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.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.legalbench_consumer_contracts_qa
LegalBenchConsumerContractsQA
An MTEB dataset
Massive Text Embedding Benchmark
The dataset includes questions and answers related to contracts.
Task category
t2t
Domains
Legal, Written
Reference
https://huggingface.co/datasets/nguha/legalbench/viewer/consumer_contracts_qa
How to evaluate on this task
You can evaluate an embedding model on this dataset using the following code:
import mteb
task = mteb.get_tasks(["LegalBenchConsumerContractsQA"])… See the full description on the dataset page: https://huggingface.co/datasets/mteb/legalbench_consumer_contracts_qa.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.slither-audited-smart-contractsThis dataset contains source code and deployed bytecode for Solidity Smart Contracts that have been verified on Etherscan.io, along with a classification of their vulnerabilities according to the Slither static analysis framework.legal_contractsContracts-Ethereum-Cryptocurrency-Data
Contracts-Ethereum-Cryptocurrency-Data
Hive-partitioned Parquet export of BlockDB contracts (Ethereum).
Load
from datasets import load_dataset
ds = load_dataset("RBudzynski/Contracts-Ethereum-Cryptocurrency-Data", split="train")
Files live under data/year=YYYY/month=MM/part-NNNN.parquet.
Range: 2015-08 .. 2026-06 (UTC calendar months).
Schema
column
type
block_timestamp
timestamp
block_number
int64
tx_index
int32
trace_address… See the full description on the dataset page: https://huggingface.co/datasets/RBudzynski/Contracts-Ethereum-Cryptocurrency-Data.environment-contracts
geodesic-research/environment-contracts
Local-pipeline snapshot published via --push-from-local (GH #52). All configs below were built locally (Hub-independent) and uploaded in a single commit at one snapshot revision.
Pipeline run params hash: dd13a8843fce63fefa4e70c743f85c6cba30904523b6097a96bfe98100c298eb
Configs in this snapshot: conversation
Per-run provenance: _pipeline_state/dd13a8843fce63fefa4e70c743f85c6cba30904523b6097a96bfe98100c298eb.json (in this repo) and each… See the full description on the dataset page: https://huggingface.co/datasets/geodesic-research/environment-contracts.legal_contractsThis new dataset is designed to solve this great NLP task and is crafted with a lot of care.sec-material-contracts-qa-splittedMixed and filtered version of chenghao/sec-material-contracts-qa and jordyvl/DUDE_subset_100val.
us_contractsevm_contracts
EVM Contracts
Description
EVMC (Ethereum Virtual Machine Contracts) is a collection of smart contracts from the ETH blockchain.
In particular, each sample holds the creation and runtime bytecodes.
When available, the sources are also included.
Metadata
homepage: https://github.com/apehex/feedblocks
version: 1.0.1
HEX Dataset
Config
Split
Size
Samples
Blocks
'hex-ethereum'
'train'
2.8 GB
1,294,247
19,493,000 - 20,292,000
'hex-ethereum'… See the full description on the dataset page: https://huggingface.co/datasets/apehex/evm_contracts.us-government-contracts
US Federal Contract Awards
Federal contract actions paid to publicly traded companies — and, for each one,
the day the public could first see it, which for the Department of Defense
is three months after the contract was signed.
12 371 350 contract transactions · 9 552 299 awards · 1 694 listed companies ·
FY2005 to today · $4.41tn obligated
70% of those rows are the Department of Defense and the Army Corps of
Engineers, and not one of them is dated less than ninety-two days… See the full description on the dataset page: https://huggingface.co/datasets/ZipLime/us-government-contracts.usaspending_2024_all_contractssec-contracts-2015-2025
SEC Contracts 2015–2025
Mini corpus of contract text extracted from SEC filings (EDGAR). Includes clause‑level rows with metadata for classification and QA experiments.
flattened_contractslegal-contractssec-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.supply_chain_contracts_dataset_smallreinsurance-contracts-classificationThis dataset contains the full text and the classification of 6671 reinsurance-related documents extracted from SEC filings. The documents include reinsurance contracts, but also ancillary documents, such as amendments, endorsements, extensions, and other documents referring to reinsurance agreement.
