README.md

metadata

dataset_info:
  features:
    - name: grade
      dtype: int64
    - name: question
      dtype: string
    - name: golden
      dtype: string
    - name: reasoning_step
      dtype: int64
    - name: num_digits
      dtype: int64
    - name: prompt_id
      dtype: string
    - name: trans_resoning
      dtype: string
    - name: translated_question
      dtype: string
    - name: trans_model
      dtype: string
    - name: trans_timestamp
      dtype: string
    - name: trans_stop_reason
      dtype: string
    - name: COT_answer
      dtype: string
    - name: COT_model
      dtype: string
    - name: COT_timestamp
      dtype: string
    - name: COT_stop_reason
      dtype: string
    - name: source
      dtype: string
    - name: think
      dtype: string
    - name: translated_think
      dtype: string
    - name: final_answer
      dtype: string
    - name: messages
      list:
        - name: content
          dtype: string
        - name: role
          dtype: string
    - name: simple_messages
      list:
        - name: content
          dtype: string
        - name: role
          dtype: string
  splits:
    - name: train
      num_bytes: 20221478.205221616
      num_examples: 1627
  download_size: 9237020
  dataset_size: 20221478.205221616
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*

cmath_zhtw

污染修復情況（2026-08-11）

• 修復方式：污染掃描（詞庫驅動，/data/sdg_data/sdg_pipeline/lexicon/lexicon.yaml）→ scan-triage 逐筆人工判讀「真污染 / 誤報」→ 只修真污染；簡繁/大陸用語為逐詞判讀替換，非 OpenCC 整篇轉換（避免把已正確的繁體改壞）
• 修復範圍：僅修改 assistant 角色內容（user/tool/system 未動，訓練時本就被 mask）
• 本次修復筆數：污染清理 25 筆 + 「方程→方程式」用語修正 128 處
• 完整逐筆 before/after 對照：見 cleanup_0811_before_after.jsonl（污染清理）、fangcheng_fix_0811.jsonl（方程→方程式）