datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
pxr-structure-pose-pool
PXR Structure Challenge — Full Multi-Model Pose Pool (184 ligands)
Every protein–ligand pose generated during the OpenADMET PXR (pregnane X receptor / NR1I2)
structure-prediction challenge, released openly with per-pose labels so the community can
reuse the compute already spent — and, we hope, crack the problem this data makes visible.
What's here
poses/<model>/<SID>.pdb — one best pose per (model, ligand). Protein chain A + ligand
(resname LIG). 15 models, up… See the full description on the dataset page: https://huggingface.co/datasets/xX-its-amit-Xx/pxr-structure-pose-pool.nomad_structure
Dataset Details
Dataset Description
A subset from NOMAD dataset, which is a database of DFT computed results of materials.
This subset consists of cif structures of around 0.5 million bulk stable materials and their geometric and structural information.
All materials in this dataset are modeled using Density Functional Theory using GGA functional.
Curated by:
License: CC BY 4.0
Dataset Sources
original data source
Citation
BibTeX:… See the full description on the dataset page: https://huggingface.co/datasets/jablonkagroup/nomad_structure.structured-file-audit-benchmark
Paper Data Release
This directory contains the benchmark dataset and evaluation scripts accompanying the ACL submission: the three data splits (SC-Flat, SC-Book, SC-Pro) and the code needed to score them.
Contents
datasets/
Benchmark data and per-task manifests for the three paper-facing splits.
datasets/sc_flat/data
SC-Flat is derived from DaBench, augmented with a replayable perturbation
injected into each task's input artifact. Each task… See the full description on the dataset page: https://huggingface.co/datasets/anonymous-structured-agent/structured-file-audit-benchmark.eu-ai-act-structured
EU AI Act, structured
Regulation (EU) 2024/1689 (the Artificial Intelligence Act) as tables: every article, recital, annex and definition, 677 obligations coded by actor, risk tier, application date and penalty basis, plus milestones, national competent authorities and fine tiers.
Built 2026-09-08 by SafeLegalAI (Cognesio LLP) from the official English texts served by the Publications Office of the European Union (Cellar): the consolidated text as of 27 July 2026 (CELEX… See the full description on the dataset page: https://huggingface.co/datasets/safelegalaidata/eu-ai-act-structured.uniref50-sorted-structure-tokenMLR_structured_trajectory
Reasoning Trajectories with Step-Level Annotations
This dataset contains structured reasoning trajectories introduced in (ICLR 2026) Enhancing Language Model Reasoning with Structured Multi-Level Modeling.
Compared with the full-trajectory release, this dataset is a cleaned and segmented version designed for research on hierarchical reasoning, trajectory supervision, and multi-step policy training. Each example contains the original prompt and response fields together with a… See the full description on the dataset page: https://huggingface.co/datasets/sxiong/MLR_structured_trajectory.PDB-Monomeric-Structure-ESMFold2
PDB-Monomeric-Structure-ESMFold2
Monomeric, protein-only PDB structure dataset for minimum ESMFold2-style
training. Each row is one eligible single-chain biological assembly with a
canonical amino-acid sequence input and all-atom protein labels in atom37.
Labels
atom37_positions: residue x 37 x 3 coordinates, with zeros for missing atoms.
atom37_mask: residue x 37 resolved-atom mask.
aatype, residue_index, auth_seq_id, insertion_code, residue_name, ca_mask.… See the full description on the dataset page: https://huggingface.co/datasets/Synthyra/PDB-Monomeric-Structure-ESMFold2.protein-secondary-structure-netsurfp
NetSurfP-3.0 Secondary-Structure Splits
This dataset repo contains NetSurfP-derived protein secondary-structure labels
converted for Protein-I-JEPA probe training and evaluation.
Source page: https://services.healthtech.dtu.dk/services/NetSurfP-3.0/5-Dataset.php
Profile: hhblits
Labels are Q3 per-residue labels:
H: helix
E: beta strand
C: coil/other
.: ignored residue for loss and accuracy
Splits
Split
Rows
JSONL
TSV
train
10348
train.jsonl
tsv/train.tsv… See the full description on the dataset page: https://huggingface.co/datasets/lamm-mit/protein-secondary-structure-netsurfp.Nemotron-Agents-Tools-and-Structured-Task-Execution-prompt-only
Agents, Tools and Structured Task Execution Prompt-Only
This dataset combines prompt-only datasets by capability theme for distillation experiments.
