datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
flutter-diff-steps-v1
Flutter Codegen: Diff Steps
Synthetic dataset of step-by-step Flutter/Dart widget construction, where each
row is one incremental edit in a sequence: given a goal, the current code, and the
history of steps taken so far, predict the next action (a short description) and
the code change as a search/replace diff hunk.
Built for training and evaluating small language models on iterative, diff-based
code editing -- as opposed to regenerating the whole file at each step. This is
the… See the full description on the dataset page: https://huggingface.co/datasets/bbidpa/flutter-diff-steps-v1.Rainbow-Pony-100m-Flutter-steps-eval
Rainbow-Pony-100M Flutter — Steps Mode — Validation Results
Dataset Summary
Held-out evaluation results for bbidpa/Rainbow-Pony-100m-Flutter-steps,
a 100M-parameter transformer trained from scratch to edit Flutter/Dart source files.
In steps mode, the model is given an existing file and an edit instruction and
generates a sequence of localized search/replace edit actions, each mechanically
applied to the current file state before the next action is generated… See the full description on the dataset page: https://huggingface.co/datasets/bbidpa/Rainbow-Pony-100m-Flutter-steps-eval.Qwen2.5-Coder-0.5B-Flutter-steps-eval
Qwen2.5-Coder-0.5B Flutter — Steps Mode — Validation Results
Dataset Summary
Held-out evaluation results for bbidpa/Qwen2.5-Coder-0.5B-Flutter-steps,
a fine-tune of Qwen2.5-Coder-0.5B for editing Flutter/Dart source files. In steps
mode, the model is given an existing file and an edit instruction and generates a
sequence of localized search/replace edit actions, each mechanically applied to the
current file state before the next action is generated, until the… See the full description on the dataset page: https://huggingface.co/datasets/bbidpa/Qwen2.5-Coder-0.5B-Flutter-steps-eval.llm-medical-reasoning-steps-benchmark
LLM Medical Reasoning Steps Benchmark
This dataset contains 1,170 medical reasoning benchmark questions with final answers, reference reasoning steps, and reference key points.
Dataset Files
data/all.jsonl: all 1,170 examples.
data/mcq.jsonl: 592 multiple-choice examples.
data/oeq.jsonl: 578 open-ended examples.
No model prediction outputs are included in this release.
Schema
Each JSONL row has the following fields:
{
"id": "mcq_0001",
"task_type":… See the full description on the dataset page: https://huggingface.co/datasets/medreason/llm-medical-reasoning-steps-benchmark.protocols-with-stepsAll protocols from https://github.com/protocolsio/protocols in text form with steps as json list
step_sftMix:
数据集名称
是否有step
可用于PRM训练
标签形式
Title
备注
GSM8K
✅
❌
答案
Training Verifiers to Solve Math Word Problems
MATH
❌
❌
答案
Measuring Mathematical Problem Solving With the MATH Dataset
Non-Step
PRM800K
✅
✅
正确类别
Let's Verify Step by Step
prompt deduplication
Math-Shepherd
✅
✅
正确类别
Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations
Not used
ProcessBench
✅
✅
首个错误步骤
ProcessBench: Identifying Process Errors in Mathematical Reasoning
only label -1
Sky-T1_data_steps
Sky-T1_data_steps
This dataset contains 182 samples taken from NovaSky-AI/Sky-T1_data_17k
dataset and broken down to thinking steps. This dataset was used to train shakedzy/Sky-T1-32B-Steps
LoRA adapter for step-by-step thinking.
Breaking down the thought process to steps was done using Ollama's quantized version of Llama-3.2-1B.
See step_prompt file for the exact prompt used.
Dataset Columns
id (int): row index of the sample in the original dataset (starts at 0)… See the full description on the dataset page: https://huggingface.co/datasets/shakedzy/Sky-T1_data_steps.ocr2_cf1900_k2_gpt55_medium_qwen35_error_steps_seed20260513
GPT-5.5 Medium Reannotation of Qwen3.5-Positive OCR2 Coding Steps
This dataset follows the same 500-row parquet layout as JingweiNi/ocr2_cf1900_k2_qwen35_fp8_10k_seed20260513 and contains GPT-5.5 medium-reasoning reannotations for the 1,536 Qwen3.5-positive error steps.
Summary
Source dataset: JingweiNi/ocr2_cf1900_k2_qwen35_fp8_10k_seed20260513
Source rows: 500 K2-Think Codeforces traces
Source manifest-selected Qwen3.5 labels: 10,000 steps
GPT-5.5 reannotated… See the full description on the dataset page: https://huggingface.co/datasets/JingweiNi/ocr2_cf1900_k2_gpt55_medium_qwen35_error_steps_seed20260513.workflow-automation-steps
Workflow Automation Steps Dataset
Workflow and step descriptions for automation and orchestration systems.