datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Submission-Archiveaudiofolder_two_configs_in_metadataMetaMathQAView the project page:
https://meta-math.github.io/
see our paper at https://arxiv.org/abs/2309.12284
Note
All MetaMathQA data are augmented from the training sets of GSM8K and MATH.
None of the augmented data is from the testing set.
You can check the original_question in meta-math/MetaMathQA, each item is from the GSM8K or MATH train set.
Model Details
MetaMath-Mistral-7B is fully fine-tuned on the MetaMathQA datasets and based on the powerful Mistral-7B model. It is… See the full description on the dataset page: https://huggingface.co/datasets/meta-math/MetaMathQA.audiofolder_single_config_in_metadataimagefolder_with_metadataaudiofolder_no_configs_in_metadataMetaFold
Dataset Card for Dataset Name
MetaFold Dataset is a point-cloud trajectory dataset designed for multi-category garment folding tasks in robotic manipulation.
Dataset Details
Dataset Description
Curated by: Haonan Chen, Junxiao Li, Ruihai Wu, Yiwei Liu, Yiwen Hou, Zhixuan Xu, Jingxiang Guo, Chongkai Gao, Zhenyu Wei, Shensi Xu, Jiaqi Huang, Lin Shao
License: CC BY-NC-ND 4.0
Dataset Sources [optional]
Repository:… See the full description on the dataset page: https://huggingface.co/datasets/chenhn02/MetaFold.gaia2
Gaia2
Paper | Code | Project Page
Dataset Summary
Gaia2 is a benchmark dataset for evaluating AI agent capabilities in simulated environments. The dataset contains 800 scenarios that test agent performance in environments where time flows continuously and events occur dynamically.
The dataset evaluates seven core capabilities: Execution (multi-step planning and state changes), Search (information gathering and synthesis), Adaptability (dynamic response to environmental… See the full description on the dataset page: https://huggingface.co/datasets/meta-agents-research-environments/gaia2.metaworldaudiofolder_two_configs_in_metadatagaia2_filesystem
GAIA2 Filesystem
This is a dataset containing files for the GAIA2 benchmark. You should not use this dataset on its own, but instead use the Meta Agents Research Environments framework to execute scenarios from that GAIA2 dataset.
Dataset Link
https://huggingface.co/datasets/meta-agents-research-environments/gaia2
Contact Details
Publishing POC: Meta AI Research Team
Affiliation: Meta Platforms, Inc.
Website:… See the full description on the dataset page: https://huggingface.co/datasets/meta-agents-research-environments/gaia2_filesystem.code_python_filesvoxblink2-metadataaudiofolder_two_configs_in_metadata_with_defaultcode_execution_filesphaseShift_shell_result_pdf
Phase Resonance / IRS-DCE
Topological Dynamics & Artificial Cognitive Physics
Open Structural Record of Basis-Relative Reorganization in Transformer Representation Space
All pdf Creative Creative Commons Attribution No Derivatives 4.0 International
This repository provides comprehensive PDF research materials and Python scripts and something for mathematical proofs in the field of AI.
📢 Achievement: total 51k+ Downloads!… See the full description on the dataset page: https://huggingface.co/datasets/meta13sphere/phaseShift_shell_result_pdf.imagefolder_with_metadata_no_splitsM3DLayout
M3DLayout: A Multi-Source Dataset of 3D Indoor Layouts and Structured Descriptions for 3D Generation
We are continuously scaling up our layout collection and will release more results as soon as they are ready. Please stay tuned and follow our work for updates!
In text-driven 3D scene generation, object layout serves as a crucial intermediate representation that bridges high-level language instructions with detailed geometric output. It not only provides a structural blueprint for… See the full description on the dataset page: https://huggingface.co/datasets/Metaverse-AI-Lab/M3DLayout.meta-coq-utilsmeta-coq-commoncustom_code_py_filesPhysicTran38K
PhysicTran38K
We provide 38K video-based dataset for physics-aware image editing, by casting editing as physical state transitions. To know the details of the dataset creation pipeline, please refer to Section 3.2 of [1].