It contains 675,882 unique prompts from 808,884 raw rows;
133,002 exact canonical duplicates were removed.
Rows retain the canonical prompt-extraction columns and add source_repo_id for provenance.
Deduplication uses normalized system_prompt, prompt, tools, and schema_str, with the first
row in manifest order retained. Original… See the full description on the dataset page: https://huggingface.co/datasets/jamesdborin/Nemotron-Agents-Tools-and-Structured-Task-Execution-prompt-only.openclassgen-structured-v1
OpenClassGen Structured v1
Derived from mrahman2025/OpenClassGen (Rahman et al. 2025, arXiv:2504.15564).
License: CC BY 2.0 (same as upstream). Keep repository_name and file_path when redistributing.
Underlying GitHub repos may carry additional software licenses.
gold_code is upstream human_written_code.
We add parsed fields, body-span indices, and a Variant-3 prompt/target pair (v3_prompt_text / v3_target_text).
No unit tests. Splits are repository-disjoint (train /… See the full description on the dataset page: https://huggingface.co/datasets/dhruveshpatel/openclassgen-structured-v1.OMol25HiQBindstructured-vitalsMatPESvn-provinces-land-use-structure
Vietnam land use structure by locality
Vietnam land-use composition shares (%) of total natural area as of 31 December - agricultural production, forestry, special-use, and residential - for 2018 and 2020-2023. Geographic labels are English (UN/GSO style ASCII romanization). Tables cover provinces, regions and national total where present. Province names follow ar_core.vn_geo (historical 63-province system).
Figures
Hero
Comparison
Color key
Files… See the full description on the dataset page: https://huggingface.co/datasets/letrinhan/vn-provinces-land-use-structure.nmrexpputusan-structured-extraction
Putusan structured-extraction dataset
Built 2026-07-08T23:02:28+00:00 by notebooks/build_dataset.py (seed 3407).
Indonesian court-decision (putusan) extractive-structuring dataset over three
corpora (Anak, Asusila, TPPO). Each row is one model extraction of one source
document into 31 canonical sections of verbatim spans. Empty sections were
completed from sibling model extractions of the same document where available
(cross_model_fill_json records per-section donor provenance).… See the full description on the dataset page: https://huggingface.co/datasets/Haeryz/putusan-structured-extraction.rebar-structure
🧱 Rebar Structure
A corpus for restoring the heading hierarchy of Japanese documents from flat text and
for evaluating structure-aware chunking. Each record is a flattened document, its
gold heading tree (positions + depths), and a damaged variant simulating PDF/text
extraction.
Code: https://github.com/NagaYu/rebar
Model: https://huggingface.co/NagaYu/rebar-heading-classifier
Demo (Space): https://huggingface.co/spaces/NagaYu/rebar
Why it exists
The same… See the full description on the dataset page: https://huggingface.co/datasets/NagaYu/rebar-structure.economic-index-structured
Economic Index - Structured & Cleaned Dataset
This dataset is a cleaned, structured version of the Anthropic Economic Index, organized for easy integration with persona-based scenario generation pipelines.
Dataset Description
The Anthropic Economic Index tracks how people use Claude AI for work-related tasks. This structured version extracts and organizes the key information into easy-to-use tables.
Original Data Period: August 4-11, 2025Source: Anthropic Economic… See the full description on the dataset page: https://huggingface.co/datasets/seeaman/economic-index-structured.MassSpecGym
MassSpecGym provides a dataset and benchmark for the discovery and identification of new molecules from MS/MS spectra. The provided challenges abstract the process of scientific discovery of new molecules from biological and environmental samples into well-defined machine learning problems.
Please refer to the MassSpecGym GitHub page and the paper for details.
AlexMP20toricblm-dataset-state-toricblm-structure-priority-balanced-3day-20260709t185034z-epoch-001
ToricBLM dataset state: toricblm-structure-priority-balanced-3day-20260709T185034Z epoch 001
This dataset repo records the exact local training-data state visible to the dynamic epoch launcher.
