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contracts

TheTokenFactory /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.texttext-generation10K<n<100K1 likes3.2k downloads6mo agoHugging Facechenghao /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.texttext-generation1M<n<10M3 likes1.4k downloads1y agoHugging Facemteb /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.texttext-retrievaln<1K1 likes1.2k downloads1y agoHugging Facechenghao /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.tabularvisual-question-answeringn<1K3 likes930 downloads2y agoHugging Facemwritescode /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.texttext-classification100K<n<1M61 likes738 downloads4y agoHugging Faceginntonicfun /cuad-pdf-contractsThis dataset contains the contract pdf files from https://huggingface.co/datasets/theatticusproject/cuad Files present in https://huggingface.co/datasets/theatticusproject/cuad/tree/main/CUAD_v1/full_contract_pdf are extracted and then uploaded in single bucket without folder heiraarchies. About CUAD: CONTRACT UNDERSTANDING ATTICUS DATASET Contract Understanding Atticus Dataset (CUAD) v1 is a corpus of more than 13,000 labels in 510 commercial legal contracts that have been manually labeled… See the full description on the dataset page: https://huggingface.co/datasets/ginntonicfun/cuad-pdf-contracts.documentn<1K0 likes621 downloads4mo agoHugging Face