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Support GSM8k evaluation with tools by Lagent and LangChain #277

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merged 5 commits into from
Sep 22, 2023

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mzr1996
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@mzr1996 mzr1996 commented Aug 28, 2023

Thanks for your contribution and we appreciate it a lot. The following instructions would make your pull request more healthy and more easily get feedback. If you do not understand some items, don't worry, just make the pull request and seek help from maintainers.

Motivation

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Modification

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If so, please describe how it breaks the compatibility and how the downstream projects should modify their code to keep compatibility with this PR.

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If this PR introduces a new feature, it is better to list some use cases here and update the documentation.

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  • Pre-commit or other linting tools are used to fix the potential lint issues.
  • Bug fixes are fully covered by unit tests, the case that causes the bug should be added in the unit tests.
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@gaotongxiao
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/
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Thanks for your contribution! The linting test seems not passed.

image

You can install pre-commit hooks to automatically fix this issue:

pip install -U pre-commit
pre-commit install
pre-commit run --all-files
git add --update
git commit

@Leymore Leymore marked this pull request as draft August 29, 2023 13:50
@mzr1996 mzr1996 changed the title [WIP] Support GSM8k evaluation with tools by Lagent and LangChain Support GSM8k evaluation with tools by Lagent and LangChain Aug 31, 2023
@mzr1996 mzr1996 marked this pull request as ready for review August 31, 2023 09:14
@Leymore Leymore assigned mzr1996 and unassigned Leymore Sep 11, 2023
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Overall good, but the documentation and docstring are urgently needed.


self.agent = REGISTRY.build(agent_cfg)

def chat(self, user_input, ice=None) -> Tuple[str, dict]:
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ice is not used? Same for langchain

REGISTRY = Registry('helper')


class LagentAgent:
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May need a BaseAgent - if the design is general enough

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Need docstr for the class (same for langchain)

super().__init__()
self.fail_words = fail_words

def score(self, predictions: List):
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Suggested change
def score(self, predictions: List):
def score(self, predictions: List, references: List):

Following the protocol though it's not used

highest_idx = np.where(scores == scores.max())[0].tolist()
return random.choice(highest_idx)

def _openai_function(self, msg: str, max_out_len: int, functions: dict,
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Can it be implemented as an OpenAIFunc wrapper?

@Leymore Leymore self-requested a review September 14, 2023 15:55
@Leymore Leymore merged commit 0f2c388 into main Sep 22, 2023
3 checks passed
go-with-me000 pushed a commit to go-with-me000/opencompass that referenced this pull request Oct 9, 2023
…pass#277)

* Support GSM8k evaluation with tools by Lagent and LangChain

* Avoid to use MMEngine new feature

* update document

---------

Co-authored-by: Leymore <[email protected]>
@Leymore Leymore deleted the mzr/support-agents branch January 8, 2024 08:34
liuyaox pushed a commit to liuyaox/opencompass that referenced this pull request Jun 26, 2024
…pass#277)

* Support GSM8k evaluation with tools by Lagent and LangChain

* Avoid to use MMEngine new feature

* update document

---------

Co-authored-by: Leymore <[email protected]>
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3 participants