It intentionally stores manifests and audit records rather than duplicating large Parquet shards.
Special checkpoint: toricblm-structure-priority-balanced-3day-20260709T185034Z_epoch_001_special_structure_current_step_002000.pt
Checkpoint repo: AmelieSchreiber/ToricGT_160M_FoT
Curriculum… See the full description on the dataset page: https://huggingface.co/datasets/AmelieSchreiber/toricblm-dataset-state-toricblm-structure-priority-balanced-3day-20260709t185034z-epoch-001.repro-on-structured-state-space-duality-traces
Agent traces
Agent sessions published from a Trackio Logbook.
scp-foundation-structuredtoricblm-dataset-state-toricblm-structure-priority-balanced-3day-20260709t185034z-epoch-002
ToricBLM dataset state: toricblm-structure-priority-balanced-3day-20260709T185034Z epoch 002
This dataset repo records the exact local training-data state visible to the dynamic epoch launcher.
It intentionally stores manifests and audit records rather than duplicating large Parquet shards.
Special checkpoint: toricblm-structure-priority-balanced-3day-20260709T185034Z_epoch_002_special_structure_delta_step_002750.pt
Checkpoint repo: AmelieSchreiber/ToricGT_160M_FoT
Curriculum… See the full description on the dataset page: https://huggingface.co/datasets/AmelieSchreiber/toricblm-dataset-state-toricblm-structure-priority-balanced-3day-20260709t185034z-epoch-002.administrative-structure-912fd9
administrative-structure-912fd9
Synthetic products test data: 36 rows in data.csv.
All values are randomly generated fictional examples, not real observations, products, or user activity. Intended only for CSV loading and pipeline tests; not suitable for scientific or business conclusions. Columns are sampled independently and do not model real-world correlations.
Fields
sample_id: random identifier for this generated sample.
row_id: sequential row number… See the full description on the dataset page: https://huggingface.co/datasets/barbara-ai/administrative-structure-912fd9.sample-structure-dataset
Sample dataset for PETAL model
This dataset is a sample dataset to test the functionalities of the PETAL model (encoder and decoder).
It is based on CASP15 dataset, see
https://predictioncenter.org/casp15/
https://github.com/Bhattacharya-Lab/CASP15
The registries folder contains the registry of CASP15 dataset (a csv file with filename, pdb_id, etc.)
structure184-five-method-cofolding
Structure184 five-method PXR cofolding dataset
This repository contains 92,000 PXR–ligand cofolded models:
184 ligands
20 seed positions
5 samples per seed
Boltz2, Chai-1, ESMFold2, OpenFold3, and Protenix
18,400 models per method
Models use the governed prepared top solution-state ligand representation. Coordinates are harmonized to the 1NRL PXR frame using a 162-Cα core. The original generated coordinates are preserved up to that rigid alignment.
Repository… See the full description on the dataset page: https://huggingface.co/datasets/dargason/structure184-five-method-cofolding.stage3-synthetic-structured-retrieval
Stage 3 Synthetic Structured-Retrieval Agents
Native search-tool trajectories generated by
Qwen/Qwen3-235B-A22B-Instruct-2507 for LCLM Stage-3 agent post-training.
The default config contains only traces that passed programmatic evidence and
answer verification.
Harvest
Accepted traces: 82
Native search calls: 179
Compressed tool-observation traces: 41
Uncompressed traces: 41
Task-ID overlap between pilot and collection batch: 0
Family counts are 20 latest-state… See the full description on the dataset page: https://huggingface.co/datasets/leonli66/stage3-synthetic-structured-retrieval.medical-structure-f19c39
medical-structure-f19c39
Synthetic weather test data: 39 rows in data.csv.
All values are randomly generated fictional examples, not real observations, products, or user activity. Intended only for CSV loading and pipeline tests; not suitable for scientific or business conclusions. Columns are sampled independently and do not model real-world correlations.
Fields
sample_id: random identifier for this generated sample.
row_id: sequential row number starting at 1.… See the full description on the dataset page: https://huggingface.co/datasets/jihye54/medical-structure-f19c39.