Add Sindarin Fluency eval (#1116)

# Thank you for contributing an eval! ♥️

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Note that even if the criteria are met, that does not guarantee the PR
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**PLEASE READ THIS**:

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## Eval details 📑

### Eval name

Sindarin Fluency (Nouns)

### Eval description

This eval tests the GPT model's ability to translate Sindarin (from the
Tolkien works) to English. Sindarin was created in 1915, and was
expanded upon until 1973, being heavily inspired by Literary Welsh. As
of today, hundreds of poems and texts have been written in Sindarin, and
a major effort is made by several publishers to kept to preserve the
language. The eval uses a collection of 150 commonly used nouns.

### What makes this a useful eval?

This eval provides an opportunity to understand how well GPT models can
understand the fictional language, and improve upon their overall
understanding in translating it to English.

## 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

> This eval will help preserve the historic fictional language, by
making it possible to improve upon retaining knowledge of Sindarin, and
potentially other languages used in fictional works.

## 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.)

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### Submission agreement

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and data under the same MIT license as this repository. You must have
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right to use this data in future service improvements to our product.
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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.

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### 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": "Translate a word from the
Sindarin language (from Tolkien's works) to English. Respond only with
the translated word or phrase, or 'none' if there is no translation."},
{"role": "user", "content": "ablad"}], "ideal": ["prohibition",
"refusal"]}
{"input": [{"role": "system", "content": "Translate a word from the
Sindarin language (from Tolkien's works) to English. Respond only with
the translated word or phrase, or 'none' if there is no translation."},
{"role": "user", "content": "achad"}], "ideal": ["rock ridge", "neck"]}
{"input": [{"role": "system", "content": "Translate a word from the
Sindarin language (from Tolkien's works) to English. Respond only with
the translated word or phrase, or 'none' if there is no translation."},
{"role": "user", "content": "Adan"}], "ideal": ["man"]}
{"input": [{"role": "system", "content": "Translate a word from the
Sindarin language (from Tolkien's works) to English. Respond only with
the translated word or phrase, or 'none' if there is no translation."},
{"role": "user", "content": "adar"}], "ideal": ["father"]}
{"input": [{"role": "system", "content": "Translate a word from the
Sindarin language (from Tolkien's works) to English. Respond only with
the translated word or phrase, or 'none' if there is no translation."},
{"role": "user", "content": "aduial"}], "ideal": ["twilight"]}
  ```
</details>

Author: aaronsmithtv

evals/registry/data/sindarin_fluency/sindarin_nouns.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1511df3846e871f222e7d7f00f23f2c454c1a055029203d8feaa05998486ee23
+size 41437

evals/registry/evals/sindarin-fluency.yaml

@@ -0,0 +1,8 @@
+sindarin-fluency:
+  id: sindarin-fluency.dev.v0
+  description: Tests the model's ability to accurately translate Sindarin to English.
+  metrics: [accuracy]
+sindarin-fluency.dev.v0:
+  class: evals.elsuite.basic.includes:Includes
+  args:
+    samples_jsonl: sindarin_fluency/sindarin_nouns.jsonl