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@hjh0119 hjh0119 commented Oct 27, 2025

As mentioned in #6313, when truncation_strategy is set to delete, the template may dynamically resample data that failed encoding. When the dataset contains the response field, it should be removed before encoding to prevent the response length from being incorrectly included in length calculations.

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Summary of Changes

Hello @hjh0119, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request resolves a critical bug in the RLHF trainer's data processing pipeline. It ensures that when datasets containing a 'response' field are being encoded, especially under conditions where data might be dynamically resampled due to encoding failures, the 'response' field is correctly handled and removed prior to encoding. This prevents erroneous length calculations that could otherwise occur, leading to more robust and accurate data preparation for training.

Highlights

  • Bug Fix for Data Encoding: Addresses an issue where the 'response' field in a dataset could lead to incorrect length calculations during data encoding, particularly when truncation_strategy is set to 'delete' and data resampling occurs.
  • Pre-encoding Response Removal: Introduces a call to remove_response on the messages field before the encoding step within the resample_encode_failed_inputs function, ensuring proper data preparation.
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Code Review

This pull request addresses a bug where the response length was incorrectly included in length calculations during the resampling of data that failed to encode. The fix involves calling remove_response before template.encode within the resample_encode_failed_inputs method. This ensures that only the prompt's length is considered for the encoding check, which is the correct behavior. The change is well-targeted and safe, as remove_response gracefully handles cases without an assistant message, and the response is removed again later in the processing pipeline before generation. The fix is sound and I approve of the change.

@hjh0119 hjh0119 merged commit 76f471e into modelscope:main Oct 28, 2025
1 of 2 checks passed
@hjh0119 hjh0119 deleted the fix-filter-encoded-failed branch October 28, 2025 12:20
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3 participants