datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
sec-material-contracts
Material Contracts (Exhibit 10) from SEC/EDGAR
Because sometimes you need 1,141,632 examples of corporate legalese to train your next model ☕
Dataset Summary
Picture this: 1,141,632 material contracts (Exhibit 10) painstakingly collected from sec.gov's EDGAR database. We're talking about legal agreements spanning from 1994 to 2025 Q1, sourced from 10-K, 10-Q, and 8-K filings. Think of Exhibit 10 as the treasure trove where companies hide their most important legal… See the full description on the dataset page: https://huggingface.co/datasets/chenghao/sec-material-contracts.sec-material-contracts-qa800+ EDGAR contracts with PDF images and key information extracted by the OpenAI GPT-4o model.
The key information is defined as follows:
class KeyInformation(BaseModel):
agreement_date : str = Field(description="Agreement signing date of the contract. (date)")
effective_date : str = Field(description="Effective date of the contract. (date)")
expiration_date : str = Field(description="Service end date or expiration date of the contract. (date)")
party_address : str =… See the full description on the dataset page: https://huggingface.co/datasets/chenghao/sec-material-contracts-qa.deep-swe-1-1-materialized
DeepSWE 1.1 — materialized
A tabular materialization of DeepSWE
v1.1 — Datacurve's 113-task benchmark for coding agents — repackaged from
datacurve-ai/deep-swe into one
parquet row per task. This is a third-party repack for tooling convenience,
not an official Datacurve release.
Source commit: see manifest.json (source_commit) — every file is
carried over unmodified into columns.
Integrity: manifest.json records the parquet's sha256 and a per-task
content hash (sha256 over each… See the full description on the dataset page: https://huggingface.co/datasets/luolc/deep-swe-1-1-materialized.hle_material_science
HLE Material Science: A Specialized Benchmark for Materials Science
A Materials Science Subset of Humanity's Last Exam (HLE)
Overview
HLE Material Science is a carefully curated materials science subset derived from the Humanity's Last Exam (HLE) dataset, containing 106 high-quality expert-level questions covering 25+ materials science subfields, with 97% of questions rated as high confidence.
This dataset is designed to evaluate large language models'… See the full description on the dataset page: https://huggingface.co/datasets/TalentZHOU/hle_material_science.Materials_Project
Cite this dataset Jain, A., Ong, S. P., Hautier, G., Chen, W., Richards, W. D., Dacek, S., Cholia, S., Gunter, D., Skinner, D., Ceder, G., and Persson, K. A. Materials Project. ColabFit, 2023. https://doi.org/10.60732/4bf2e346
This dataset has been curated and formatted for the ColabFit Exchange
This dataset is also available on the ColabFit Exchange:
https://materials.colabfit.org/id/DS_pv1f3dlo5dsc_0
Visit the ColabFit Exchange to search… See the full description on the dataset page: https://huggingface.co/datasets/colabfit/Materials_Project.apple-dms-materials
Apple Dense Material Segmentation (DMS) Dataset
A pixel-level material segmentation dataset containing ~41K images with dense annotations across 57 material categories. Originally released by Apple as part of the Dense Material Segmentation (DMS) research project.
Note: This is a mirror prepared for direct use with the HuggingFace 🤗 datasets library. The source images originate from Open Images V7, and material annotations were created by Apple. Some images (~6%) from the original… See the full description on the dataset page: https://huggingface.co/datasets/AllanK24/apple-dms-materials.sec-material-contracts-qa-splittedMixed and filtered version of chenghao/sec-material-contracts-qa and jordyvl/DUDE_subset_100val.
pes2o_materials_science_780m_refinedweb_220m_before_20190101hle_material_science
HLE Material Science: A Specialized Benchmark for Materials Science
A Materials Science Subset of Humanity's Last Exam (HLE)
Overview
HLE Material Science is a carefully curated materials science subset derived from the Humanity's Last Exam (HLE) dataset, containing 106 high-quality expert-level questions covering 25+ materials science subfields, with 97% of questions rated as high confidence.
