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.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.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.