Alternative data datasets
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Automated language processing system that mines corporate disclosures for causal statements and forward-looking commentary.
clinical-trials-v2 is a Hugging Face dataset published by chemNLP containing processed ClinicalTrials.gov records stored in Parquet. It exposes three columns, filename, xml, and text, drawn from the official clinical-study XML schema.
Refined surgical records with documented bias review, released under public domain terms and available through a 30-day evaluation access.
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Complete filing metadata and URLs for 82,000+ annual report filings (July-Dec)
Dataset card entry for "AIPD_nlp_granted_claims" with additional details required.
Applies natural language processing to earnings call transcripts in order to surface KPI-related signals such as risk factors, strategic pivots, and pricing pressures.
Keyword frequencies, LDA topics & store counts from SEC EDGAR (FY1996-2025)
Stock-symbol-linked customer feedback and earnings call texts are processed with natural language processing to derive sentiment indicators, helping assess ESG exposure and brand perception.
Multi-modal dataset: Bridging GAAP accounting and LLM-powered NLP for the S&P 50
62K+ Global Sanctions: Individuals, Companies, Vessels & Crypto Wallets
Categorized Roles with Detailed Descriptions, Benefits, and requirements
Text analytics that pulls sentiment signals and event markers from regulatory filings, earnings call transcripts and news articles.
A Snapshot Into the Current Job Market
Quarterly Earnings Call Transcripts for 10 NASDAQ companies from 2016-2020
Lexicon based NLP solution analyses transcripts to identify consumer financial difficulty, potential vulnerability and forgetfulness.
Fed · ECB · BoE · RBI Policy Rates · CPI Inflation · FRED + World Bank
Google Store Reviews of Tiktok NONLITE/ FULLVERSION application
Google Store Reviews of Tiktok LITE application
A reconstructed EDGAR corpus of company filings in English (Apache 2.0): a large sample of annual and quarterly reports and exhibits, hundreds of thousands of records. Comparable to other public SEC text sets and a solid starting point for filings-based research.
A collection of earnings call transcripts covering S&P 500 firms and other U.S. large-cap companies across the years 2005 through 2025, intended for financial analysis, NLP modeling, and sentiment research.
Monthly petabyte-scale crawls of the open web published as WARC segments with a CDX index service for targeted retrieval: raw material for language models, market mapping and large-scale entity extraction.
Bilingual open Q&A dataset on Swedish construction law, tax, permits, contracts
Earnings Call Transcripts of META (formerly Facebook) 2018-2025
Daily scraped news from 95+ major Bangladeshi newspapers (English & Bangla)
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.
S&P 500 earnings-call transcripts preprocessed into optimized Parquet, tens of thousands of calls (MIT). Ready for sentiment, QA and summarization research on the large-cap earnings season.
Full text and metadata of all opinions written by SCOTUS justices through 2020
Text of IPO filings, including S-1 and related prospectuses, in JSON: hundreds of thousands of records in English (CC BY 4.0). Pre-IPO disclosure text is one of the few information sources available ahead of a listing.
A Comprehensive Dataset of Egyptian Residential Properties
1,000 recent ML job descriptions from US tech companies
Indonesian Energy News with Multidimensional Scoring and Regulatory Tags
10-K filings for S&P 500 companies retrieved from EDGAR, stored as Parquet with the filing text attached (MIT). A focused corpus for the large-cap annual disclosure cycle: risk factors, MD&A and segment detail for every S&P 500 name.
This dataset contains job postings scraped from LinkedIn
Earnings Call LLM Insights 📚 Read the Full Story: For a deep dive into the methodology, the wildest moments we found, and key takeaways, check out the blog post:KnowTrend.ai: Auto-Grading Ten Years of Earnings Calls for Prescience and Delusion This dataset contains LLM-generated analysis of ~70,000+ earnings call transcripts. The analysis was performed using Kimi k2-0905-preview, focusing on extra
What the world is reading and talking about - 6,960 rows, 8 languages
Complete filing metadata and URLs for 8 core SEC forms across Q1-Q4 2024
Complete filing metadata and URLs for all 8-K material event disclosures in Q4
Complete filing metadata and URLs for all insider transaction filings
Retail product matching workflow data for AI catalog and pricing teams
Visual product matching workflow data for e-commerce AI teams
Temu pricing and SKU variant sample for competitor price intelligence
Dataset of 1500+ AI tools including LLMs, image, video, and coding AI
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.
NLP-derived sentiment ratings and behavioral indicators extracted from corporate transcripts.
Paid research study listings for NLP, market research, and analytics
Covering vast data science positions, web scraped as of Nov 20, 2022