The documents have been classified by three language models: qwen3-235b-a22b-2507, gpt-oss-120b and gemini-2.5-flash-lite. Manual inspection of the classification results reveals that qwen3 is… See the full description on the dataset page: https://huggingface.co/datasets/andreaaltomani/reinsurance-contracts-classification.us_contractsContractssmart-contracts-instructions
Smart Contracts Instructions
A dataset containing 6,003 GPT-generated human instruction and Solidity source code data pairs.
GPT models used to make this data are GPT-3.5 turbo, GPT-3.5 turbo 16k context, and GPT-4. Solidity source codes are used from mwritescode's Slither Audited Smart Contracts (https://huggingface.co/datasets/mwritescode/slither-audited-smart-contracts).
Distributions of the GPT models used to make this dataset:
GPT-3.5 Turbo: 5,276
GPT-3.5 Turbo 16k Context:… See the full description on the dataset page: https://huggingface.co/datasets/AlfredPros/smart-contracts-instructions.llm-eval-legalbench-consumer-contractsmleb-consumer-contracts-qa
Consumer Contracts QA (MLEB version)
This is the version of the Consumer Contracts QA evaluation dataset used in the Massive Legal Embeddings Benchmark (MLEB) by Isaacus.
This dataset tests the ability of information retrieval models to retrieve relevant contractual clauses to questions about contracts.
Structure 🗂️
As per the MTEB information retrieval dataset format, this dataset comprises three splits, default, corpus, and queries.
The default split pairs… See the full description on the dataset page: https://huggingface.co/datasets/isaacus/mleb-consumer-contracts-qa.contracts-extraction-instruction-llm-experiments
Dataset Card for "contracts-extraction-instruction-llm-experiments"
More Information needed
government_contracts
Government Contracts
Data Notice: This dataset provides academic research access with a 6-month data lag.
For real-time data access, please visit sov.ai to subscribe.
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from datasets import load_dataset
df_contracts = load_dataset("sovai/government_contracts", split="train").to_pandas().set_index(["ticker","date"])
Data arrives late Friday night 11 pm - 12 am after market close… See the full description on the dataset page: https://huggingface.co/datasets/sovai/government_contracts.production-data-contracts
SHAR Production Data Contracts
Ten executable JSON Schema 2020-12 contracts with valid and invalid synthetic fixtures by SHAR Production — https://sharprod.com/
Dataset records and fixtures are CC BY 4.0. Source code and documentation are MIT. No client data or direct personal contacts are included. Codex assisted implementation and validation; SHAR Production is the accountable publisher.
uk_ner_contracts
Dataset Description
Legal Contracts Dataset for Training NER Model
This repository contains a specially curated dataset consisting of legal contracts. It is designed for the purpose of training a Named Entity Recognition (NER) model, with the aim to recognize and classify four types of entities in the text:
Contract Type,
Clause Title,
Clause Number,
Definition Title
The dataset includes a broad variety of legal contracts, covering diverse domains such as employment, real estate… See the full description on the dataset page: https://huggingface.co/datasets/lawinsider/uk_ner_contracts.plain_english_contracts_summarization
Dataset Card for PlainEnglishContractsSummarization
Dataset Summary
[More Information Needed]
Supported Tasks and Leaderboards
[More Information Needed]
Languages
[More Information Needed]
Dataset Structure
Data Instances
[More Information Needed]
Data Fields
[More Information Needed]
Data Splits
[More Information Needed]
Dataset Creation
Curation Rationale
[More Information Needed]… See the full description on the dataset page: https://huggingface.co/datasets/joelniklaus/plain_english_contracts_summarization.