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Thank you for contributing an eval! ♥️

🚨 Please make sure your PR follows these guidelines, failure to follow the guidelines below will result in the PR being closed automatically. Note that even if the criteria are met, that does not guarantee the PR will be merged nor GPT-4 access granted. 🚨

PLEASE READ THIS:

In order for a PR to be merged, it must fail on GPT-4. We are aware that right now, users do not have access, so you will not be able to tell if the eval fails or not. Please run your eval with GPT-3.5-Turbo, but keep in mind as we run the eval, if GPT-4 gets higher than 90% on the eval, we will likely reject since GPT-4 is already capable of completing the task.

We plan to roll out a way for users submitting evals to see the eval performance on GPT-4 soon. Stay tuned! Until then, you will not be able to see the eval performance on GPT-4. Starting April 10, the minimum eval count is 15 samples, we hope this makes it easier to create and contribute evals.

Also, pelase note that we're using Git LFS for storing the JSON files, so please make sure that you move the JSON file to Git LFS before submitting a PR. Details on how to use Git LFS are available here.

Eval details 📑

Eval name

Cardinal Directions

Eval description

This eval tests the model's ability to make an internal representation of relative positions and reason about cardinal directions. It's a refinement of my previously submitted PR Relative Orientations (#1000 ), containing a handful of selected problems which make a more thematically consistent set of samples. Adjustments were made to improve the clarity, quality, as well as the diversity of parameters in the selected prompts for a more comprehensive assessment of problem-solving ability.

What makes this a useful eval?

It helps test the model's spatial reasoning ability

Criteria for a good eval ✅

Below are some of the criteria we look for in a good eval. In general, we are seeking cases where the model does not do a good job despite being capable of generating a good response (note that there are some things large language models cannot do, so those would not make good evals).

Your eval should be:

  • Thematically consistent: The eval should be thematically consistent. We'd like to see a number of prompts all demonstrating some particular failure mode. For example, we can create an eval on cases where the model fails to reason about the physical world.
  • Contains failures where a human can do the task, but either GPT-4 or GPT-3.5-Turbo could not.
  • Includes good signal around what is the right behavior. This means either a correct answer for Basic evals or the Fact Model-graded eval, or an exhaustive rubric for evaluating answers for the Criteria Model-graded eval.
  • Include at least 15 high quality examples.

If there is anything else that makes your eval worth including, please document it below.

Unique eval value

Insert what makes your eval high quality that was not mentioned above. (Not required)

Eval structure 🏗️

Your eval should

  • Check that your data is in evals/registry/data/{name}
  • Check that your yaml is registered at evals/registry/evals/{name}.yaml
  • Ensure you have the right to use the data you submit via this eval

(For now, we will only be approving evals that use one of the existing eval classes. You may still write custom eval classes for your own cases, and we may consider merging them in the future.)

Final checklist 👀

Submission agreement

By contributing to Evals, you are agreeing to make your evaluation logic and data under the same MIT license as this repository. You must have adequate rights to upload any data used in an Eval. OpenAI reserves the right to use this data in future service improvements to our product. Contributions to OpenAI Evals will be subject to our usual Usage Policies (https://platform.openai.com/docs/usage-policies).

  • I agree that my submission will be made available under an MIT license and complies with OpenAI's usage policies.

Email address validation

If your submission is accepted, we will be granting GPT-4 access to a limited number of contributors. Access will be given to the email address associated with the merged pull request.

  • I acknowledge that GPT-4 access will only be granted, if applicable, to the email address used for my merged pull request.

Limited availability acknowledgement

We know that you might be excited to contribute to OpenAI's mission, help improve our models, and gain access to GPT-4. However, due to the requirements mentioned above and high volume of submissions, we will not be able to accept all submissions and thus not grant everyone who opens a PR GPT-4 access. We know this is disappointing, but we hope to set the right expectation before you open this PR.

  • I understand that opening a PR, even if it meets the requirements above, does not guarantee the PR will be merged nor GPT-4 access granted.

Submit eval

  • I have filled out all required fields of this form
  • I have used Git LFS for the Eval JSON data
  • (Ignore if not submitting code) I have run pip install pre-commit; pre-commit install and have verified that black, isort, and autoflake are running when I commit and push

Failure to fill out all required fields will result in the PR being closed.

Eval JSON data

Since we are using Git LFS, we are asking eval submitters to add in as many Eval Samples (at least 5) from their contribution here:

View evals in JSON

Eval

{"input": [{"role": "user", "content": "Chloe, Kate, Drew, and Mikey are gathered in a circle. Drew is opposite Chloe and Kate sees Chloe to her left. At the center is a bottle which points towards Mikey. When Chloe spins the bottle, it rotates two and three-quarters of a full circle. Who is the person opposite the direction the bottle is pointing? Please respond with only one of the following options: \"Chloe\", \"Mikey\", \"Drew\", \"Kate\""}, {"role":"system","content":"Do not provide any information apart from the answer. Do not include punctuations in the answer."}], "ideal": "Drew"}
{"input": [{"role": "user", "content": "Daniel, Emily, Richard, and Max are gathered in a circle. Richard is opposite Daniel and Emily sees Daniel to her left. If Daniel points towards Max he points North West. If Emily points towards Richard what direction does she point? Please respond with only one of the following options: \"North\", \"South\", \"East\", \"West\", \"North East\", \"North West\", \"South East\", \"South West\""}, {"role":"system","content":"Do not provide any information apart from the answer. Do not include punctuations in the answer."}], "ideal": "North West"}
{"input": [{"role": "user", "content": "Leonard, Marie, Carl, and Martin are gathered in a circle. Carl is opposite Leonard and Marie sees Leonard to her right. If Carl points towards Leonard, he points directly North. If Leonard points towards Martin, in what direction does he point? Please respond with only one of the following options: \"North\", \"South\", \"East\", \"West\", \"North East\", \"North West\", \"South East\", \"South West\""}, {"role":"system","content":"Do not provide any information apart from the answer. Do not include punctuations in the answer."}], "ideal": "South West"}
{"input": [{"role": "user", "content": "Two perpendicular paths intersect at a cross. There is a banana peel along one path away from the intersection. Drew is walking directly North along one path when he sees the banana peel to his right. Frank sees Drew ahead of him as they both move towards the intersection. When Frank takes a turn at the intersection he avoids the banana peel by walking around it. In which direction did Frank turn at the intersection? Please respond with only one of the following options: \"North\", \"South\", \"East\", \"West\", \"North East\", \"North West\", \"South East\", \"South West\""}, {"role":"system","content":"Do not provide any information apart from the answer. Do not include punctuations in the answer."}], "ideal": "East"}
{"input": [{"role": "user", "content": "Two perpendicular paths intersect in a cross. Alan walks along one path while Gordon walks along the other. Gordon is walking directly North. As they both move towards the intersection, Gordon sees Alan to his left. What direction is Gordon headed? Please respond with only one of the following options: \"North\", \"South\", \"West\", \"East\", \"North West\", \"North East\", \"South West\", \"South East\""}, {"role":"system","content":"Do not provide any information apart from the answer. Do not include punctuations in the answer."}], "ideal": "West"}
{"input": [{"role": "user", "content": "Two birds are flying in perpendicular paths. One bird is flying Northward and the other Eastward. As Will is walking a straight path, he sees both birds on his right moving away from each other. Which direction is Will headed? Please respond with only one of the following options: \"North\", \"South\", \"East\", \"West\", \"North East\", \"North West\", \"South East\", \"South West\""}, {"role":"system","content":"Do not provide any information apart from the answer. Do not include punctuations in the answer."}], "ideal": "North West"}
{"input": [{"role": "user", "content": "Two birds are flying in perpendicular paths. One bird is flying Southward and the other Westward. As Ryan is walking a straight path, he sees both birds on his left moving away from each other. Which direction is Ryan headed? Please respond with only one of the following options: \"North\", \"South\", \"East\", \"West\", \"North East\", \"North West\", \"South East\", \"South West\""}, {"role":"system","content":"Do not provide any information apart from the answer. Do not include punctuations in the answer."}], "ideal": "North West"}
{"input": [{"role": "user", "content": "I face a circular fountain in such a way that a statue of Alan Turing at the center of the fountain faces me. I walk straight towards the fountain until I reach its edge. I then start walking counter-clockwise along the edge of the fountain. After walking three-quarters of a circle around the fountain I start walking a straight path. If Alan is facing North, which direction am I headed? Please respond only with \"North\", \"South\", \"West\", or \"East\""}, {"role":"system","content":"Do not provide any information apart from the answer. Do not include punctuations in the answer."}], "ideal": "North"}
{"input": [{"role": "user", "content": "I face a circular fountain in such a way that a statue of Alan Turing at the center of the fountain faces me. I walk straight towards the fountain until I reach its edge. I then start walking counter-clockwise along the edge of the fountain. After walking full circle around the fountain I start walking a straight path. If Alan is facing East, which direction am I headed? Please respond only with \"North\", \"South\", \"West\", or \"East\""}, {"role":"system","content":"Do not provide any information apart from the answer. Do not include punctuations in the answer."}], "ideal": "North"}
{"input": [{"role": "user", "content": "I face a circular fountain in such a way that a statue of Alan Turing at the center of the fountain faces me. I walk straight towards the fountain until I reach its edge. I then start walking clockwise along the edge of the fountain. After walking quarter circle around the fountain I start walking a straight path. If Alan is facing South, which direction am I headed? Please respond only with \"North\", \"South\", \"East\", or \"West\""}, {"role":"system","content":"Do not provide any information apart from the answer. Do not include punctuations in the answer."}], "ideal": "North"}
{"input": [{"role": "user", "content": "I face a circular fountain in such a way that a statue of Alan Turing at the center of the fountain faces me. I walk straight towards the fountain until I reach its edge. I then start walking clockwise along the edge of the fountain. After walking half circle around the fountain I start walking a straight path. If Alan is facing West, which direction am I headed? Please respond only with \"North\", \"South\", \"East\", or \"West\""}, {"role":"system","content":"Do not provide any information apart from the answer. Do not include punctuations in the answer."}], "ideal": "South"}
{"input": [{"role": "user", "content": "I am walking a straight path in a courtyard as the sun is setting. I see a bird fly towards the sun. The bird came from my right and our paths are perpendicular. Which direction am I headed? Please respond only with \"South\". \"East\", \"North\" or \"West\"."}, {"role":"system","content":"Do not provide any information apart from the answer. Do not include punctuations in the answer."}], "ideal": "North"}
{"input": [{"role": "user", "content": "I am walking a straight path in a courtyard as the sun is setting. I see a bird fly away from the sun. The bird came from my left and our paths are perpendicular. Which direction am I headed? Please respond only with \"South\". \"East\", \"North\" or \"West\"."}, {"role":"system","content":"Do not provide any information apart from the answer. Do not include punctuations in the answer."}], "ideal": "North"}
{"input": [{"role": "user", "content": "I am walking a straight path in a courtyard as the sun is setting. I see a bird fly away from the sun. The bird came from my right and our paths are perpendicular. Which direction am I headed? Please respond only with \"South\". \"East\", \"North\" or \"West\"."}, {"role":"system","content":"Do not provide any information apart from the answer. Do not include punctuations in the answer."}], "ideal": "South"}
{"input": [{"role": "user", "content": "I am walking a straight path in a courtyard as the sun is setting. I see a bird fly towards the sun. The bird came from my left and our paths are perpendicular. Which direction am I headed? Please respond only with \"South\". \"East\", \"North\" or \"West\"."}, {"role":"system", "content":"Do not provide any information apart from the answer. Do not include punctuations in the answer."}], "ideal": "South"}

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Thanks for submitting this eval! This PR looks good. I'm approving this PR.

