Alternative data datasets
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Material contracts and agreements extracted from EDGAR filings by the KL3M project: debt, M&A, employment and license agreements, millions of documents in Parquet. Contract language is a niche but real input for M&A, financing and litigation-event signals.
An open, layout-preserving conversion of U.S. SEC EDGAR filings into MultiMarkdown format covers approximately 3.4 million documents submitted between January 2022 and June 2025, designed for long-context language modeling, financial reasoning, and document analysis.
An end-to-end, customized solution to democratize quick and fast access to valuable data across various data sources, such as emails, documents, invoices, delivery notes, company knowledge-base sources (e.g. Confluence, Sharepoint and many others.), but also complex unstructured documents, such as drawings, hand-written notes, etc. Crayon’s AWS Gen AI Professional Services equips businesses with k
Disclosure documents submitted by institutional investment firms that manage portfolios exceeding $100 million under Section 13(f).
Automated language processing system that mines corporate disclosures for causal statements and forward-looking commentary.
DAPFAM patent documents, a curated sample of US patents in Parquet with text for retrieval and classification tasks (CC BY-NC-SA 4.0). Scopus of claim text for building patent-similarity and technology-mapping models.
A curated, well-organized collection of documents formatted for straightforward ingestion into retrieval-augmented generation systems.
A corpus of SEC EDGAR filings in English (Apache 2.0), roughly a few hundred thousand company documents including annual and quarterly reports and exhibits. The filings text is organized for model pretraining and retrieval, but the same documents are the raw material for filings-based and disclosure signals.
Data from legally mandated personal finance disclosure documents
Dataset Card for clinicaltrials/2017 The clinicaltrials/2017 dataset, provided by the ir-datasets package. For more information about the dataset, see the documentation. Data This dataset provides: docs (documents, i.e., the corpus); count=241,006 This dataset is used by: clinicaltrials_2017_trec-pm-2017, clinicaltrials_2017_trec-pm-2018 Usage from datasets import load_dataset docs = load_dataset(
The Patent Legal IR GraphRAG release follows the Publicus retrieval format, providing dense corpus shards, BM25 documents with CID-keyed length and entry metadata, and BM25 postings arranged for inverted-index use.
Machine-readable extraction of financial and operating figures drawn from publicly filed corporate documents.
Get a data sample: Market Inside provides 190+ countries Cargo Bill of Lading data to Unlock trade insights of Cargo movements from BL Documents reported by freight forwarders and shipping companies involved.
Clinical-trial protocol documents from Parexel, tens of thousands of studies. Protocol text, covering inclusion criteria, endpoints and timelines, is a leading indicator for enrollment pace and pipeline risk.
Patent_FR_US_Merge_Radix_65536 is a Hugging Face dataset by publisher PhysiQuanty that merges French and US patent documents into a single text corpus. It is distributed in Parquet format and is tagged with an Apache-2.0 license, though the README provides no further description.
Search filings on SEC EDGAR using ticker symbols, CIK identifiers, SIC industry codes, or free-text queries, returning a single structured row per filing that includes company classification, period dates, direct links to source documents, and optional XBRL financial data. The dataset contains 2,691 rows across 27 fields, supported by 64 collector runs, with the latest observation dated 2026-08-04, and covers 771 entities, browsable at https://reapx.dev/data/sec-edgar-scraper/.
An English-language NLP corpus of cleaned earnings call transcripts gathered from public investor-relations pages, sized between 10,000 and 100,000 documents for financial analysis and LLM work.
10-K annual filings from EDGAR in Parquet, tens of thousands of documents. The standard annual-disclosure corpus for fundamentals, risk-factor and management-discussion analysis.
patent-spec-xml is a dataset of patent specification documents in XML format, published by Yehoon and licensed under unspecified terms. It is catalogued on the alternative-data directory as a public-records resource.