datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
sec-contracts-financial-extraction-instructions
S&P 500 SEC Financial Extraction Instructions
Dataset Summary
7,683 instruction-tuning examples for training LLMs to extract structured financial data from SEC filings. Covers two filing types across S&P 500 companies:
Split
Examples
Filing Type
Description
train
3,430
Exhibit 10 + DEF 14A
Positive examples with validated outputs
corrective
4,253
Exhibit 10 + DEF 14A
Corrective, rescued, and negative examples
Exhibit 10 — Material Contracts (2… See the full description on the dataset page: https://huggingface.co/datasets/TheTokenFactory/sec-contracts-financial-extraction-instructions.tool-output-extraction-swebench
Tool Output Extraction Dataset
Paper | Code
Training data for squeez — a small model that prunes verbose coding agent tool output to only the evidence the agent needs next.
Task
Task-conditioned context pruning of a single tool observation for coding agents.
Given a focused extraction query and one verbose tool output, return the smallest verbatim evidence block(s) the agent should read next.
The model copies lines from the tool output — it never rewrites, summarizes, or… See the full description on the dataset page: https://huggingface.co/datasets/KRLabsOrg/tool-output-extraction-swebench.task181_outcome_extraction
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task181_outcome_extraction
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks}… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task181_outcome_extraction.json_data_extraction
Diverse Restricted JSON Data Extraction
Curated by: The paraloq analytics team.
Uses
Benchmark restricted JSON data extraction (text + JSON schema -> JSON instance)
Fine-Tune data extraction model (text + JSON schema -> JSON instance)
Fine-Tune JSON schema Retrieval model (text -> retriever -> most adequate JSON schema)
Out-of-Scope Use
Intended for research purposes only.
Dataset Structure
The data comes with the following fields:
title: The… See the full description on the dataset page: https://huggingface.co/datasets/paraloq/json_data_extraction.danish-extraction-v1
danish-extraction-v1
Danish information-extraction rows over real prose, where the schema is
proposed per passage rather than fixed. Built from
danish-foundation-models/danish-dynaword
by scripts/gen_extraction_da.py.
Each source passage got its own field set: an LLM proposed 3-6 fields for that
text without seeing any values, then filled them in a separate turn. Roughly a
quarter of proposed fields come back empty, which are genuine abstention
targets rather than annotation… See the full description on the dataset page: https://huggingface.co/datasets/jensjepsen/danish-extraction-v1.resume-json-extraction-5k
Dataset Card for resume-json-extraction-5k
Dataset Description
This dataset contains 4,879 resume examples formatted for fine-tuning language models to extract structured JSON information from resume text.
Dataset Summary
The dataset consists of resume text paired with structured JSON outputs containing:
Job titles (current and previous)
Companies (current and previous)
Years of experience
Seniority level
Primary domain and industries
Core and secondary skills… See the full description on the dataset page: https://huggingface.co/datasets/sandeeppanem/resume-json-extraction-5k.task1448_disease_entity_extraction_ncbi_dataset
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1448_disease_entity_extraction_ncbi_dataset
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task1448_disease_entity_extraction_ncbi_dataset.donto-qwen3.8-27b-predicate-extraction-data
Donto-Qwen3.8 Predicate Extraction Data V15
This repository is the complete public data and evidence companion to
ajaxdavis/donto-qwen3.8-27b-predicate-extractor.
It contains the canonical V15 extraction training/validation corpus, the
validator corpus, the optional D1-repeat ablation, the once-sealed 100-document
graph-first gold suite, exact tool schemas, generator/evaluator source, hashes,
and audit reports.
Why this dataset exists
Donto is designed for… See the full description on the dataset page: https://huggingface.co/datasets/ajaxdavis/donto-qwen3.8-27b-predicate-extraction-data.extraction-wiki-ja
extraction-wiki-ja
This repository provides an instruction-tuning dataset developed by LLM-jp, a collaborative project launched in Japan.
This is a Japanese instruction-tuning dataset tailored for information extraction and structuring from Japanese Wikipedia text.
The dataset consists of instruction–response pairs automatically generated from Japanese Wikipedia articles. Instructions are created by prompting Qwen/Qwen2.5-32B-Instruct with passages from Wikipedia, and the… See the full description on the dataset page: https://huggingface.co/datasets/llm-jp/extraction-wiki-ja.task1486_cell_extraction_anem_dataset
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1486_cell_extraction_anem_dataset
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks}… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task1486_cell_extraction_anem_dataset.sec-contracts-corrective-extraction
S&P 500 SEC Financial Extractions - Corrective Dataset
Dataset Summary
4,253 corrective instruction-tuning examples designed to teach LLMs what the base model gets wrong when extracting structured financial data from SEC filings. Covers both Exhibit 10 material contracts and DEF 14A proxy statements from S&P 500 companies.
This is a companion to TheTokenFactory/sec-contracts-financial-extraction-instructions, which contains the positive training examples.
Pipeline… See the full description on the dataset page: https://huggingface.co/datasets/TheTokenFactory/sec-contracts-corrective-extraction.task1510_evalution_relation_extraction
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1510_evalution_relation_extraction
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task1510_evalution_relation_extraction.funding-entity-extraction-dataset-mix
Funding Entity Extraction Dataset Mix
Training and evaluation corpus for funding-entity extraction from full text. This dataset is the data mix used to fine-tune cometadata/funding-extraction-llama-3.1-8b-instruct-artifact-data-mix-grpo-mixed-reward on top of meta-llama/Llama-3.1-8B-Instruct in two stages: SFT on the mix described below, followed by GRPO with a hierarchical F0.5 reward.