@andrew-openai andrew-openai merged commit 5a31f8f into openai:main Jun 1, 2023
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You should see GPT-4 API access enabled in your account in the next few days.

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dbautista1 commented Jun 1, 2023

Thanks @usama-openai, I'm really glad I can contribute. I'm still working on improving the whole of the previous PR Relative Orientations (#1000 )which this one was based on. By the time I'm finished improving the prompt and as well as the questions, I intend to be able to provide an answer key with diagrams which could help verify ideals during review. Then if necessary we could discuss pruning and merging samples from that PR with this one or vice versa. It's been a busy week but I'm trying to prepare it for you guys as soon as possible. Kind regards.

@thair116 thair116 mentioned this pull request Jun 4, 2023
13 tasks
andrew-openai pushed a commit that referenced this pull request Jun 7, 2023
# Thank you for contributing an eval! ♥️

🚨 Please make sure your PR follows these guidelines, **failure to follow
the guidelines below will result in the PR being closed automatically**.
Note that even if the criteria are met, that does not guarantee the PR
will be merged nor GPT-4 access be granted. 🚨

**PLEASE READ THIS**:

In order for a PR to be merged, it must fail on GPT-4. We are aware that
right now, users do not have access, so you will not be able to tell if
the eval fails or not. Please run your eval with GPT-3.5-Turbo, but keep
in mind as we run the eval, if GPT-4 gets higher than 90% on the eval,
we will likely reject it since GPT-4 is already capable of completing
the task.

We plan to roll out a way for users submitting evals to see the eval
performance on GPT-4 soon. Stay tuned! Until then, you will not be able
to see the eval performance on GPT-4. **Starting April 10, the minimum
eval count is 15 samples, we hope this makes it easier to create and
contribute evals.**

Also, please note that we're using **Git LFS** for storing the JSON
files, so please make sure that you move the JSON file to Git LFS before
submitting a PR. Details on how to use Git LFS are available
[here](https://git-lfs.com).

## Eval details 📑

### Eval name

3D Globe Movement

### Eval description
This eval tests an LLMs ability to understand 3D movement through space,
in particular movement on or through planet Earth. Each example provides
a starting point and a path consisting of one or two movements, and the
expected answer is a state/province or ocean.

Similar to the evals from #462 and
#1060, this eval shows how difficult
movement is for LLMs to understand, and builds upon those by showing how
the problem is seemingly magnified by 3D movement and/or by requesting a
region as answer rather than numerical positions.

Testing on gpt-3.5-turbo, accuracy ranges from ~0.24 to ~0.31 

### What makes this a useful eval?
This eval demonstrates that a long series of steps is not necessary in
order to create a path that GPT is unable to follow, and that a simple
trip to the planet's core and back again, with a slight offset in any
direction, will often get it lost.

Whereas it can often handle "travel 15 degrees East", hiding that actual
travel behind a 2-step 3D path significantly hurts the model's
performance.

Interestingly, this eval seems to demonstrate the statistical rather
than reasoning nature of GPT, as regardless of starting point or path,
it shows a bias towards answering with oceans, especially the Pacific
Ocean.

## Criteria for a good eval ✅

Below are some of the criteria we look for in a good eval. In general,
we are seeking cases where the model does not do a good job despite
being capable of generating a good response (note that there are some
things large language models cannot do, so those would not make good
evals).

Your eval should be:

- [x] Thematically consistent: The eval should be thematically
consistent. We'd like to see a number of prompts all demonstrating some
particular failure mode. For example, we can create an eval on cases
where the model fails to reason about the physical world.
- [x] Contains failures where a human can do the task, but either GPT-4
or GPT-3.5-Turbo could not.
- [x] Includes good signal around what is the right behavior. This means
either a correct answer for `Basic` evals or the `Fact` Model-graded
eval, or an exhaustive rubric for evaluating answers for the `Criteria`
Model-graded eval.
- [x] **Include at least 15 high-quality examples.**

If there is anything else that makes your eval worth including, please
document it below.

### Unique eval value

> Insert what makes your eval high quality that was not mentioned above.
(Not required)

## Eval structure 🏗️

Your eval should

- [x] Check that your data is in `evals/registry/data/{name}`
- [x] Check that your YAML is registered at
`evals/registry/evals/{name}.yaml`
- [x] Ensure you have the right to use the data you submit via this eval

(For now, we will only be approving evals that use one of the existing
eval classes. You may still write custom eval classes for your own
cases, and we may consider merging them in the future.)

## Final checklist 👀

### Submission agreement

By contributing to Evals, you are agreeing to make your evaluation logic
and data under the same MIT license as this repository. You must have
adequate rights to upload any data used in an Eval. OpenAI reserves the
right to use this data in future service improvements to our product.
Contributions to OpenAI Evals will be subject to our usual Usage
Policies (<https://platform.openai.com/docs/usage-policies>).

- [x] I agree that my submission will be made available under an MIT
license and complies with OpenAI's usage policies.

### Email address validation

If your submission is accepted, we will be granting GPT-4 access to a
limited number of contributors. Access will be given to the email
address associated with the merged pull request.

- [x] I acknowledge that GPT-4 access will only be granted, if
applicable, to the email address used for my merged pull request.

### Limited availability acknowledgment

We know that you might be excited to contribute to OpenAI's mission,
help improve our models, and gain access to GPT-4. However, due to the
requirements mentioned above and the high volume of submissions, we will
not be able to accept all submissions and thus not grant everyone who
opens a PR GPT-4 access. We know this is disappointing, but we hope to
set the right expectation before you open this PR.

- [x] I understand that opening a PR, even if it meets the requirements
above, does not guarantee the PR will be merged nor GPT-4 access be
granted.

### Submit eval

- [x] I have filled out all required fields of this form
- [x] I have used **Git LFS** for the Eval JSON data
- [x] (Ignore if not submitting code) I have run `pip install
pre-commit; pre-commit install` and have verified that `black`, `isort`,
and `autoflake` are running when I commit and push

Failure to fill out all required fields will result in the PR being
closed.

### Eval JSON data

Since we are using Git LFS, we are asking eval submitters to add in as
many Eval Samples (at least 5) from their contribution here:

<details>
  <summary>View evals in JSON</summary>

  ### Eval
  ```jsonl
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of San Francisco and travel directly
downwards to the center of the Earth, then straight up, back to the
surface, at a 15 degree offset to the East"}], "ideal": "Colorado"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of San Francisco and travel due East 15
degrees"}], "ideal": "Colorado"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of San Francisco and travel due East 0.1
degrees"}], "ideal": "California"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of San Francisco and travel due East 1
meter"}], "ideal": "California"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of San Francisco and travel 0 meter"}],
"ideal": "California"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of San Francisco and make one complete
revolution around the planet"}], "ideal": "California"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of San Francisco and travel directly
downwards to the center of the Earth, then straight up, back to the
surface, at a 1 degree offset to the East"}], "ideal": "California"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of San Francisco and travel directly
downwards to the center of the Earth, then straight up, back to the
surface, at a 0.1 degree offset to the East"}], "ideal": "California"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of San Francisco and travel directly
downwards to the center of the Earth, then straight up, back to the
surface, at a 0.01 degree offset to the East"}], "ideal": "California"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of San Francisco and travel directly
downwards to the center of the Earth, then straight up, back to the
surface, at a 1 degree offset to the West"}], "ideal": "Pacific Ocean"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of San Francisco and travel directly
downwards to the center of the Earth, then straight up, back to the
surface, at a 90 degree offset to the East"}], "ideal": "Atlantic
Ocean"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of San Francisco and travel directly
downwards to the center of the Earth, then straight up, back to the
surface, at a 180 degree offset to the East"}], "ideal": "Ahal"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of San Francisco and travel directly
downwards to the center of the Earth, then straight up, back to the
surface, at a 1 degree offset to the North"}], "ideal": "California"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of Kansas City and travel directly
downwards to the center of the Earth, then straight up, back to the
surface, at a 15 degree offset to the East"}], "ideal": "West Virginia"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of Kansas City and travel directly
downwards to the center of the Earth, then straight up, back to the
surface, at a 15 degree offset to the West"}], "ideal": "Utah"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of New York City and travel directly
downwards to the center of the Earth, then straight up, back to the
surface, at a 1 degree offset to the East"}], "ideal": "Atlantic Ocean"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of New York City and travel due East 10
degrees"}], "ideal": "Atlantic Ocean"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of New York City and travel due East 500
kilometers"}], "ideal": "Atlantic Ocean"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of New York City and travel directly
downwards to the center of the Earth, then straight up, back to the
surface, at a 1 degree offset to the West"}], "ideal": "New Jersey"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of New York City and travel directly
downwards to the center of the Earth, then straight up, back to the
surface, at a 10 degree offset to the West"}], "ideal": "Ohio"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of New York City and travel due West 10
degrees"}], "ideal": "Ohio"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of New York City and travel due West 15
degrees"}], "ideal": "Illinois"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of New York City and travel due West 25
degrees"}], "ideal": "Nebraska"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of New York City and travel due West 30
degrees"}], "ideal": "Colorado"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of New York City and travel due West 35
degrees"}], "ideal": "Colorado"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of Oklahoma City and travel directly
downwards to the center of the Earth, then straight up, back to the
surface, at a 0.1 degree offset to the East"}], "ideal": "Oklahoma"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of Oklahoma City and travel directly
downwards to the center of the Earth, then straight up, back to the
surface along the same path that was traveled downards."}], "ideal":
"Oklahoma"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of Oklahoma City and travel directly
downwards to the center of the Earth, then continue onwards to the other
side of the planet"}], "ideal": "Xinjiang"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of Oklahoma City and travel directly
downwards through to the other side of the Earth"}], "ideal":
"Xinjiang"}

  ```
</details>
arbreton pushed a commit to arbreton/evals that referenced this pull request Jul 8, 2023
# Thank you for contributing an eval! ♥️

🚨 Please make sure your PR follows these guidelines, __failure to follow
the guidelines below will result in the PR being closed automatically__.
Note that even if the criteria are met, that does not guarantee the PR
will be merged nor GPT-4 access granted. 🚨

__PLEASE READ THIS__:

In order for a PR to be merged, it must fail on GPT-4. We are aware that
right now, users do not have access, so you will not be able to tell if
the eval fails or not. Please run your eval with GPT-3.5-Turbo, but keep
in mind as we run the eval, if GPT-4 gets higher than 90% on the eval,
we will likely reject since GPT-4 is already capable of completing the
task.

