Evaluation: Playing chess (#45)

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## Eval details 📑
### Eval name
Chess

### Eval description
This prompts GPT with the FEN of a board position. Using Stockfish, the
best move ("correct answer") is taken as a groundtruth.

### What makes this a useful eval?

ChatGPT is famously known for not being able to play chess well
(https://www.youtube.com/watch?v=GneReITaRvs)

## 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

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

### Unique eval value

Chess is a tough task, no language model was capable of having a good
performance in

## 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}.jsonl`
- [x] Ensure you have the right to use the data you submit via this eval

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cases, and we may consider merging them in the future.)

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- [x] I understand that opening a PR, even if it meets the requirements
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### Submit eval

- [x] I have filled out all required fields in the evals PR form
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Failure to fill out all required fields will result in the PR being
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### Eval JSON data 

Since we are using Git LFS, we are asking eval submitters to add in
their first 100 JSONL eval lines.

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

  ### Eval
{"input": [{"role": "system", "content": "TASK: Read the chess position
provided in FEN-notation, then identify the best move to the board
position below, in the format A. Your answer should only contain the
letter of the correct move. Do not provide any further explanation."},
{"role": "user", "content": "White to move FEN:
2r3k1/p1q2ppp/1p3n2/1Q2p3/2P5/6P1/P4PKP/3R4 Possible Moves: A: f4, B:
Rd2, C: Kg1, D: Qb2 Answer only with the letter of the beset move."}],
"ideal": "D"}
{"input": [{"role": "system", "content": "TASK: Read the chess position
provided in FEN-notation, then identify the best move to the board
position below, in the format A. Your answer should only contain the
letter of the correct move. Do not provide any further explanation."},
{"role": "user", "content": "Black to move FEN:
r1bq1rk1/pp5p/3pp1p1/2p1b2p/2P1P2P/3PQ3/PP3P2/RNB2RK1 Possible Moves: A:
h8, B: Qxh4, C: Kg7, D: Bxb2 Answer only with the letter of the beset
move."}], "ideal": "B"}
{"input": [{"role": "system", "content": "TASK: Read the chess position
provided in FEN-notation, then identify the best move to the board
position below, in the format A. Your answer should only contain the
letter of the correct move. Do not provide any further explanation."},
{"role": "user", "content": "White to move FEN:
r12k5/4b3/1p4p1/p3P2p/PP3P1P/2P2KP1/8/8 Possible Moves: A: Ke4, B: g4,
C: c3, D: bxa Answer only with the letter of the beset move."}],
"ideal": "D"}

</details>

evals/registry/evals/chess.yaml

@@ -0,0 +1,8 @@
+chess-match:
+  id: chess.match.dev.v0
+  description: Test the model's ability to play chess
+  metrics: [accuracy]
+chess.match.dev.v0:
+  class: evals.elsuite.basic.fuzzy_match:FuzzyMatch
+  args:
+    samples_jsonl: chess/match.jsonl