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[BFCL] Fix Double-Casting Issue in model_handler for Java and JS category. #516
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Fanjia-Yan
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LGMTM
ShishirPatil
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Jul 17, 2024
This was referenced Jul 20, 2024
ShishirPatil
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Jul 20, 2024
… PR Merge (#536) On July 16th, PR #516 and PR #512 were merged first. They introduced fixes that should be applied to all model handlers. Shortly after, on the same day, PR #525 was merged. The new model handler introduced in PR #525 is missing the fixes from the previous two merged PRs (it wasn't synced accordingly). This PR addresses this issue by applying the necessary fixes to the new model handler.
This was referenced Jul 21, 2024
ShishirPatil
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Jul 22, 2024
…est Category (#538) In our BFCL official communication channels, including the evaluation manual blog, GitHub issue replies (such as #424), and our Discord channel, we have previously stated the following: > For Java and JavaScript test category, before querying the model, we do some pre-processing on the prompt and function document. Specifically, at the end of the prompt, we will explicitly state that `the provided function is in Java 8/JavaScript/Python syntax`. And for parameter types that are not native to JSON, we will change their type to `String` (since `String` is JSON compatible) and add in the parameter description that `f" This is Java/JavaScript {value['type']} in string representation."` > As an example, when expecting type `ArrayList`, model will get the instruction that this is a `String` type parameter with the parameter description containing `"This is Java ArrayList in string representation."`, and thus the model should output the value in `String` format (eg, `"new ArrayList<>(Arrays.asList(10, 20, 30))"`), which is JSON compatible. However, the code for `language_specific_pre_processing` did not implement this correctly. Due to an indentation issue, the parameter description was only modified when the parameter type was `any`, and the part where the parameter type is cast to `String` was never implemented. This issue was unnoticed until PR #516 was merged because of the double-casting problem. It *significantly impacts* the evaluation score for the Java and JavaScript categories. We will update the leaderboard very soon. This PR: - Addresses the above issue and ensures that the evaluation logic aligns with the previously described behaviour - Updates two entries in the JavaScript dataset, due to their parameters missing a `description` field - Index: `14, 45` We sincerely apologize for the oversight.
ShishirPatil
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Jul 24, 2024
…#539) This PR updates the leaderboard to reflect the changes in score due to the following PR merge. - #516 - #522 - #525 - #536 The score for the following category are affected: - executable_parallel_multiple - Java (FC models only) - JavaScript (FC models only) Consequently, the aggregated also need to be updated: - Simple Func AST - AST Summary - Overall Acc <img width="980" alt="image" src="https://github.com/user-attachments/assets/04ea5265-34ed-4fb4-a2fb-5bc47affa8f7"> <img width="1076" alt="image" src="https://github.com/user-attachments/assets/e37201e1-4cd7-43e8-b37a-5198f4809e87"> --- Aggregates <img width="913" alt="image" src="https://github.com/user-attachments/assets/85b0d681-ffae-42b5-af0d-e7963129bef2"> <img width="809" alt="image" src="https://github.com/user-attachments/assets/04d0de7a-ead7-4e5c-99e4-931864d65e82"> <img width="773" alt="image" src="https://github.com/user-attachments/assets/7df8e885-bd68-4910-896f-a27dcbfefbce">
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aw632
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Aug 22, 2024
…gory. (ShishirPatil#516) When inferencing for Java or JS category, all function parameters are already in `string` type (refer to [this part](https://github.com/ShishirPatil/gorilla/blob/main/berkeley-function-call-leaderboard/model_handler/utils.py#L334-L374)). So the model output must be `string` type as well to be correct. The `decode_ast` method in some of the `model_handler` contains the following code snippet: ``` if language == "Python": pass else: # all values of the json are casted to string for java and javascript for key in params: params[key] = str(params[key]) ``` The line `params[key] = str(params[key])` should not exist because it is giving the model a 'second chance' when its parameter type is wrong (by casting it to a `string` when it is not). This double type-casting will introduce false positives to the evaluation result. As I mentioned in ShishirPatil#477, this PR addresses this issue. Model Family Affected: - OpenAI (FC only) - Claude (FC only) - Mistral (FC only) - Gemini - Cohere (FC only) This will affect the leaderboard score. We will update it soon, in a different PR. --------- Co-authored-by: Shishir Patil <30296397+ShishirPatil@users.noreply.github.com>
aw632
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to vinaybagade/gorilla
that referenced
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Aug 22, 2024
… PR Merge (ShishirPatil#536) On July 16th, PR ShishirPatil#516 and PR ShishirPatil#512 were merged first. They introduced fixes that should be applied to all model handlers. Shortly after, on the same day, PR ShishirPatil#525 was merged. The new model handler introduced in PR ShishirPatil#525 is missing the fixes from the previous two merged PRs (it wasn't synced accordingly). This PR addresses this issue by applying the necessary fixes to the new model handler.
aw632
pushed a commit
to vinaybagade/gorilla
that referenced
this pull request
Aug 22, 2024
…est Category (ShishirPatil#538) In our BFCL official communication channels, including the evaluation manual blog, GitHub issue replies (such as ShishirPatil#424), and our Discord channel, we have previously stated the following: > For Java and JavaScript test category, before querying the model, we do some pre-processing on the prompt and function document. Specifically, at the end of the prompt, we will explicitly state that `the provided function is in Java 8/JavaScript/Python syntax`. And for parameter types that are not native to JSON, we will change their type to `String` (since `String` is JSON compatible) and add in the parameter description that `f" This is Java/JavaScript {value['type']} in string representation."` > As an example, when expecting type `ArrayList`, model will get the instruction that this is a `String` type parameter with the parameter description containing `"This is Java ArrayList in string representation."`, and thus the model should output the value in `String` format (eg, `"new ArrayList<>(Arrays.asList(10, 20, 30))"`), which is JSON compatible. However, the code for `language_specific_pre_processing` did not implement this correctly. Due to an indentation issue, the parameter description was only modified when the parameter type was `any`, and the part where the parameter type is cast to `String` was never implemented. This issue was unnoticed until PR ShishirPatil#516 was merged because of the double-casting problem. It *significantly impacts* the evaluation score for the Java and JavaScript categories. We will update the leaderboard very soon. This PR: - Addresses the above issue and ensures that the evaluation logic aligns with the previously described behaviour - Updates two entries in the JavaScript dataset, due to their parameters missing a `description` field - Index: `14, 45` We sincerely apologize for the oversight.
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When inferencing for Java or JS category, all function parameters are already in
string
type (refer to this part). So the model output must bestring
type as well to be correct.The
decode_ast
method in some of themodel_handler
contains the following code snippet:The line
params[key] = str(params[key])
should not exist because it is giving the model a 'second chance' when its parameter type is wrong (by casting it to astring
when it is not). This double type-casting will introduce false positives to the evaluation result. As I mentioned in #477, this PR addresses this issue.Model Family Affected:
This will affect the leaderboard score. We will update it soon, in a different PR.