We plan to roll out a way for users submitting evals to see the eval
performance on GPT-4 soon. Stay tuned! Until then, you will not be able
to see the eval performance on GPT-4. **Starting April 10, the minimum
eval count is 15 samples, we hope this makes it easier to create and
contribute evals.**

Also, pelase note that we're using **Git LFS** for storing the JSON
files, so please make sure that you move the JSON file to Git LFS before
submitting a PR. Details on how to use Git LFS are available
[here](https://git-lfs.com).

## Eval details 📑
### Eval name
Cardinal Directions

### Eval description

This eval tests the model's ability to make an internal representation
of relative positions and reason about cardinal directions. It's a
refinement of my previously submitted PR Relative Orientations (openai#1000 ),
containing a handful of selected problems which make a more thematically
consistent set of samples. Adjustments were made to improve the clarity,
quality, as well as the diversity of parameters in the selected prompts
for a more comprehensive assessment of problem-solving ability.

### What makes this a useful eval?

It helps test the model's spatial reasoning ability

## Criteria for a good eval ✅

Below are some of the criteria we look for in a good eval. In general,
we are seeking cases where the model does not do a good job despite
being capable of generating a good response (note that there are some
things large language models cannot do, so those would not make good
evals).

Your eval should be:

- [x] Thematically consistent: The eval should be thematically
consistent. We'd like to see a number of prompts all demonstrating some
particular failure mode. For example, we can create an eval on cases
where the model fails to reason about the physical world.
- [x] Contains failures where a human can do the task, but either GPT-4
or GPT-3.5-Turbo could not.
- [x] Includes good signal around what is the right behavior. This means
either a correct answer for `Basic` evals or the `Fact` Model-graded
eval, or an exhaustive rubric for evaluating answers for the `Criteria`
Model-graded eval.
- [x] **Include at least 15 high quality examples.**

If there is anything else that makes your eval worth including, please
document it below.

### Unique eval value

> Insert what makes your eval high quality that was not mentioned above.
(Not required)

## Eval structure 🏗️

Your eval should
- [x] Check that your data is in `evals/registry/data/{name}`
- [x] Check that your yaml is registered at
`evals/registry/evals/{name}.yaml`
- [x] Ensure you have the right to use the data you submit via this eval

(For now, we will only be approving evals that use one of the existing
eval classes. You may still write custom eval classes for your own
cases, and we may consider merging them in the future.)

## Final checklist 👀

### Submission agreement

By contributing to Evals, you are agreeing to make your evaluation logic
and data under the same MIT license as this repository. You must have
adequate rights to upload any data used in an Eval. OpenAI reserves the
right to use this data in future service improvements to our product.
Contributions to OpenAI Evals will be subject to our usual Usage
Policies (https://platform.openai.com/docs/usage-policies).

- [x] I agree that my submission will be made available under an MIT
license and complies with OpenAI's usage policies.

### Email address validation

If your submission is accepted, we will be granting GPT-4 access to a
limited number of contributors. Access will be given to the email
address associated with the merged pull request.

- [x] I acknowledge that GPT-4 access will only be granted, if
applicable, to the email address used for my merged pull request.

### Limited availability acknowledgement

We know that you might be excited to contribute to OpenAI's mission,
help improve our models, and gain access to GPT-4. However, due to the
requirements mentioned above and high volume of submissions, we will not
be able to accept all submissions and thus not grant everyone who opens
a PR GPT-4 access. We know this is disappointing, but we hope to set the
right expectation before you open this PR.

- [x] I understand that opening a PR, even if it meets the requirements
above, does not guarantee the PR will be merged nor GPT-4 access
granted.

### Submit eval

- [x] I have filled out all required fields of this form
- [x] I have used **Git LFS** for the Eval JSON data
- [ ] (Ignore if not submitting code) I have run `pip install
pre-commit; pre-commit install` and have verified that `black`, `isort`,
and `autoflake` are running when I commit and push

Failure to fill out all required fields will result in the PR being
closed.

### Eval JSON data 

Since we are using Git LFS, we are asking eval submitters to add in as
many Eval Samples (at least 5) from their contribution here:

<details>
  <summary>View evals in JSON</summary>

  ### Eval
  ```jsonl
{"input": [{"role": "user", "content": "Chloe, Kate, Drew, and Mikey are
gathered in a circle. Drew is opposite Chloe and Kate sees Chloe to her
left. At the center is a bottle which points towards Mikey. When Chloe
spins the bottle, it rotates two and three-quarters of a full circle.
Who is the person opposite the direction the bottle is pointing? Please
respond with only one of the following options: \"Chloe\", \"Mikey\",
\"Drew\", \"Kate\""}, {"role":"system","content":"Do not provide any
information apart from the answer. Do not include punctuations in the
answer."}], "ideal": "Drew"}
{"input": [{"role": "user", "content": "Daniel, Emily, Richard, and Max
are gathered in a circle. Richard is opposite Daniel and Emily sees
Daniel to her left. If Daniel points towards Max he points North West.
If Emily points towards Richard what direction does she point? Please
respond with only one of the following options: \"North\", \"South\",
\"East\", \"West\", \"North East\", \"North West\", \"South East\",
\"South West\""}, {"role":"system","content":"Do not provide any
information apart from the answer. Do not include punctuations in the
answer."}], "ideal": "North West"}
{"input": [{"role": "user", "content": "Leonard, Marie, Carl, and Martin
are gathered in a circle. Carl is opposite Leonard and Marie sees
Leonard to her right. If Carl points towards Leonard, he points directly
North. If Leonard points towards Martin, in what direction does he
point? Please respond with only one of the following options: \"North\",
\"South\", \"East\", \"West\", \"North East\", \"North West\", \"South
East\", \"South West\""}, {"role":"system","content":"Do not provide any
information apart from the answer. Do not include punctuations in the
answer."}], "ideal": "South West"}
{"input": [{"role": "user", "content": "Two perpendicular paths
intersect at a cross. There is a banana peel along one path away from
the intersection. Drew is walking directly North along one path when he
sees the banana peel to his right. Frank sees Drew ahead of him as they
both move towards the intersection. When Frank takes a turn at the
intersection he avoids the banana peel by walking around it. In which
direction did Frank turn at the intersection? Please respond with only
one of the following options: \"North\", \"South\", \"East\", \"West\",
\"North East\", \"North West\", \"South East\", \"South West\""},
{"role":"system","content":"Do not provide any information apart from
the answer. Do not include punctuations in the answer."}], "ideal":
"East"}
{"input": [{"role": "user", "content": "Two perpendicular paths
intersect in a cross. Alan walks along one path while Gordon walks along
the other. Gordon is walking directly North. As they both move towards
the intersection, Gordon sees Alan to his left. What direction is Gordon
headed? Please respond with only one of the following options:
\"North\", \"South\", \"West\", \"East\", \"North West\", \"North
East\", \"South West\", \"South East\""}, {"role":"system","content":"Do
not provide any information apart from the answer. Do not include
punctuations in the answer."}], "ideal": "West"}
{"input": [{"role": "user", "content": "Two birds are flying in
perpendicular paths. One bird is flying Northward and the other
Eastward. As Will is walking a straight path, he sees both birds on his
right moving away from each other. Which direction is Will headed?
Please respond with only one of the following options: \"North\",
\"South\", \"East\", \"West\", \"North East\", \"North West\", \"South
East\", \"South West\""}, {"role":"system","content":"Do not provide any
information apart from the answer. Do not include punctuations in the
answer."}], "ideal": "North West"}
{"input": [{"role": "user", "content": "Two birds are flying in
perpendicular paths. One bird is flying Southward and the other
Westward. As Ryan is walking a straight path, he sees both birds on his
left moving away from each other. Which direction is Ryan headed? Please
respond with only one of the following options: \"North\", \"South\",
\"East\", \"West\", \"North East\", \"North West\", \"South East\",
\"South West\""}, {"role":"system","content":"Do not provide any
information apart from the answer. Do not include punctuations in the
answer."}], "ideal": "North West"}
{"input": [{"role": "user", "content": "I face a circular fountain in
such a way that a statue of Alan Turing at the center of the fountain
faces me. I walk straight towards the fountain until I reach its edge. I
then start walking counter-clockwise along the edge of the fountain.
After walking three-quarters of a circle around the fountain I start
walking a straight path. If Alan is facing North, which direction am I
headed? Please respond only with \"North\", \"South\", \"West\", or
\"East\""}, {"role":"system","content":"Do not provide any information
apart from the answer. Do not include punctuations in the answer."}],
"ideal": "North"}
{"input": [{"role": "user", "content": "I face a circular fountain in
such a way that a statue of Alan Turing at the center of the fountain
faces me. I walk straight towards the fountain until I reach its edge. I
then start walking counter-clockwise along the edge of the fountain.
After walking full circle around the fountain I start walking a straight
path. If Alan is facing East, which direction am I headed? Please
respond only with \"North\", \"South\", \"West\", or \"East\""},
{"role":"system","content":"Do not provide any information apart from
the answer. Do not include punctuations in the answer."}], "ideal":
"North"}
{"input": [{"role": "user", "content": "I face a circular fountain in
such a way that a statue of Alan Turing at the center of the fountain
faces me. I walk straight towards the fountain until I reach its edge. I
then start walking clockwise along the edge of the fountain. After
walking quarter circle around the fountain I start walking a straight
path. If Alan is facing South, which direction am I headed? Please
respond only with \"North\", \"South\", \"East\", or \"West\""},
{"role":"system","content":"Do not provide any information apart from
the answer. Do not include punctuations in the answer."}], "ideal":
"North"}
{"input": [{"role": "user", "content": "I face a circular fountain in
such a way that a statue of Alan Turing at the center of the fountain
faces me. I walk straight towards the fountain until I reach its edge. I
then start walking clockwise along the edge of the fountain. After
walking half circle around the fountain I start walking a straight path.
If Alan is facing West, which direction am I headed? Please respond only
with \"North\", \"South\", \"East\", or \"West\""},
{"role":"system","content":"Do not provide any information apart from
the answer. Do not include punctuations in the answer."}], "ideal":
"South"}
{"input": [{"role": "user", "content": "I am walking a straight path in
a courtyard as the sun is setting. I see a bird fly towards the sun. The
bird came from my right and our paths are perpendicular. Which direction
am I headed? Please respond only with \"South\". \"East\", \"North\" or
\"West\"."}, {"role":"system","content":"Do not provide any information
apart from the answer. Do not include punctuations in the answer."}],
"ideal": "North"}
{"input": [{"role": "user", "content": "I am walking a straight path in
a courtyard as the sun is setting. I see a bird fly away from the sun.
The bird came from my left and our paths are perpendicular. Which
direction am I headed? Please respond only with \"South\". \"East\",
\"North\" or \"West\"."}, {"role":"system","content":"Do not provide any
information apart from the answer. Do not include punctuations in the
answer."}], "ideal": "North"}
{"input": [{"role": "user", "content": "I am walking a straight path in
a courtyard as the sun is setting. I see a bird fly away from the sun.
The bird came from my right and our paths are perpendicular. Which
direction am I headed? Please respond only with \"South\". \"East\",
\"North\" or \"West\"."}, {"role":"system","content":"Do not provide any
information apart from the answer. Do not include punctuations in the
answer."}], "ideal": "South"}
{"input": [{"role": "user", "content": "I am walking a straight path in
a courtyard as the sun is setting. I see a bird fly towards the sun. The
bird came from my left and our paths are perpendicular. Which direction
am I headed? Please respond only with \"South\". \"East\", \"North\" or
\"West\"."}, {"role":"system", "content":"Do not provide any information
apart from the answer. Do not include punctuations in the answer."}],
"ideal": "South"}
  ```
</details>
arbreton pushed a commit to arbreton/evals that referenced this pull request Jul 8, 2023
# Thank you for contributing an eval! ♥️

