| # mmlu (filtered) |
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| Filtered version of [cais/mmlu](https://huggingface.co/datasets/cais/mmlu). |
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| ## Source Dataset |
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| - **Original HuggingFace path**: `cais/mmlu` |
| - **Disjoint train/val splits**: yes |
| - **train split**: 1 subset(s) from `train` split |
| - **val split**: 57 subset(s) from `test` split |
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| ## Filtering Methodology |
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| Each example in the original dataset was reviewed by an LLM (GPT-OSS-120B) which assessed quality across several dimensions including factual accuracy, formatting consistency, and instructional clarity. Examples that failed review were collected into a blocklist keyed by source name and original row index. |
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| The filtered dataset was produced by: |
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| 1. Loading the original dataset from HuggingFace |
| 2. Stamping each row with its original index (`__source_orig_idx__`) for traceability |
| 3. Removing all rows whose index appears in the blocklist |
| 4. Validating that row counts match expectations exactly |
| 5. Spot-checking a random sample of surviving rows against the original to verify data integrity |
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| ## Filtering Impact |
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| | Split | Original Rows | Removed | Filtered Rows | % Removed | |
| |-------|--------------|---------|---------------|-----------| |
| | train | 99,842 | 6,928 | 92,914 | 6.94% | |
| | val | 14,042 | 0 | 14,042 | 0.00% | |
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| ## Schema |
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| All original columns are preserved. One column is added: |
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| - `__source_orig_idx__`: The row's index in the original (unfiltered) dataset. This provides complete lineage back to the source for debugging and future analysis. |
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| **Note**: The original `train` split had a nested structure (`subsplit_name: "train"`). This has been flattened into top-level columns. When updating `data_source_configurations.py` to point to this repo, remove the `subsplit_name` field from the `train` split config. |
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| ## Provenance |
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| - **Blocklist**: `data/instruct_mix/train/review_results/blocklist_proposed_20260218_232356.jsonl` |
| - **Mixture**: `assistant_core_midtraining` |
| - **Generated**: 2026-02-20T12:05:03.203204+00:00 |
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