This dataset is designed to evaluate large language models'… See the full description on the dataset page: https://huggingface.co/datasets/stonelight/hle_material_science.open-materials-guide-0210-embeddingspes2o_material_science_201901vinhome_material_replacementmaterials-crystal-system-classification
Materials Science Crystal System Classification Dataset
Dataset for classifying crystal system (7 classes) from chemical formula.
Citation
@article{venugopal2026probing,
title={Probing Materials Intelligence in LLMs: From Latent Embeddings to Reliable Predictions},
author={Venugopal, Vineeth and Mahjoubi, Soroush and Olivetti, Elsa},
journal={arXiv preprint arXiv:2603.01834},
year={2026}
}
materials-project
Dataset Card for xpanceo-team/materials-project
Dataset Summary
This dataset is a snapshot of the Materials Project (MP) materials database, exported from the MP Summary endpoint using mp-api.
Snapshot date: 2026-01-18.
The structure column stores pymatgen Structure JSON serialized as a string.
Important: For several rich/large MP sub-documents (e.g. XAS, DOS, band structure), this dataset stores only availability flags (*_is_available) rather than the full objects.… See the full description on the dataset page: https://huggingface.co/datasets/xpanceo-team/materials-project.apple-dms-materials-v2
Apple Dense Material Segmentation (DMS) – Stratified 80/10/10 Split
A pixel-level material segmentation dataset containing ~41K images with dense annotations across 57 material categories. Originally released by Apple as part of the Dense Material Segmentation (DMS) research project.
This version uses a custom stratified 80/10/10 split (vs Apple's original 54/23/23) to maximise training data while maintaining representative validation and test sets.
Why a Custom Split?… See the full description on the dataset page: https://huggingface.co/datasets/AllanK24/apple-dms-materials-v2.vinhome_material_replacement_bench
Material Replacement Bench v1.0
Frozen evaluation split for the interior-design material-replacement
benchmark: 1421 task specs (mask-aligned, watermark-free), of which
1093 are gt_clean (the stored output edits only the mask and
matches the reference; the rest keep output as a non-exemplar reference
solution only).
Task: given input + mask + reference (or the mask-free instruction),
replace the masked object's material and change nothing else. Evaluation is
reference-free —… See the full description on the dataset page: https://huggingface.co/datasets/Elfsong/vinhome_material_replacement_bench.open-materials-guide-2024
Open Materials Guide (OMG) Dataset
The OMG dataset is a collection of 17,000+ expert-verified synthesis recipes from open-access literature. It supports research in materials science and machine learning, enabling tasks such as raw materials prediction, synthesis procedure generation, and characterization outcome forecasting.
For more details, see our paper: Towards Fully-Automated Materials Discovery via Large-Scale Synthesis Dataset and Expert-Level LLM-as-a-Judge.
Key Features:… See the full description on the dataset page: https://huggingface.co/datasets/iknow-lab/open-materials-guide-2024.materials-figure-qa
Materials Figure QA
This repository contains 250 figure-grounded multimodal question-answer pairs from recent materials-related arXiv papers. Each item requires interpreting a rendered figure and applying materials-science reasoning. Figures with aspect ratio greater than 4:1 were removed; retained figures were downsampled so their longest dimension is at most 2048 pixels.
The filtered split preserves the original deterministic split:
validation: 128 examples
test: 122 examples… See the full description on the dataset page: https://huggingface.co/datasets/gneubig/materials-figure-qa.MaterialsSaddles
MaterialsSaddles
A high-throughput library of converged transition states for solid-state and
surface chemistry.
Hub URL: https://huggingface.co/datasets/AnonymouScientist/MaterialsSaddles
34,135,597 fully converged transition states computed by massively-parallel
saddle searches on top of public materials and catalysis datasets, using the
SaddleMill package and Meta's
uma-s-1p2 machine-learning
interatomic potential.