🚨 Please make sure your PR follows these guidelines, **failure to follow
the guidelines below will result in the PR being closed automatically**.
Note that even if the criteria are met, that does not guarantee the PR
will be merged nor GPT-4 access be granted. 🚨

**PLEASE READ THIS**:

In order for a PR to be merged, it must fail on GPT-4. We are aware that
right now, users do not have access, so you will not be able to tell if
the eval fails or not. Please run your eval with GPT-3.5-Turbo, but keep
in mind as we run the eval, if GPT-4 gets higher than 90% on the eval,
we will likely reject it since GPT-4 is already capable of completing
the task.

We plan to roll out a way for users submitting evals to see the eval
performance on GPT-4 soon. Stay tuned! Until then, you will not be able
to see the eval performance on GPT-4. **Starting April 10, the minimum
eval count is 15 samples, we hope this makes it easier to create and
contribute evals.**

Also, please note that we're using **Git LFS** for storing the JSON
files, so please make sure that you move the JSON file to Git LFS before
submitting a PR. Details on how to use Git LFS are available
[here](https://git-lfs.com).

## Eval details 📑

### Eval name

3D Globe Movement

### Eval description
This eval tests an LLMs ability to understand 3D movement through space,
in particular movement on or through planet Earth. Each example provides
a starting point and a path consisting of one or two movements, and the
expected answer is a state/province or ocean.

Similar to the evals from openai#462 and
openai#1060, this eval shows how difficult
movement is for LLMs to understand, and builds upon those by showing how
the problem is seemingly magnified by 3D movement and/or by requesting a
region as answer rather than numerical positions.

Testing on gpt-3.5-turbo, accuracy ranges from ~0.24 to ~0.31 

### What makes this a useful eval?
This eval demonstrates that a long series of steps is not necessary in
order to create a path that GPT is unable to follow, and that a simple
trip to the planet's core and back again, with a slight offset in any
direction, will often get it lost.

Whereas it can often handle "travel 15 degrees East", hiding that actual
travel behind a 2-step 3D path significantly hurts the model's
performance.

Interestingly, this eval seems to demonstrate the statistical rather
than reasoning nature of GPT, as regardless of starting point or path,
it shows a bias towards answering with oceans, especially the Pacific
Ocean.

## Criteria for a good eval ✅

Below are some of the criteria we look for in a good eval. In general,
we are seeking cases where the model does not do a good job despite
being capable of generating a good response (note that there are some
things large language models cannot do, so those would not make good
evals).

Your eval should be:

- [x] Thematically consistent: The eval should be thematically
consistent. We'd like to see a number of prompts all demonstrating some
particular failure mode. For example, we can create an eval on cases
where the model fails to reason about the physical world.
- [x] Contains failures where a human can do the task, but either GPT-4
or GPT-3.5-Turbo could not.
- [x] Includes good signal around what is the right behavior. This means
either a correct answer for `Basic` evals or the `Fact` Model-graded
eval, or an exhaustive rubric for evaluating answers for the `Criteria`
Model-graded eval.
- [x] **Include at least 15 high-quality examples.**

If there is anything else that makes your eval worth including, please
document it below.

### Unique eval value

> Insert what makes your eval high quality that was not mentioned above.
(Not required)

## Eval structure 🏗️

Your eval should

- [x] Check that your data is in `evals/registry/data/{name}`
- [x] Check that your YAML is registered at
`evals/registry/evals/{name}.yaml`
- [x] Ensure you have the right to use the data you submit via this eval

(For now, we will only be approving evals that use one of the existing
eval classes. You may still write custom eval classes for your own
cases, and we may consider merging them in the future.)

## Final checklist 👀

### Submission agreement

By contributing to Evals, you are agreeing to make your evaluation logic
and data under the same MIT license as this repository. You must have
adequate rights to upload any data used in an Eval. OpenAI reserves the
right to use this data in future service improvements to our product.
Contributions to OpenAI Evals will be subject to our usual Usage
Policies (<https://platform.openai.com/docs/usage-policies>).

- [x] I agree that my submission will be made available under an MIT
license and complies with OpenAI's usage policies.

### Email address validation

If your submission is accepted, we will be granting GPT-4 access to a
limited number of contributors. Access will be given to the email
address associated with the merged pull request.

- [x] I acknowledge that GPT-4 access will only be granted, if
applicable, to the email address used for my merged pull request.

### Limited availability acknowledgment

We know that you might be excited to contribute to OpenAI's mission,
help improve our models, and gain access to GPT-4. However, due to the
requirements mentioned above and the high volume of submissions, we will
not be able to accept all submissions and thus not grant everyone who
opens a PR GPT-4 access. We know this is disappointing, but we hope to
set the right expectation before you open this PR.

- [x] I understand that opening a PR, even if it meets the requirements
above, does not guarantee the PR will be merged nor GPT-4 access be
granted.

### Submit eval

- [x] I have filled out all required fields of this form
- [x] I have used **Git LFS** for the Eval JSON data
- [x] (Ignore if not submitting code) I have run `pip install
pre-commit; pre-commit install` and have verified that `black`, `isort`,
and `autoflake` are running when I commit and push

Failure to fill out all required fields will result in the PR being
closed.

### Eval JSON data

Since we are using Git LFS, we are asking eval submitters to add in as
many Eval Samples (at least 5) from their contribution here:

<details>
  <summary>View evals in JSON</summary>

  ### Eval
  ```jsonl
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of San Francisco and travel directly
downwards to the center of the Earth, then straight up, back to the
surface, at a 15 degree offset to the East"}], "ideal": "Colorado"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of San Francisco and travel due East 15
degrees"}], "ideal": "Colorado"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of San Francisco and travel due East 0.1
degrees"}], "ideal": "California"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of San Francisco and travel due East 1
meter"}], "ideal": "California"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of San Francisco and travel 0 meter"}],
"ideal": "California"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of San Francisco and make one complete
revolution around the planet"}], "ideal": "California"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of San Francisco and travel directly
downwards to the center of the Earth, then straight up, back to the
surface, at a 1 degree offset to the East"}], "ideal": "California"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of San Francisco and travel directly
downwards to the center of the Earth, then straight up, back to the
surface, at a 0.1 degree offset to the East"}], "ideal": "California"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of San Francisco and travel directly
downwards to the center of the Earth, then straight up, back to the
surface, at a 0.01 degree offset to the East"}], "ideal": "California"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of San Francisco and travel directly
downwards to the center of the Earth, then straight up, back to the
surface, at a 1 degree offset to the West"}], "ideal": "Pacific Ocean"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of San Francisco and travel directly
downwards to the center of the Earth, then straight up, back to the
surface, at a 90 degree offset to the East"}], "ideal": "Atlantic
Ocean"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of San Francisco and travel directly
downwards to the center of the Earth, then straight up, back to the
surface, at a 180 degree offset to the East"}], "ideal": "Ahal"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of San Francisco and travel directly
downwards to the center of the Earth, then straight up, back to the
surface, at a 1 degree offset to the North"}], "ideal": "California"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of Kansas City and travel directly
downwards to the center of the Earth, then straight up, back to the
surface, at a 15 degree offset to the East"}], "ideal": "West Virginia"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of Kansas City and travel directly
downwards to the center of the Earth, then straight up, back to the
surface, at a 15 degree offset to the West"}], "ideal": "Utah"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of New York City and travel directly
downwards to the center of the Earth, then straight up, back to the
surface, at a 1 degree offset to the East"}], "ideal": "Atlantic Ocean"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of New York City and travel due East 10
degrees"}], "ideal": "Atlantic Ocean"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of New York City and travel due East 500
kilometers"}], "ideal": "Atlantic Ocean"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of New York City and travel directly
downwards to the center of the Earth, then straight up, back to the
surface, at a 1 degree offset to the West"}], "ideal": "New Jersey"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of New York City and travel directly
downwards to the center of the Earth, then straight up, back to the
surface, at a 10 degree offset to the West"}], "ideal": "Ohio"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of New York City and travel due West 10
degrees"}], "ideal": "Ohio"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of New York City and travel due West 15
degrees"}], "ideal": "Illinois"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of New York City and travel due West 25
degrees"}], "ideal": "Nebraska"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of New York City and travel due West 30
degrees"}], "ideal": "Colorado"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of New York City and travel due West 35
degrees"}], "ideal": "Colorado"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of Oklahoma City and travel directly
downwards to the center of the Earth, then straight up, back to the
surface, at a 0.1 degree offset to the East"}], "ideal": "Oklahoma"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of Oklahoma City and travel directly
downwards to the center of the Earth, then straight up, back to the
surface along the same path that was traveled downards."}], "ideal":
"Oklahoma"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of Oklahoma City and travel directly
downwards to the center of the Earth, then continue onwards to the other
side of the planet"}], "ideal": "Xinjiang"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of Oklahoma City and travel directly
downwards through to the other side of the Earth"}], "ideal":
"Xinjiang"}

  ```
</details>
jacobbieker pushed a commit to withmartian/-ARCHIVED--router-evals that referenced this pull request Jan 9, 2024
# Thank you for contributing an eval! ♥️

🚨 Please make sure your PR follows these guidelines, __failure to follow
the guidelines below will result in the PR being closed automatically__.
Note that even if the criteria are met, that does not guarantee the PR
will be merged nor GPT-4 access granted. 🚨

__PLEASE READ THIS__:

In order for a PR to be merged, it must fail on GPT-4. We are aware that
right now, users do not have access, so you will not be able to tell if
the eval fails or not. Please run your eval with GPT-3.5-Turbo, but keep
in mind as we run the eval, if GPT-4 gets higher than 90% on the eval,
we will likely reject since GPT-4 is already capable of completing the
task.

