Eval: ASL Classifiers

[docequity]

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Eval details 📑

Eval name

ASL Classifiers

Eval description

Classifiers are an integral part of American Sign Language (ASL) grammar. ASL classifiers are certain categories of hand shapes that are used to represent objects, actions, or locations. Given a description and an ASL classifier, the model is asked to determine whether the ASL translation of the description could be represented by the ASL classifier.

What makes this a useful eval?

There are many evals for assessing text-based languages, but none for languages rooted in the physical environment. This task tests the model's ability to process the syntax of a non-textual language which is a useful entry into languages requiring multimodal input.

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 👀

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• [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
• [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:

View evals in JSON

Eval

{"input":[{"role":"system","content":"You are an American Sign Language (ASL) interpreter. You will be prompted with a description in quotes followed by an ASL classifier. You want to see if you can sign the given description using the given ASL classifier. Briefly go through your thought process for how the description could be or could not be represented by the classifier and write your final answer as YES or NO."},{"role":"user","content":"\"a walking person\" CL:2"}],"ideal":"YES"}
{"input":[{"role":"system","content":"You are an American Sign Language (ASL) interpreter. You will be prompted with a description in quotes followed by an ASL classifier. You want to see if you can sign the given description using the given ASL classifier. Briefly go through your thought process for how the description could be or could not be represented by the classifier and write your final answer as YES or NO."},{"role":"user","content":"\"people standing in line\" CL:4"}],"ideal":"YES"}
{"input":[{"role":"system","content":"You are an American Sign Language (ASL) interpreter. You will be prompted with a description in quotes followed by an ASL classifier. You want to see if you can sign the given description using the given ASL classifier. Briefly go through your thought process for how the description could be or could not be represented by the classifier and write your final answer as YES or NO."},{"role":"user","content":"\"a plane taking off\" CL:O"}],"ideal":"NO"}
{"input":[{"role":"system","content":"You are an American Sign Language (ASL) interpreter. You will be prompted with a description in quotes followed by an ASL classifier. You want to see if you can sign the given description using the given ASL classifier. Briefly go through your thought process for how the description could be or could not be represented by the classifier and write your final answer as YES or NO."},{"role":"user","content":"\"a sailing boat\" CL:3"}],"ideal":"YES"}
{"input":[{"role":"system","content":"You are an American Sign Language (ASL) interpreter. You will be prompted with a description in quotes followed by an ASL classifier. You want to see if you can sign the given description using the given ASL classifier. Briefly go through your thought process for how the description could be or could not be represented by the classifier and write your final answer as YES or NO."},{"role":"user","content":"\"a flying mosquito\" CL:F"}],"ideal":"YES"}
{"input":[{"role":"system","content":"You are an American Sign Language (ASL) interpreter. You will be prompted with a description in quotes followed by an ASL classifier. You want to see if you can sign the given description using the given ASL classifier. Briefly go through your thought process for how the description could be or could not be represented by the classifier and write your final answer as YES or NO."},{"role":"user","content":"\"a cluster of houses\" CL:I"}],"ideal":"NO"}

[kzylam]

Thanks for the approval! Would love to get 32K access if possible since I already have GPT-4.

[docequity]

Thanks for your feedback. I have updated the evaluation method to use Includes and also updated the prompt to ask for the model's thought process. Invoking the thought process provided cool insights that the model understood what ASL classifiers were and had some decent ideas of how to apply them in a translation but still only had an accuracy of 0.55 with GPT-3.5-TURBO and an accuracy of 0.625 with GPT-4, which is similar to the original test runs.

[docequity]

Thanks for the feedback. Had a brain fart between Match and Includes. I have updated the prompt.

[usama-openai]

You should see GPT-4 API access enabled in your account in the next few days.

[docequity]

@usama-openai Since we already have GPT-4, is there any way we can get GPT-4-32k access instead? We have large data we'd like to do some tests on. If that is not possible, is there a chance you could grant GPT-4 access to the kzylam account that I accidentally commented with above? Thanks!