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DiDPO-SFT-Data

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Text Generation

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Dataset card Data Studio Files Files and versions

DiDPO-SFT-Data / README.md

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Repack episode react_chat: 3023 unique won, observation-only user turns after step 1

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license: apache-2.0
task_categories:
  - text-generation
language:
  - en
tags:
  - code
  - sft
  - multi-turn
  - didpo
  - apps
  - coderl
  - react
size_categories:
  - 1K<n<10K

DiDPO-SFT-Data

Multi-turn SFT trajectories for code-editing agents (APPS / CodeRL+), for verl multiturn SFT.

Protocol

Granularity: episode (one row = full trajectory)
Layout: react_chat — turn-1 user is full initial prompt; later user turns are observation-only
Actions: <execute_bash>, <edit>, <finish> (ReAct · exec · think OFF)
Filter: won only, 3023 unique episodes (dedup by instance_id)

Stats

Split	Episodes
train	2872
val	151

Sources

APPS train, CodeRL+ prime_extra (Qwen/GLM collect), synthetic teacher wrap. Easy pool excluded.

Files

train.parquet / val.parquet — verl SFT (messages column)
train.meta.json — build metadata
sft_won_format_report.json — pre-pack validation

Usage

# verl: data.multiturn.enable=true, messages_key=messages
# train_files=data/sft/apps_mt8_mix/train.parquet