We plan to roll out a way for users submitting evals to see the eval
performance on GPT-4 soon. Stay tuned! Until then, you will not be able
to see the eval performance on GPT-4. **Starting April 10, the minimum
eval count is 15 samples, we hope this makes it easier to create and
contribute evals.**

Also, pelase note that we're using **Git LFS** for storing the JSON
files, so please make sure that you move the JSON file to Git LFS before
submitting a PR. Details on how to use Git LFS are available
[here](https://git-lfs.com).

## Eval details 📑
### Eval name
Cardinal Directions

### Eval description

This eval tests the model's ability to make an internal representation
of relative positions and reason about cardinal directions. It's a
refinement of my previously submitted PR Relative Orientations (openai#1000 ),
containing a handful of selected problems which make a more thematically
consistent set of samples. Adjustments were made to improve the clarity,
quality, as well as the diversity of parameters in the selected prompts
for a more comprehensive assessment of problem-solving ability.

### What makes this a useful eval?

It helps test the model's spatial reasoning ability

## Criteria for a good eval ✅

Below are some of the criteria we look for in a good eval. In general,
we are seeking cases where the model does not do a good job despite
being capable of generating a good response (note that there are some
things large language models cannot do, so those would not make good
evals).

Your eval should be:

- [x] Thematically consistent: The eval should be thematically
consistent. We'd like to see a number of prompts all demonstrating some
particular failure mode. For example, we can create an eval on cases
where the model fails to reason about the physical world.
- [x] Contains failures where a human can do the task, but either GPT-4
or GPT-3.5-Turbo could not.
- [x] Includes good signal around what is the right behavior. This means
either a correct answer for `Basic` evals or the `Fact` Model-graded
eval, or an exhaustive rubric for evaluating answers for the `Criteria`
Model-graded eval.
- [x] **Include at least 15 high quality examples.**

If there is anything else that makes your eval worth including, please
document it below.

### Unique eval value

> Insert what makes your eval high quality that was not mentioned above.
(Not required)

## Eval structure 🏗️

Your eval should
- [x] Check that your data is in `evals/registry/data/{name}`
- [x] Check that your yaml is registered at
`evals/registry/evals/{name}.yaml`
- [x] Ensure you have the right to use the data you submit via this eval

(For now, we will only be approving evals that use one of the existing
eval classes. You may still write custom eval classes for your own
cases, and we may consider merging them in the future.)

## Final checklist 👀

### Submission agreement

By contributing to Evals, you are agreeing to make your evaluation logic
and data under the same MIT license as this repository. You must have
adequate rights to upload any data used in an Eval. OpenAI reserves the
right to use this data in future service improvements to our product.
Contributions to OpenAI Evals will be subject to our usual Usage
Policies (https://platform.openai.com/docs/usage-policies).

- [x] I agree that my submission will be made available under an MIT
license and complies with OpenAI's usage policies.

### Email address validation

If your submission is accepted, we will be granting GPT-4 access to a
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address associated with the merged pull request.

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applicable, to the email address used for my merged pull request.

### Limited availability acknowledgement

We know that you might be excited to contribute to OpenAI's mission,
help improve our models, and gain access to GPT-4. However, due to the
requirements mentioned above and high volume of submissions, we will not
be able to accept all submissions and thus not grant everyone who opens
a PR GPT-4 access. We know this is disappointing, but we hope to set the
right expectation before you open this PR.

- [x] I understand that opening a PR, even if it meets the requirements
above, does not guarantee the PR will be merged nor GPT-4 access
granted.

### Submit eval

- [x] I have filled out all required fields of this form
- [x] I have used **Git LFS** for the Eval JSON data
- [ ] (Ignore if not submitting code) I have run `pip install
pre-commit; pre-commit install` and have verified that `black`, `isort`,
and `autoflake` are running when I commit and push

Failure to fill out all required fields will result in the PR being
closed.

### Eval JSON data 

Since we are using Git LFS, we are asking eval submitters to add in as
many Eval Samples (at least 5) from their contribution here:

<details>
  <summary>View evals in JSON</summary>

  ### Eval
  ```jsonl
{"input": [{"role": "user", "content": "Chloe, Kate, Drew, and Mikey are
gathered in a circle. Drew is opposite Chloe and Kate sees Chloe to her
left. At the center is a bottle which points towards Mikey. When Chloe
spins the bottle, it rotates two and three-quarters of a full circle.
Who is the person opposite the direction the bottle is pointing? Please
respond with only one of the following options: \"Chloe\", \"Mikey\",
\"Drew\", \"Kate\""}, {"role":"system","content":"Do not provide any
information apart from the answer. Do not include punctuations in the
answer."}], "ideal": "Drew"}
{"input": [{"role": "user", "content": "Daniel, Emily, Richard, and Max
are gathered in a circle. Richard is opposite Daniel and Emily sees
Daniel to her left. If Daniel points towards Max he points North West.
If Emily points towards Richard what direction does she point? Please
respond with only one of the following options: \"North\", \"South\",
\"East\", \"West\", \"North East\", \"North West\", \"South East\",
\"South West\""}, {"role":"system","content":"Do not provide any
information apart from the answer. Do not include punctuations in the
answer."}], "ideal": "North West"}
{"input": [{"role": "user", "content": "Leonard, Marie, Carl, and Martin
are gathered in a circle. Carl is opposite Leonard and Marie sees
Leonard to her right. If Carl points towards Leonard, he points directly
North. If Leonard points towards Martin, in what direction does he
point? Please respond with only one of the following options: \"North\",
\"South\", \"East\", \"West\", \"North East\", \"North West\", \"South
East\", \"South West\""}, {"role":"system","content":"Do not provide any
information apart from the answer. Do not include punctuations in the
answer."}], "ideal": "South West"}
{"input": [{"role": "user", "content": "Two perpendicular paths
intersect at a cross. There is a banana peel along one path away from
the intersection. Drew is walking directly North along one path when he
sees the banana peel to his right. Frank sees Drew ahead of him as they
both move towards the intersection. When Frank takes a turn at the
intersection he avoids the banana peel by walking around it. In which
direction did Frank turn at the intersection? Please respond with only
one of the following options: \"North\", \"South\", \"East\", \"West\",
\"North East\", \"North West\", \"South East\", \"South West\""},
{"role":"system","content":"Do not provide any information apart from
the answer. Do not include punctuations in the answer."}], "ideal":
"East"}
{"input": [{"role": "user", "content": "Two perpendicular paths
intersect in a cross. Alan walks along one path while Gordon walks along
the other. Gordon is walking directly North. As they both move towards
the intersection, Gordon sees Alan to his left. What direction is Gordon
headed? Please respond with only one of the following options:
\"North\", \"South\", \"West\", \"East\", \"North West\", \"North
East\", \"South West\", \"South East\""}, {"role":"system","content":"Do
not provide any information apart from the answer. Do not include
punctuations in the answer."}], "ideal": "West"}
{"input": [{"role": "user", "content": "Two birds are flying in
perpendicular paths. One bird is flying Northward and the other
Eastward. As Will is walking a straight path, he sees both birds on his
right moving away from each other. Which direction is Will headed?
Please respond with only one of the following options: \"North\",
\"South\", \"East\", \"West\", \"North East\", \"North West\", \"South
East\", \"South West\""}, {"role":"system","content":"Do not provide any
information apart from the answer. Do not include punctuations in the
answer."}], "ideal": "North West"}
{"input": [{"role": "user", "content": "Two birds are flying in
perpendicular paths. One bird is flying Southward and the other
Westward. As Ryan is walking a straight path, he sees both birds on his
left moving away from each other. Which direction is Ryan headed? Please
respond with only one of the following options: \"North\", \"South\",
\"East\", \"West\", \"North East\", \"North West\", \"South East\",
\"South West\""}, {"role":"system","content":"Do not provide any
information apart from the answer. Do not include punctuations in the
answer."}], "ideal": "North West"}
{"input": [{"role": "user", "content": "I face a circular fountain in
such a way that a statue of Alan Turing at the center of the fountain
faces me. I walk straight towards the fountain until I reach its edge. I
then start walking counter-clockwise along the edge of the fountain.
After walking three-quarters of a circle around the fountain I start
walking a straight path. If Alan is facing North, which direction am I
headed? Please respond only with \"North\", \"South\", \"West\", or
\"East\""}, {"role":"system","content":"Do not provide any information
apart from the answer. Do not include punctuations in the answer."}],
"ideal": "North"}
{"input": [{"role": "user", "content": "I face a circular fountain in
such a way that a statue of Alan Turing at the center of the fountain
faces me. I walk straight towards the fountain until I reach its edge. I
then start walking counter-clockwise along the edge of the fountain.
After walking full circle around the fountain I start walking a straight
path. If Alan is facing East, which direction am I headed? Please
respond only with \"North\", \"South\", \"West\", or \"East\""},
{"role":"system","content":"Do not provide any information apart from
the answer. Do not include punctuations in the answer."}], "ideal":
"North"}
{"input": [{"role": "user", "content": "I face a circular fountain in
such a way that a statue of Alan Turing at the center of the fountain
faces me. I walk straight towards the fountain until I reach its edge. I
then start walking clockwise along the edge of the fountain. After
walking quarter circle around the fountain I start walking a straight
path. If Alan is facing South, which direction am I headed? Please
respond only with \"North\", \"South\", \"East\", or \"West\""},
{"role":"system","content":"Do not provide any information apart from
the answer. Do not include punctuations in the answer."}], "ideal":
"North"}
{"input": [{"role": "user", "content": "I face a circular fountain in
such a way that a statue of Alan Turing at the center of the fountain
faces me. I walk straight towards the fountain until I reach its edge. I
then start walking clockwise along the edge of the fountain. After
walking half circle around the fountain I start walking a straight path.
If Alan is facing West, which direction am I headed? Please respond only
with \"North\", \"South\", \"East\", or \"West\""},
{"role":"system","content":"Do not provide any information apart from
the answer. Do not include punctuations in the answer."}], "ideal":
"South"}
{"input": [{"role": "user", "content": "I am walking a straight path in
a courtyard as the sun is setting. I see a bird fly towards the sun. The
bird came from my right and our paths are perpendicular. Which direction
am I headed? Please respond only with \"South\". \"East\", \"North\" or
\"West\"."}, {"role":"system","content":"Do not provide any information
apart from the answer. Do not include punctuations in the answer."}],
"ideal": "North"}
{"input": [{"role": "user", "content": "I am walking a straight path in
a courtyard as the sun is setting. I see a bird fly away from the sun.
The bird came from my left and our paths are perpendicular. Which
direction am I headed? Please respond only with \"South\". \"East\",
\"North\" or \"West\"."}, {"role":"system","content":"Do not provide any
information apart from the answer. Do not include punctuations in the
answer."}], "ideal": "North"}
{"input": [{"role": "user", "content": "I am walking a straight path in
a courtyard as the sun is setting. I see a bird fly away from the sun.
The bird came from my right and our paths are perpendicular. Which
direction am I headed? Please respond only with \"South\". \"East\",
\"North\" or \"West\"."}, {"role":"system","content":"Do not provide any
information apart from the answer. Do not include punctuations in the
answer."}], "ideal": "South"}
{"input": [{"role": "user", "content": "I am walking a straight path in
a courtyard as the sun is setting. I see a bird fly towards the sun. The
bird came from my left and our paths are perpendicular. Which direction
am I headed? Please respond only with \"South\". \"East\", \"North\" or
\"West\"."}, {"role":"system", "content":"Do not provide any information
apart from the answer. Do not include punctuations in the answer."}],
"ideal": "South"}
  ```
</details>
jacobbieker pushed a commit to withmartian/-ARCHIVED--router-evals that referenced this pull request Jan 9, 2024
# Thank you for contributing an eval! ♥️