Dataset Download and Loading
huggingface-cli download diffusion-cot/PhysicTran38K --local-dir /path/to/data_path
Then please refer to our training code for data loading.
✍️ Citation
If you find our work inspiring or use our codebase in… See the full description on the dataset page: https://huggingface.co/datasets/metazlb/PhysicTran38K.metaworld_mt50This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "metaworld",
"total_episodes": 2500,
"total_frames": 204806,
"total_tasks": 50,
"chunks_size": 1000,
"fps": 80,
"splits": {
"train": "0:2500"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path": "videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4"… See the full description on the dataset page: https://huggingface.co/datasets/lerobot/metaworld_mt50.meta13sphere_IRS_DCE_Topological_Dynamics__Boundary_Dissolution_Physics
Resonance Resonance / IRS-DCE
MASTER README (FULL EXTENDED VERSION)
If you need the other data or pdf check on [https://huggingface.co/datasets/meta13sphere/phaseShift_shell_result_pdf]
[2026-09-25 Update]
The Geometry of IRS-DCE Boundary Dissolution v1.0 is now available in Korean and English.
Resolution-Dependent Component Decomposition and Dynamic Rearrangement
This release connects the existing IRS-DCE and BBRCM research to mathematical analysis and recorded… See the full description on the dataset page: https://huggingface.co/datasets/meta13sphere/meta13sphere_IRS_DCE_Topological_Dynamics__Boundary_Dissolution_Physics.stackoverflow-with-meta-data
Dataset Card for "stackoverflow-with-meta-data"
More Information needed
SlimPajama-Meta-rater
Annotated SlimPajama Dataset
Dataset Description
This dataset contains the first fully annotated SlimPajama dataset with comprehensive quality metrics for data-centric large language model research. The dataset includes approximately 580 billion tokens from the training set of the original SlimPajama dataset, annotated across 25 different quality dimensions.
Note: This dataset contains only the training set portion of the original SlimPajama dataset, which is why the… See the full description on the dataset page: https://huggingface.co/datasets/opendatalab/SlimPajama-Meta-rater.meta-active-readingthe-stack-metadata
Dataset Card for The Stack Metadata
Changelog
Release
Description
v1.1
This is the first release of the metadata. It is for The Stack v1.1
v1.2
Metadata dataset matching The Stack v1.2
Dataset Summary
This is a set of additional information for repositories used for The Stack. It contains file paths, detected licenes as well as some other information for the repositories.
Supported Tasks and Leaderboards
The main… See the full description on the dataset page: https://huggingface.co/datasets/bigcode/the-stack-metadata.conceptual-captions-12m-webdataset-metadata
Conceptual Captions 12M — Webshart metadata indices
Per-shard webshart metadata indices for
laion/conceptual-captions-12m-webdataset:
1,100 JSON files under data/, one per source tar shard, mirroring the source's shard layout.
Each index records every tar member's byte offset and length (enabling ranged reads without
downloading whole shards), image geometry (width/height for aspect bucketing), and — as of
August 2026 — embedded captions for all 10,994,853 samples, coalesced… See the full description on the dataset page: https://huggingface.co/datasets/webshart/conceptual-captions-12m-webdataset-metadata.arxiv-metadata-snapshot
Dataset Card for "arxiv-metadata-oai-snapshot"
More Information needed
This is a mirror of the metadata portion of the arXiv dataset.
The sync will take place weekly so may fall behind the original datasets slightly if there are more regular updates to the source dataset.
Metadata
This dataset is a mirror of the original ArXiv data. This dataset contains an entry for each paper, containing:
id: ArXiv ID (can be used to access the paper, see below)
submitter:… See the full description on the dataset page: https://huggingface.co/datasets/librarian-bots/arxiv-metadata-snapshot.