Loading the dataset
from datasets import load_dataset
# Default config (degraded… See the full description on the dataset page: https://huggingface.co/datasets/cometadata/funding-entity-extraction-dataset-mix.task1447_drug_extraction_ade
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1447_drug_extraction_ade
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks}… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task1447_drug_extraction_ade.ecommerce-search-extraction
Ionio E-commerce Search Query Extraction
Built with: simula — schema-driven synthetic data generation with auditable taxonomy lineage.
An English synthetic dataset for training and evaluating systems that translate natural-language
shopping requests into narrow, atomic, database-queryable JSON. It contains 10,985 accepted
examples from a 13,000-attempt generation run. No accepted rows were trimmed from this release.
Each example pairs a realistic typed or spoken shopper query… See the full description on the dataset page: https://huggingface.co/datasets/Ionio-ai/ecommerce-search-extraction.task1449_disease_entity_extraction_bc5cdr_dataset
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1449_disease_entity_extraction_bc5cdr_dataset
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task1449_disease_entity_extraction_bc5cdr_dataset.task1452_location_entity_extraction_btc_corpus
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1452_location_entity_extraction_btc_corpus
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task1452_location_entity_extraction_btc_corpus.task1453_person_entity_extraction_btc_corpus
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1453_person_entity_extraction_btc_corpus
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task1453_person_entity_extraction_btc_corpus.task1479_organization_entity_extraction_btc_corpus
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1479_organization_entity_extraction_btc_corpus
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task1479_organization_entity_extraction_btc_corpus.itemset-extraction-v2
Itemset Extraction Training Data v2
3-phase training dataset for fine-tuning LLMs to extract frequent itemsets from CSV transaction data.
Overview
Config
Purpose
Train
Val
Format
sft
SFT with Chain-of-Thought
245
27
messages (ChatML)
dpo
DPO with real LLM failures
546
60
prompt / chosen / rejected
grpo
GRPO with Apriori rewards
245
27
prompt / ground_truth
Training Pipeline (v2 — council-corrected)
Phase 1: SFT-CoT (5 epochs) → Teach… See the full description on the dataset page: https://huggingface.co/datasets/OliverSlivka/itemset-extraction-v2.task1451_drug_dose_extraction
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1451_drug_dose_extraction
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks}… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task1451_drug_dose_extraction.task1483_chemical_extraction_chemprot_dataset
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1483_chemical_extraction_chemprot_dataset
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task1483_chemical_extraction_chemprot_dataset.task1487_organism_substance_extraction_anem_dataset
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1487_organism_substance_extraction_anem_dataset
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task1487_organism_substance_extraction_anem_dataset.keyphrase_extraction_russianA dataset for extracting or generating keywords for scientific texts in Russian. It contains annotations of scientific articles from four domains: mathematics and computer science (a fragment of the Keyphrases CS&Math Russian dataset), history, linguistics, and medicine. For more details about the dataset please refer the original paper: https://arxiv.org/abs/2409.10640
Dataset Structure
abstract, an abstract in a string format;
keywords, a list of keyphrases provided by… See the full description on the dataset page: https://huggingface.co/datasets/aglazkova/keyphrase_extraction_russian.json-extraction
Rob Dixon's JSON Extraction Dataset
A synthetic dataset for training JSON extraction models, generated using Claude 3 Haiku.
Dataset Overview
This dataset contains paired examples of:
Instructions: Natural language task descriptions asking to extract information
Text documents: Source content containing information to extract
JSON outputs: Structured data extracted from the text
The dataset is designed for training smaller models on constrained context lengths, with… See the full description on the dataset page: https://huggingface.co/datasets/robdixon/json-extraction.task1482_gene_extraction_chemprot_dataset
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1482_gene_extraction_chemprot_dataset
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task1482_gene_extraction_chemprot_dataset.ru-invoice-extraction-benchmark
Набор для извлечения данных из русскоязычных счетов
50 синтетических русскоязычных счетов с эталонными ответами в JSON. Набор не привязан к определённой модели и предназначен для проверки систем извлечения структурированных данных из текста.
Разделы
Раздел
Документы
Назначение
development
30
разработка шаблонов и примеров
validation
10
выбор настроек
test
10
итоговая оценка
Раздел test зафиксирован для версии 1. Его нельзя использовать для… See the full description on the dataset page: https://huggingface.co/datasets/necrasov-ilya/ru-invoice-extraction-benchmark.putusan-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.putusan-windowed-extraction
Putusan windowed line-anchored extraction dataset (Plan B)
Built 2026-07-09T13:01:27+00:00 by notebooks/build_windowed_dataset.py from the
legacy Haeryz/putusan-structured-extraction dataset (same documents, same
leakage-safe purpose/split assignment, seed 3407).
Each legacy document row (~34K tokens median — longer than a 32K context)
is re-expressed as overlapping line-numbered windows of <= 6400
content tokens (measured with Qwen/Qwen3.5-9B; fits a
max_seq_length of 8192 with… See the full description on the dataset page: https://huggingface.co/datasets/Haeryz/putusan-windowed-extraction.funding-extraction-artifact-data-mix-grpo-mixed-reward
Funding Extraction Training Data
Training, evaluation, and test data for fine-tuning LLMs to extract structured funding metadata (funder names, award IDs, funding schemes, award titles) from academic paper funding statements.
Dataset Structure
data/
├── full/ # Complete unsplit dataset
│ ├── train.jsonl # 5,264 real Crossref funding statements
│ └── synthetic.jsonl # 10,124 LLM-generated funding statements
├── sft/… See the full description on the dataset page: https://huggingface.co/datasets/cometadata/funding-extraction-artifact-data-mix-grpo-mixed-reward.