Add Belarusian lexicon eval (#372)

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🚨 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. We encourage partial PR's with
~5-10 example that we can then run the evals on and share the results
with you so you know how your eval does with GPT-4 before writing all
100 examples.

## Eval details 📑
### Eval name

belarusian-lexicon

### Eval description

Test the model's ability to distinguish between existing and
hallucinated Belarusian words.

### What makes this a useful eval?

While the multilingual capability of recent GPT models is impressive,
there is still room for improvement. Many human languages are lagging
far behind English in terms of the model's ability to answer questions
and produce coherent texts in these languages, and the model's
"knowledge" of their lexicon and grammar is, to some extent,
hallucinated. One example is Belarusian, an East Slavic language spoken
by several million people. In my experience with ChatGPT, when the model
is prompted in Belarusian, its responses are sometimes ungrammatical or
semantically incoherent, and very often they contain made-up words – a
possible sign of overgeneralization based on Russian and Ukrainian data,
which are much more
[abundant](https://commoncrawl.github.io/cc-crawl-statistics/plots/languages)
on the web than Belarusian.

This eval contains 150 pairs of single-word prompts: one item in each
pair is a non-word hallucinated by ChatGPT (either totally meaningless
in Belarusian or violating the language's orthographic and phonetic
rules), and another item is an actual Belarusian word with similar
spelling. The model's task is to distinguish between words and
non-words. ChatGPT tends to label most items as existing words,
therefore its accuracy appears to be around 50%, and the negative-class
F measure is very low. Any competent speaker of Belarusian would perform
much better, and a language-specific tool, such as [this spell
checker](https://corpus.by/SpellChecker) or [this grammatical
database](https://bnkorpus.info/grammar.en.html) of Belarusian (also
available for
[download](https://github.com/Belarus/GrammarDB/releases)), would
flawlessly identify non-words.

## 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 100 high quality examples (it is okay to only
contribute 5-10 meaningful examples and have us test them with GPT-4
before adding all 100)

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

### Unique eval value

This eval an attempt to point out specific deficiencies in the model's
ability to handle a lower-resource language (Belarusian). As such, it
might not only benchmark future refinements of Belarusian language
capability in the GPT models, but also serve as an instructuve example
for other language communities.

## 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 in the evals PR form
- [ ] (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": "You will be prompted with a
single word. Does this word exist in Belarusian language? Answer Y or
N."}, {"role": "user", "content": "абвязкою"}], "ideal": "N"}
{"input": [{"role": "system", "content": "You will be prompted with a
single word. Does this word exist in Belarusian language? Answer Y or
N."}, {"role": "user", "content": "абвязкаю"}], "ideal": "Y"}
{"input": [{"role": "system", "content": "You will be prompted with a
single word. Does this word exist in Belarusian language? Answer Y or
N."}, {"role": "user", "content": "абласці"}], "ideal": "N"}
{"input": [{"role": "system", "content": "You will be prompted with a
single word. Does this word exist in Belarusian language? Answer Y or
N."}, {"role": "user", "content": "вобласці"}], "ideal": "Y"}
{"input": [{"role": "system", "content": "You will be prompted with a
single word. Does this word exist in Belarusian language? Answer Y or
N."}, {"role": "user", "content": "абмяну"}], "ideal": "N"}
{"input": [{"role": "system", "content": "You will be prompted with a
single word. Does this word exist in Belarusian language? Answer Y or
N."}, {"role": "user", "content": "абмену"}], "ideal": "Y"}
{"input": [{"role": "system", "content": "You will be prompted with a
single word. Does this word exist in Belarusian language? Answer Y or
N."}, {"role": "user", "content": "абоўязак"}], "ideal": "N"}
{"input": [{"role": "system", "content": "You will be prompted with a
single word. Does this word exist in Belarusian language? Answer Y or
N."}, {"role": "user", "content": "абавязак"}], "ideal": "Y"}
{"input": [{"role": "system", "content": "You will be prompted with a
single word. Does this word exist in Belarusian language? Answer Y or
N."}, {"role": "user", "content": "аднасінькіх"}], "ideal": "N"}
{"input": [{"role": "system", "content": "You will be prompted with a
single word. Does this word exist in Belarusian language? Answer Y or
N."}, {"role": "user", "content": "аднюсенькіх"}], "ideal": "Y"}
  ```
</details>

evals/registry/evals/belarusian-lexicon.yaml

@@ -0,0 +1,9 @@
+belarusian-lexicon:
+  id: belarusian-lexicon.dev.v0
+  description: Test the model's ability to distinguish between existing and hallucinated Belarusian words.
+  metrics: [accuracy]
+
+belarusian-lexicon.dev.v0:
+  class: evals.elsuite.basic.match:Match
+  args:
+    samples_jsonl: belarusian_lexicon/samples.jsonl