Each entry in a file is a single structure. Three… See the full description on the dataset page: https://huggingface.co/datasets/AnonymouScientist/MaterialsSaddles.quantum-simulation-chemistry-materials
Neura Parse — Quantum Simulation of Chemistry & Materials: Encodings, VQE/QPE & Dynamics
An application-deep, code-backed vertical on simulating quantum matter: electronic-structure problems, fermion-to-qubit encodings, Hamiltonian factorizations, ground/excited-state and real-time-dynamics algorithms, and analog simulation, with end-to-end resource estimates and honest classical-competitor accounting. Built with Qiskit Nature, OpenFermion, PennyLane-QChem, and PySCF — far… See the full description on the dataset page: https://huggingface.co/datasets/Neura-parse/quantum-simulation-chemistry-materials.hw-mnlp-2026
Dataset for Multilingual Natural Language Processing (MNLP) Homeworks
This dataset serves for both Homework 1 and Homework 2 of the Multilingual Natural Language Processing (MNLP) course.
Homework 1 - Semantic Search
In the first homework, you are asked to build semantic search systems. You must only use the following variables:
query: A single question in natural language.
query_id: The question (query) identifier.
candidate_chunks: List of candidate answers (only one… See the full description on the dataset page: https://huggingface.co/datasets/sapienzanlp-course-materials/hw-mnlp-2026.lab_tube_AND_bulk_material_transfer_ur5_v2This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "ur5",
"total_episodes": 200,
"total_frames": 137040,
"total_tasks": 2,
"total_videos": 1200,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:200"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/binhng/lab_tube_AND_bulk_material_transfer_ur5_v2.cng-workshop-materialsmaterials-bandgap-prediction
Materials Science Bandgap Prediction Dataset
Dataset for predicting bandgap (eV) from chemical formula. Source: Materials Project.
Citation
@inproceedings{anonymous2026learn,
title={How Large Language Models Learn Materials Science},
author={Anonymous},
booktitle={Under review},
year={2026}
}
Author and affiliation information is withheld during double-blind review.
material_production
Dataset Card for Material Production Dataset
Dataset Summary
The task is to predict whether a protein sequence fails at the protein material stage.
Dataset Structure
Data Instances
For each instance, there is a string representing the protein sequence and an integer label indicating whether a protein sequence fails at the protein material stage. See the material production dataset viewer to explore more examples.… See the full description on the dataset page: https://huggingface.co/datasets/biomap-research/material_production.Material_prototypematerials-crystal-system-classification
Materials Science Crystal System Classification Dataset
Dataset for classifying crystal system (7 classes) from chemical formula.
Citation
@inproceedings{anonymous2026learn,
title={How Large Language Models Learn Materials Science},
author={Anonymous},
booktitle={Under review},
year={2026}
}
Author and affiliation information is withheld during double-blind review.
materials-dielectric-prediction
Materials Science Dielectric Constant Prediction Dataset
Dataset for predicting dielectric constant from chemical formula. Source: Materials Project.
Citation
@inproceedings{anonymous2026learn,
title={How Large Language Models Learn Materials Science},
author={Anonymous},
booktitle={Under review},
year={2026}
}
Author and affiliation information is withheld during double-blind review.
synthetic-material-data-text
Split= 20240923wiki
Wikipedia/Wikidataの化合物データをもとに自動生成したテキスト
生成にはLlama-3.1-70B-Instructを使用
生成コードはこちら
オリジナルのデータは約7000件､データ拡張後は約140万件です｡
africa-egypt-capmas-average-retail-prices-for-key-construction-materials-aa8573d4
Average Retail Prices for Key Construction Materials | Africa (CAPMAS Egypt Open Data)
17,175 rows - 1 Africa country/area - 2010-2026 - 39 indicators - Engineered by Electric Sheep Africa
TL;DR
This dataset contains 17,175 rows from CAPMAS Egypt Open Data, covering Average Retail Prices for Key Construction Materials. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-egypt-capmas-average-retail-prices-for-key-construction-materials-aa8573d4.