datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
DRIM-ColdstartSFTThis repository contains the cold-start SFT datasets used in the paper Deep But Reliable: Advancing Multi-turn Reasoning for Thinking with Images
Spec-o3-ColdStartSFT
Spec-o3 Cold-Start (iMCoT) Dataset
Project Page | Paper | Code
Dataset Summary
This dataset contains expert-approved spectral inspection trajectories for cold-start supervised fine-tuning (SFT) of Spec-o3, a tool-augmented vision-language agent for astronomer-aligned spectral inspection and candidate vetting.
Each sample is an interleaved multimodal chain-of-thought (iMCoT) trajectory that alternates between:
Textual inspection reasoning, and
Structured tool calls that… See the full description on the dataset page: https://huggingface.co/datasets/Maxwell-Jia/Spec-o3-ColdStartSFT.mc_gui_cold_startMini-o3-Coldstart-DatasetMultimodal-Cold-Start
Multimodal-Cold-Start Dataset: Advancing Multimodal Reasoning via Reinforcement Learning with Cold Start
This repository hosts the Multimodal-Cold-Start dataset, a crucial component of the research presented in the paper "Advancing Multimodal Reasoning via Reinforcement Learning with Cold Start". This dataset is specifically designed for the cold start supervised fine-tuning (SFT) stage, which serves as the initial phase in a two-stage approach to enhance multimodal reasoning… See the full description on the dataset page: https://huggingface.co/datasets/WaltonFuture/Multimodal-Cold-Start.rrvf_coldstart_chartqaGeoVista-Cold-StartGThinker-11k-cold-start
Introduction
This repository contains the cold-start dataset used in the paper GThinker: Towards General Multimodal Reasoning via Cue-Guided Rethinking.
We build this data using our proposed Multimodal Iterative Labeling framework, with the help of O1, O3, and GPT-4o. To use this dataset, you must follow the policy of OpenAI and M3CoT and cite as follows.
Guideline
TRAIN_SYS_PROMPT = 'A conversation between User and Assistant. The user asks a question, and the Assistant… See the full description on the dataset page: https://huggingface.co/datasets/JefferyZhan/GThinker-11k-cold-start.minio3-qa-coldstart-2606walton-multimodal-cold-start-r1-format-30k
walton-multimodal-cold-start-r1-format-30k
WaltonFuture/Multimodal-Cold-Start converted to multimodal-open-r1-8k-verified format with filtering
Dataset Description
This dataset was processed using the data-preproc package for vision-language model training.
Processing Configuration
Base Model: Qwen/Qwen2.5-7B-Instruct
Tokenizer: Qwen/Qwen2.5-7B-Instruct
Sequence Length: 16384
Processing Type: Vision Language (VL)
Dataset Features
input_ids:… See the full description on the dataset page: https://huggingface.co/datasets/penfever/walton-multimodal-cold-start-r1-format-30k.walton-multimodal-cold-start-r1-format
walton-multimodal-cold-start-r1-format
WaltonFuture/Multimodal-Cold-Start converted to multimodal-open-r1-8k-verified format with filtering
Dataset Description
This dataset was processed using the data-preproc package for vision-language model training.
Processing Configuration
Base Model: Qwen/Qwen2.5-7B-Instruct
Tokenizer: Qwen/Qwen2.5-7B-Instruct
Sequence Length: 16384
Processing Type: Vision Language (VL)
Dataset Features
input_ids: Tokenized… See the full description on the dataset page: https://huggingface.co/datasets/oumi-ai/walton-multimodal-cold-start-r1-format.