🚨 Please make sure your PR follows these guidelines, **failure to follow
the guidelines below will result in the PR being closed automatically**.
Note that even if the criteria are met, that does not guarantee the PR
will be merged nor GPT-4 access be granted. 🚨

**PLEASE READ THIS**:

In order for a PR to be merged, it must fail on GPT-4. We are aware that
right now, users do not have access, so you will not be able to tell if
the eval fails or not. Please run your eval with GPT-3.5-Turbo, but keep
in mind as we run the eval, if GPT-4 gets higher than 90% on the eval,
we will likely reject it since GPT-4 is already capable of completing
the task.

We plan to roll out a way for users submitting evals to see the eval
performance on GPT-4 soon. Stay tuned! Until then, you will not be able
to see the eval performance on GPT-4. **Starting April 10, the minimum
eval count is 15 samples, we hope this makes it easier to create and
contribute evals.**

Also, please note that we're using **Git LFS** for storing the JSON
files, so please make sure that you move the JSON file to Git LFS before
submitting a PR. Details on how to use Git LFS are available
[here](https://git-lfs.com).

## Eval details 📑

### Eval name

3D Globe Movement

### Eval description
This eval tests an LLMs ability to understand 3D movement through space,
in particular movement on or through planet Earth. Each example provides
a starting point and a path consisting of one or two movements, and the
expected answer is a state/province or ocean.

Similar to the evals from openai#462 and
openai#1060, this eval shows how difficult
movement is for LLMs to understand, and builds upon those by showing how
the problem is seemingly magnified by 3D movement and/or by requesting a
region as answer rather than numerical positions.

Testing on gpt-3.5-turbo, accuracy ranges from ~0.24 to ~0.31 

### What makes this a useful eval?
This eval demonstrates that a long series of steps is not necessary in
order to create a path that GPT is unable to follow, and that a simple
trip to the planet's core and back again, with a slight offset in any
direction, will often get it lost.

Whereas it can often handle "travel 15 degrees East", hiding that actual
travel behind a 2-step 3D path significantly hurts the model's
performance.

Interestingly, this eval seems to demonstrate the statistical rather
than reasoning nature of GPT, as regardless of starting point or path,
it shows a bias towards answering with oceans, especially the Pacific
Ocean.

## Criteria for a good eval ✅

Below are some of the criteria we look for in a good eval. In general,
we are seeking cases where the model does not do a good job despite
being capable of generating a good response (note that there are some
things large language models cannot do, so those would not make good
evals).

Your eval should be:

- [x] Thematically consistent: The eval should be thematically
consistent. We'd like to see a number of prompts all demonstrating some
particular failure mode. For example, we can create an eval on cases
where the model fails to reason about the physical world.
- [x] Contains failures where a human can do the task, but either GPT-4
or GPT-3.5-Turbo could not.
- [x] Includes good signal around what is the right behavior. This means
either a correct answer for `Basic` evals or the `Fact` Model-graded
eval, or an exhaustive rubric for evaluating answers for the `Criteria`
Model-graded eval.
- [x] **Include at least 15 high-quality examples.**

If there is anything else that makes your eval worth including, please
document it below.

### Unique eval value

> Insert what makes your eval high quality that was not mentioned above.
(Not required)

## Eval structure 🏗️

Your eval should

- [x] Check that your data is in `evals/registry/data/{name}`
- [x] Check that your YAML is registered at
`evals/registry/evals/{name}.yaml`
- [x] Ensure you have the right to use the data you submit via this eval

(For now, we will only be approving evals that use one of the existing
eval classes. You may still write custom eval classes for your own
cases, and we may consider merging them in the future.)

## Final checklist 👀

### Submission agreement

By contributing to Evals, you are agreeing to make your evaluation logic
and data under the same MIT license as this repository. You must have
adequate rights to upload any data used in an Eval. OpenAI reserves the
right to use this data in future service improvements to our product.
Contributions to OpenAI Evals will be subject to our usual Usage
Policies (<https://platform.openai.com/docs/usage-policies>).

- [x] I agree that my submission will be made available under an MIT
license and complies with OpenAI's usage policies.

### Email address validation

If your submission is accepted, we will be granting GPT-4 access to a
limited number of contributors. Access will be given to the email
address associated with the merged pull request.

- [x] I acknowledge that GPT-4 access will only be granted, if
applicable, to the email address used for my merged pull request.

### Limited availability acknowledgment

We know that you might be excited to contribute to OpenAI's mission,
help improve our models, and gain access to GPT-4. However, due to the
requirements mentioned above and the high volume of submissions, we will
not be able to accept all submissions and thus not grant everyone who
opens a PR GPT-4 access. We know this is disappointing, but we hope to
set the right expectation before you open this PR.

- [x] I understand that opening a PR, even if it meets the requirements
above, does not guarantee the PR will be merged nor GPT-4 access be
granted.

### Submit eval

- [x] I have filled out all required fields of this form
- [x] I have used **Git LFS** for the Eval JSON data
- [x] (Ignore if not submitting code) I have run `pip install
pre-commit; pre-commit install` and have verified that `black`, `isort`,
and `autoflake` are running when I commit and push

Failure to fill out all required fields will result in the PR being
closed.

### Eval JSON data

Since we are using Git LFS, we are asking eval submitters to add in as
many Eval Samples (at least 5) from their contribution here:

<details>
  <summary>View evals in JSON</summary>

  ### Eval
  ```jsonl
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of San Francisco and travel directly
downwards to the center of the Earth, then straight up, back to the
surface, at a 15 degree offset to the East"}], "ideal": "Colorado"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of San Francisco and travel due East 15
degrees"}], "ideal": "Colorado"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of San Francisco and travel due East 0.1
degrees"}], "ideal": "California"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of San Francisco and travel due East 1
meter"}], "ideal": "California"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of San Francisco and travel 0 meter"}],
"ideal": "California"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of San Francisco and make one complete
revolution around the planet"}], "ideal": "California"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of San Francisco and travel directly
downwards to the center of the Earth, then straight up, back to the
surface, at a 1 degree offset to the East"}], "ideal": "California"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of San Francisco and travel directly
downwards to the center of the Earth, then straight up, back to the
surface, at a 0.1 degree offset to the East"}], "ideal": "California"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of San Francisco and travel directly
downwards to the center of the Earth, then straight up, back to the
surface, at a 0.01 degree offset to the East"}], "ideal": "California"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of San Francisco and travel directly
downwards to the center of the Earth, then straight up, back to the
surface, at a 1 degree offset to the West"}], "ideal": "Pacific Ocean"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of San Francisco and travel directly
downwards to the center of the Earth, then straight up, back to the
surface, at a 90 degree offset to the East"}], "ideal": "Atlantic
Ocean"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of San Francisco and travel directly
downwards to the center of the Earth, then straight up, back to the
surface, at a 180 degree offset to the East"}], "ideal": "Ahal"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of San Francisco and travel directly
downwards to the center of the Earth, then straight up, back to the
surface, at a 1 degree offset to the North"}], "ideal": "California"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of Kansas City and travel directly
downwards to the center of the Earth, then straight up, back to the
surface, at a 15 degree offset to the East"}], "ideal": "West Virginia"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of Kansas City and travel directly
downwards to the center of the Earth, then straight up, back to the
surface, at a 15 degree offset to the West"}], "ideal": "Utah"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of New York City and travel directly
downwards to the center of the Earth, then straight up, back to the
surface, at a 1 degree offset to the East"}], "ideal": "Atlantic Ocean"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of New York City and travel due East 10
degrees"}], "ideal": "Atlantic Ocean"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of New York City and travel due East 500
kilometers"}], "ideal": "Atlantic Ocean"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of New York City and travel directly
downwards to the center of the Earth, then straight up, back to the
surface, at a 1 degree offset to the West"}], "ideal": "New Jersey"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of New York City and travel directly
downwards to the center of the Earth, then straight up, back to the
surface, at a 10 degree offset to the West"}], "ideal": "Ohio"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of New York City and travel due West 10
degrees"}], "ideal": "Ohio"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of New York City and travel due West 15
degrees"}], "ideal": "Illinois"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of New York City and travel due West 25
degrees"}], "ideal": "Nebraska"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of New York City and travel due West 30
degrees"}], "ideal": "Colorado"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of New York City and travel due West 35
degrees"}], "ideal": "Colorado"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of Oklahoma City and travel directly
downwards to the center of the Earth, then straight up, back to the
surface, at a 0.1 degree offset to the East"}], "ideal": "Oklahoma"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of Oklahoma City and travel directly
downwards to the center of the Earth, then straight up, back to the
surface along the same path that was traveled downards."}], "ideal":
"Oklahoma"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of Oklahoma City and travel directly
downwards to the center of the Earth, then continue onwards to the other
side of the planet"}], "ideal": "Xinjiang"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of Oklahoma City and travel directly
downwards through to the other side of the Earth"}], "ideal":
"Xinjiang"}

  ```
</details>
Linmj-Judy pushed a commit to TablewareBox/evals that referenced this pull request Feb 27, 2024
# Thank you for contributing an eval! ♥️

🚨 Please make sure your PR follows these guidelines, __failure to follow
the guidelines below will result in the PR being closed automatically__.
Note that even if the criteria are met, that does not guarantee the PR
will be merged nor GPT-4 access granted. 🚨

__PLEASE READ THIS__:

In order for a PR to be merged, it must fail on GPT-4. We are aware that
right now, users do not have access, so you will not be able to tell if
the eval fails or not. Please run your eval with GPT-3.5-Turbo, but keep
in mind as we run the eval, if GPT-4 gets higher than 90% on the eval,
we will likely reject since GPT-4 is already capable of completing the
task.

