datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
MMFineReason-SFT-123K-Qwen3-VL-235B-Thinking
MMFineReason-SFT-123K
The Hardest 7% — Less Data, More Reasoning
📖 Overview
MMFineReason-SFT-123K is a difficulty-filtered subset of MMFineReason-1.8M, containing only the hardest 7% of samples where Qwen3-VL-4B-Thinking consistently fails (pass rate = 0).
🎯 Key Highlights
123K Challenging Samples: Only instances where a 4B thinking model fails all 4 inference attemptsEfficient Training: Comparable performance to full 1.8M dataset with only 7% of… See the full description on the dataset page: https://huggingface.co/datasets/OpenDataArena/MMFineReason-SFT-123K-Qwen3-VL-235B-Thinking.MMFineReason-SFT-123K-Qwen3-VL-235B-Thinking-QR-max4096
Derived dataset note
This dataset was derived from OpenDataArena/MMFineReason-SFT-123K-Qwen3-VL-235B-Thinking as a part of arxiv.org/abs/2603.22276.
Field changes:
question -> query
qwen3vl_235b_thinking_response -> response
image -> images (single-item list)
added tok_len, computed with tokenizer Qwen/Qwen3-8B on query + '\n\n' + response
add_special_tokens=False
The original README content is preserved below.
MMFineReason-SFT-123K
The Hardest 7% — Less Data, More Reasoning… See the full description on the dataset page: https://huggingface.co/datasets/eyes-ml/MMFineReason-SFT-123K-Qwen3-VL-235B-Thinking-QR-max4096.tiny-think-sft-math-n-stem
Shekswess/tiny-think-sft-math-n-stem
Overview
Supervised fine-tuning (SFT) dataset built from allenai/Dolci-Think-SFT-7B plus GSM8K like think-style SFT from openai/gsm8k, using the facebook/MobileLLM-R1-140M-base tokenizer and chat template. This dataset targets math and STEM reasoning.
Dataset Details
Build date: 2026-01-10
Sources: 4
Rows: 29,149
Tokens: 59,999,048 (below budget; used all available tokens)
Max sequence length: 4096 tokens per example (chat… See the full description on the dataset page: https://huggingface.co/datasets/Shekswess/tiny-think-sft-math-n-stem.reasoning-sft-dolci-think-sft-32b-1M
Dolci-Think-SFT-32B (converted)
Converted version of allenai/Dolci-Think-SFT-32B, filtered to 1,015,233 rows from 7 selected sources.
Format
Each row has three columns:
input — list of dicts [{"role": "user", "content": "..."}, ...] (conversation turns ending on the last user turn)
response — teacher-generated response string (includes <think> reasoning block)
source — task domain / source dataset name
Filtering
Removed the following sources from the original… See the full description on the dataset page: https://huggingface.co/datasets/AmanPriyanshu/reasoning-sft-dolci-think-sft-32b-1M.