We plan to roll out a way for users submitting evals to see the eval
performance on GPT-4 soon. Stay tuned! Until then, you will not be able
to see the eval performance on GPT-4. **Starting April 10, the minimum
eval count is 15 samples, we hope this makes it easier to create and
contribute evals.**

Also, pelase note that we're using **Git LFS** for storing the JSON
files, so please make sure that you move the JSON file to Git LFS before
submitting a PR. Details on how to use Git LFS are available
[here](https://git-lfs.com).

## Eval details 📑
### Eval name
Cardinal Directions

### Eval description

This eval tests the model's ability to make an internal representation
of relative positions and reason about cardinal directions. It's a
refinement of my previously submitted PR Relative Orientations (openai#1000 ),
containing a handful of selected problems which make a more thematically
consistent set of samples. Adjustments were made to improve the clarity,
quality, as well as the diversity of parameters in the selected prompts
for a more comprehensive assessment of problem-solving ability.

### What makes this a useful eval?

It helps test the model's spatial reasoning ability

## Criteria for a good eval ✅

Below are some of the criteria we look for in a good eval. In general,
we are seeking cases where the model does not do a good job despite
being capable of generating a good response (note that there are some
things large language models cannot do, so those would not make good
evals).

Your eval should be:

- [x] Thematically consistent: The eval should be thematically
consistent. We'd like to see a number of prompts all demonstrating some
particular failure mode. For example, we can create an eval on cases
where the model fails to reason about the physical world.
- [x] Contains failures where a human can do the task, but either GPT-4
or GPT-3.5-Turbo could not.
- [x] Includes good signal around what is the right behavior. This means
either a correct answer for `Basic` evals or the `Fact` Model-graded
eval, or an exhaustive rubric for evaluating answers for the `Criteria`
Model-graded eval.
- [x] **Include at least 15 high quality examples.**

If there is anything else that makes your eval worth including, please
document it below.

### Unique eval value

> Insert what makes your eval high quality that was not mentioned above.
(Not required)

## Eval structure 🏗️

Your eval should
- [x] Check that your data is in `evals/registry/data/{name}`
- [x] Check that your yaml is registered at
`evals/registry/evals/{name}.yaml`
- [x] Ensure you have the right to use the data you submit via this eval

(For now, we will only be approving evals that use one of the existing
eval classes. You may still write custom eval classes for your own
cases, and we may consider merging them in the future.)

## Final checklist 👀

### Submission agreement

By contributing to Evals, you are agreeing to make your evaluation logic
and data under the same MIT license as this repository. You must have
adequate rights to upload any data used in an Eval. OpenAI reserves the
right to use this data in future service improvements to our product.
Contributions to OpenAI Evals will be subject to our usual Usage
Policies (https://platform.openai.com/docs/usage-policies).

- [x] I agree that my submission will be made available under an MIT
license and complies with OpenAI's usage policies.

### Email address validation

If your submission is accepted, we will be granting GPT-4 access to a
limited number of contributors. Access will be given to the email
address associated with the merged pull request.

- [x] I acknowledge that GPT-4 access will only be granted, if
applicable, to the email address used for my merged pull request.

### Limited availability acknowledgement

We know that you might be excited to contribute to OpenAI's mission,
help improve our models, and gain access to GPT-4. However, due to the
requirements mentioned above and high volume of submissions, we will not
be able to accept all submissions and thus not grant everyone who opens
a PR GPT-4 access. We know this is disappointing, but we hope to set the
right expectation before you open this PR.

- [x] I understand that opening a PR, even if it meets the requirements
above, does not guarantee the PR will be merged nor GPT-4 access
granted.

### Submit eval

- [x] I have filled out all required fields of this form
- [x] I have used **Git LFS** for the Eval JSON data
- [ ] (Ignore if not submitting code) I have run `pip install
pre-commit; pre-commit install` and have verified that `black`, `isort`,
and `autoflake` are running when I commit and push

Failure to fill out all required fields will result in the PR being
closed.

### Eval JSON data 

Since we are using Git LFS, we are asking eval submitters to add in as
many Eval Samples (at least 5) from their contribution here:

<details>
  <summary>View evals in JSON</summary>

  ### Eval
  ```jsonl
{"input": [{"role": "user", "content": "Chloe, Kate, Drew, and Mikey are
gathered in a circle. Drew is opposite Chloe and Kate sees Chloe to her
left. At the center is a bottle which points towards Mikey. When Chloe
spins the bottle, it rotates two and three-quarters of a full circle.
Who is the person opposite the direction the bottle is pointing? Please
respond with only one of the following options: \"Chloe\", \"Mikey\",
\"Drew\", \"Kate\""}, {"role":"system","content":"Do not provide any
information apart from the answer. Do not include punctuations in the
answer."}], "ideal": "Drew"}
{"input": [{"role": "user", "content": "Daniel, Emily, Richard, and Max
are gathered in a circle. Richard is opposite Daniel and Emily sees
Daniel to her left. If Daniel points towards Max he points North West.
If Emily points towards Richard what direction does she point? Please
respond with only one of the following options: \"North\", \"South\",
\"East\", \"West\", \"North East\", \"North West\", \"South East\",
\"South West\""}, {"role":"system","content":"Do not provide any
information apart from the answer. Do not include punctuations in the
answer."}], "ideal": "North West"}
{"input": [{"role": "user", "content": "Leonard, Marie, Carl, and Martin
are gathered in a circle. Carl is opposite Leonard and Marie sees
Leonard to her right. If Carl points towards Leonard, he points directly
North. If Leonard points towards Martin, in what direction does he
point? Please respond with only one of the following options: \"North\",
\"South\", \"East\", \"West\", \"North East\", \"North West\", \"South
East\", \"South West\""}, {"role":"system","content":"Do not provide any
information apart from the answer. Do not include punctuations in the
answer."}], "ideal": "South West"}
{"input": [{"role": "user", "content": "Two perpendicular paths
intersect at a cross. There is a banana peel along one path away from
the intersection. Drew is walking directly North along one path when he
sees the banana peel to his right. Frank sees Drew ahead of him as they
both move towards the intersection. When Frank takes a turn at the
intersection he avoids the banana peel by walking around it. In which
direction did Frank turn at the intersection? Please respond with only
one of the following options: \"North\", \"South\", \"East\", \"West\",
\"North East\", \"North West\", \"South East\", \"South West\""},
{"role":"system","content":"Do not provide any information apart from
the answer. Do not include punctuations in the answer."}], "ideal":
"East"}
{"input": [{"role": "user", "content": "Two perpendicular paths
intersect in a cross. Alan walks along one path while Gordon walks along
the other. Gordon is walking directly North. As they both move towards
the intersection, Gordon sees Alan to his left. What direction is Gordon
headed? Please respond with only one of the following options:
\"North\", \"South\", \"West\", \"East\", \"North West\", \"North
East\", \"South West\", \"South East\""}, {"role":"system","content":"Do
not provide any information apart from the answer. Do not include
punctuations in the answer."}], "ideal": "West"}
{"input": [{"role": "user", "content": "Two birds are flying in
perpendicular paths. One bird is flying Northward and the other
Eastward. As Will is walking a straight path, he sees both birds on his
right moving away from each other. Which direction is Will headed?
Please respond with only one of the following options: \"North\",
\"South\", \"East\", \"West\", \"North East\", \"North West\", \"South
East\", \"South West\""}, {"role":"system","content":"Do not provide any
information apart from the answer. Do not include punctuations in the
answer."}], "ideal": "North West"}
{"input": [{"role": "user", "content": "Two birds are flying in
perpendicular paths. One bird is flying Southward and the other
Westward. As Ryan is walking a straight path, he sees both birds on his
left moving away from each other. Which direction is Ryan headed? Please
respond with only one of the following options: \"North\", \"South\",
\"East\", \"West\", \"North East\", \"North West\", \"South East\",
\"South West\""}, {"role":"system","content":"Do not provide any
information apart from the answer. Do not include punctuations in the
answer."}], "ideal": "North West"}
{"input": [{"role": "user", "content": "I face a circular fountain in
such a way that a statue of Alan Turing at the center of the fountain
faces me. I walk straight towards the fountain until I reach its edge. I
then start walking counter-clockwise along the edge of the fountain.
After walking three-quarters of a circle around the fountain I start
walking a straight path. If Alan is facing North, which direction am I
headed? Please respond only with \"North\", \"South\", \"West\", or
\"East\""}, {"role":"system","content":"Do not provide any information
apart from the answer. Do not include punctuations in the answer."}],
"ideal": "North"}
{"input": [{"role": "user", "content": "I face a circular fountain in
such a way that a statue of Alan Turing at the center of the fountain
faces me. I walk straight towards the fountain until I reach its edge. I
then start walking counter-clockwise along the edge of the fountain.
After walking full circle around the fountain I start walking a straight
path. If Alan is facing East, which direction am I headed? Please
respond only with \"North\", \"South\", \"West\", or \"East\""},
{"role":"system","content":"Do not provide any information apart from
the answer. Do not include punctuations in the answer."}], "ideal":
"North"}
{"input": [{"role": "user", "content": "I face a circular fountain in
such a way that a statue of Alan Turing at the center of the fountain
faces me. I walk straight towards the fountain until I reach its edge. I
then start walking clockwise along the edge of the fountain. After
walking quarter circle around the fountain I start walking a straight
path. If Alan is facing South, which direction am I headed? Please
respond only with \"North\", \"South\", \"East\", or \"West\""},
{"role":"system","content":"Do not provide any information apart from
the answer. Do not include punctuations in the answer."}], "ideal":
"North"}
{"input": [{"role": "user", "content": "I face a circular fountain in
such a way that a statue of Alan Turing at the center of the fountain
faces me. I walk straight towards the fountain until I reach its edge. I
then start walking clockwise along the edge of the fountain. After
walking half circle around the fountain I start walking a straight path.
If Alan is facing West, which direction am I headed? Please respond only
with \"North\", \"South\", \"East\", or \"West\""},
{"role":"system","content":"Do not provide any information apart from
the answer. Do not include punctuations in the answer."}], "ideal":
"South"}
{"input": [{"role": "user", "content": "I am walking a straight path in
a courtyard as the sun is setting. I see a bird fly towards the sun. The
bird came from my right and our paths are perpendicular. Which direction
am I headed? Please respond only with \"South\". \"East\", \"North\" or
\"West\"."}, {"role":"system","content":"Do not provide any information
apart from the answer. Do not include punctuations in the answer."}],
"ideal": "North"}
{"input": [{"role": "user", "content": "I am walking a straight path in
a courtyard as the sun is setting. I see a bird fly away from the sun.
The bird came from my left and our paths are perpendicular. Which
direction am I headed? Please respond only with \"South\". \"East\",
\"North\" or \"West\"."}, {"role":"system","content":"Do not provide any
information apart from the answer. Do not include punctuations in the
answer."}], "ideal": "North"}
{"input": [{"role": "user", "content": "I am walking a straight path in
a courtyard as the sun is setting. I see a bird fly away from the sun.
The bird came from my right and our paths are perpendicular. Which
direction am I headed? Please respond only with \"South\". \"East\",
\"North\" or \"West\"."}, {"role":"system","content":"Do not provide any
information apart from the answer. Do not include punctuations in the
answer."}], "ideal": "South"}
{"input": [{"role": "user", "content": "I am walking a straight path in
a courtyard as the sun is setting. I see a bird fly towards the sun. The
bird came from my left and our paths are perpendicular. Which direction
am I headed? Please respond only with \"South\". \"East\", \"North\" or
\"West\"."}, {"role":"system", "content":"Do not provide any information
apart from the answer. Do not include punctuations in the answer."}],
"ideal": "South"}
  ```
</details>
Linmj-Judy pushed a commit to TablewareBox/evals that referenced this pull request Feb 27, 2024
# Thank you for contributing an eval! ♥️

🚨 Please make sure your PR follows these guidelines, **failure to follow
the guidelines below will result in the PR being closed automatically**.
Note that even if the criteria are met, that does not guarantee the PR
will be merged nor GPT-4 access be granted. 🚨

**PLEASE READ THIS**:

In order for a PR to be merged, it must fail on GPT-4. We are aware that
right now, users do not have access, so you will not be able to tell if
the eval fails or not. Please run your eval with GPT-3.5-Turbo, but keep
in mind as we run the eval, if GPT-4 gets higher than 90% on the eval,
we will likely reject it since GPT-4 is already capable of completing
the task.

We plan to roll out a way for users submitting evals to see the eval
performance on GPT-4 soon. Stay tuned! Until then, you will not be able
to see the eval performance on GPT-4. **Starting April 10, the minimum
eval count is 15 samples, we hope this makes it easier to create and
contribute evals.**

Also, please note that we're using **Git LFS** for storing the JSON
files, so please make sure that you move the JSON file to Git LFS before
submitting a PR. Details on how to use Git LFS are available
[here](https://git-lfs.com).

## Eval details 📑

### Eval name

3D Globe Movement

### Eval description
This eval tests an LLMs ability to understand 3D movement through space,
in particular movement on or through planet Earth. Each example provides
a starting point and a path consisting of one or two movements, and the
expected answer is a state/province or ocean.

Similar to the evals from openai#462 and
openai#1060, this eval shows how difficult
movement is for LLMs to understand, and builds upon those by showing how
the problem is seemingly magnified by 3D movement and/or by requesting a
region as answer rather than numerical positions.

Testing on gpt-3.5-turbo, accuracy ranges from ~0.24 to ~0.31 

### What makes this a useful eval?
This eval demonstrates that a long series of steps is not necessary in
order to create a path that GPT is unable to follow, and that a simple
trip to the planet's core and back again, with a slight offset in any
direction, will often get it lost.

Whereas it can often handle "travel 15 degrees East", hiding that actual
travel behind a 2-step 3D path significantly hurts the model's
performance.

Interestingly, this eval seems to demonstrate the statistical rather
than reasoning nature of GPT, as regardless of starting point or path,
it shows a bias towards answering with oceans, especially the Pacific
Ocean.

## Criteria for a good eval ✅

Below are some of the criteria we look for in a good eval. In general,
we are seeking cases where the model does not do a good job despite
being capable of generating a good response (note that there are some
things large language models cannot do, so those would not make good
evals).

Your eval should be:

- [x] Thematically consistent: The eval should be thematically
consistent. We'd like to see a number of prompts all demonstrating some
particular failure mode. For example, we can create an eval on cases
where the model fails to reason about the physical world.
- [x] Contains failures where a human can do the task, but either GPT-4
or GPT-3.5-Turbo could not.
- [x] Includes good signal around what is the right behavior. This means
either a correct answer for `Basic` evals or the `Fact` Model-graded
eval, or an exhaustive rubric for evaluating answers for the `Criteria`
Model-graded eval.
- [x] **Include at least 15 high-quality examples.**

If there is anything else that makes your eval worth including, please
document it below.

### Unique eval value

> Insert what makes your eval high quality that was not mentioned above.
(Not required)

## Eval structure 🏗️

Your eval should

- [x] Check that your data is in `evals/registry/data/{name}`
- [x] Check that your YAML is registered at
`evals/registry/evals/{name}.yaml`
- [x] Ensure you have the right to use the data you submit via this eval

(For now, we will only be approving evals that use one of the existing
eval classes. You may still write custom eval classes for your own
cases, and we may consider merging them in the future.)

## Final checklist 👀

### Submission agreement

By contributing to Evals, you are agreeing to make your evaluation logic
and data under the same MIT license as this repository. You must have
adequate rights to upload any data used in an Eval. OpenAI reserves the
right to use this data in future service improvements to our product.
Contributions to OpenAI Evals will be subject to our usual Usage
Policies (<https://platform.openai.com/docs/usage-policies>).

- [x] I agree that my submission will be made available under an MIT
license and complies with OpenAI's usage policies.

### Email address validation

If your submission is accepted, we will be granting GPT-4 access to a
limited number of contributors. Access will be given to the email
address associated with the merged pull request.

- [x] I acknowledge that GPT-4 access will only be granted, if
applicable, to the email address used for my merged pull request.

### Limited availability acknowledgment

We know that you might be excited to contribute to OpenAI's mission,
help improve our models, and gain access to GPT-4. However, due to the
requirements mentioned above and the high volume of submissions, we will
not be able to accept all submissions and thus not grant everyone who
opens a PR GPT-4 access. We know this is disappointing, but we hope to
set the right expectation before you open this PR.

- [x] I understand that opening a PR, even if it meets the requirements
above, does not guarantee the PR will be merged nor GPT-4 access be
granted.

### Submit eval

- [x] I have filled out all required fields of this form
- [x] I have used **Git LFS** for the Eval JSON data
- [x] (Ignore if not submitting code) I have run `pip install
pre-commit; pre-commit install` and have verified that `black`, `isort`,
and `autoflake` are running when I commit and push

Failure to fill out all required fields will result in the PR being
closed.

### Eval JSON data

Since we are using Git LFS, we are asking eval submitters to add in as
many Eval Samples (at least 5) from their contribution here:

<details>
  <summary>View evals in JSON</summary>

  ### Eval
  ```jsonl
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of San Francisco and travel directly
downwards to the center of the Earth, then straight up, back to the
surface, at a 15 degree offset to the East"}], "ideal": "Colorado"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of San Francisco and travel due East 15
degrees"}], "ideal": "Colorado"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of San Francisco and travel due East 0.1
degrees"}], "ideal": "California"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of San Francisco and travel due East 1
meter"}], "ideal": "California"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of San Francisco and travel 0 meter"}],
"ideal": "California"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of San Francisco and make one complete
revolution around the planet"}], "ideal": "California"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of San Francisco and travel directly
downwards to the center of the Earth, then straight up, back to the
surface, at a 1 degree offset to the East"}], "ideal": "California"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of San Francisco and travel directly
downwards to the center of the Earth, then straight up, back to the
surface, at a 0.1 degree offset to the East"}], "ideal": "California"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of San Francisco and travel directly
downwards to the center of the Earth, then straight up, back to the
surface, at a 0.01 degree offset to the East"}], "ideal": "California"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of San Francisco and travel directly
downwards to the center of the Earth, then straight up, back to the
surface, at a 1 degree offset to the West"}], "ideal": "Pacific Ocean"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of San Francisco and travel directly
downwards to the center of the Earth, then straight up, back to the
surface, at a 90 degree offset to the East"}], "ideal": "Atlantic
Ocean"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of San Francisco and travel directly
downwards to the center of the Earth, then straight up, back to the
surface, at a 180 degree offset to the East"}], "ideal": "Ahal"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of San Francisco and travel directly
downwards to the center of the Earth, then straight up, back to the
surface, at a 1 degree offset to the North"}], "ideal": "California"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of Kansas City and travel directly
downwards to the center of the Earth, then straight up, back to the
surface, at a 15 degree offset to the East"}], "ideal": "West Virginia"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of Kansas City and travel directly
downwards to the center of the Earth, then straight up, back to the
surface, at a 15 degree offset to the West"}], "ideal": "Utah"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of New York City and travel directly
downwards to the center of the Earth, then straight up, back to the
surface, at a 1 degree offset to the East"}], "ideal": "Atlantic Ocean"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of New York City and travel due East 10
degrees"}], "ideal": "Atlantic Ocean"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of New York City and travel due East 500
kilometers"}], "ideal": "Atlantic Ocean"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of New York City and travel directly
downwards to the center of the Earth, then straight up, back to the
surface, at a 1 degree offset to the West"}], "ideal": "New Jersey"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of New York City and travel directly
downwards to the center of the Earth, then straight up, back to the
surface, at a 10 degree offset to the West"}], "ideal": "Ohio"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of New York City and travel due West 10
degrees"}], "ideal": "Ohio"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of New York City and travel due West 15
degrees"}], "ideal": "Illinois"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of New York City and travel due West 25
degrees"}], "ideal": "Nebraska"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of New York City and travel due West 30
degrees"}], "ideal": "Colorado"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of New York City and travel due West 35
degrees"}], "ideal": "Colorado"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of Oklahoma City and travel directly
downwards to the center of the Earth, then straight up, back to the
surface, at a 0.1 degree offset to the East"}], "ideal": "Oklahoma"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of Oklahoma City and travel directly
downwards to the center of the Earth, then straight up, back to the
surface along the same path that was traveled downards."}], "ideal":
"Oklahoma"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of Oklahoma City and travel directly
downwards to the center of the Earth, then continue onwards to the other
side of the planet"}], "ideal": "Xinjiang"}
{"input": [{"role": "system", "content": "Pretend you are 3DPathGPT, a
model that can accurately track 3D paths on, around, and through planet
Earth based on plain language descriptions. For each path, determine the
state, province, or ocean of the final destination. You may assume the
object traveling the path encounters no resistance, such as if it were a
neutrino. Try reasoning through the 3D path one step at a time, and at
the end, provide the final answer enclosed in square brackets like
[Europe]. Start at the center of Oklahoma City and travel directly
downwards through to the other side of the Earth"}], "ideal":
"Xinjiang"}

  ```
</details>
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3 participants