Alternative data datasets
Browse by provider, category, marketplace, access, delivery and license
View source information and access options.
Numerical sentiment indicators derived from financial press coverage and social platforms to gauge mood toward publicly listed companies worldwide.
View source information and access options.
View source information and access options.
Opinion-scoring system that evaluates conventional news outlets, blog content, and social networks to produce equity-oriented sentiment signals.
An intelligent research assistant for searching across filings, transcripts, broker research and news, built to support competitive intelligence and thesis validation.
Text analytics that pulls sentiment signals and event markers from regulatory filings, earnings call transcripts and news articles.
View source information and access options.
Quarterly Earnings Call Transcripts for 10 NASDAQ companies from 2016-2020
Real-time and historical election vote counts delivered alongside structured AP news archives.
A complete dataset with all Article V convention applications, 1789-2024.
Leverage a LLM to extract data from financial reporting from 10-k, 10-Q, news and events, etc
Indicative by mParticle is a self-service analytics platform designed for business users to understand the customer journey in order to drive conversion, increase engagement, and retain customers.
Lexicon based NLP solution analyses transcripts to identify consumer financial difficulty, potential vulnerability and forgetfulness.
Programmatic feed of capital markets reporting covering analyst views, options flow and early trading session headlines.
This dataset is a filtered version of https://huggingface.co/datasets/vincha77/filtered_yelp_restaurant_reviews
Recurring projections of Tesla output built by decoding vehicle identification numbers in NHTSA registration data.
S&P 500 earnings-call transcripts in Parquet under MIT, tens of thousands of calls. Independently compiled and comparable to other public transcript corpora for sentiment and tone work.
View source information and access options.
View source information and access options.
View source information and access options.
Research-vendor language analytics offering sentiment indices and textual signals aimed at institutional investment strategies.
Automated language processing system that mines corporate disclosures for causal statements and forward-looking commentary.
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.
Public-safe distribution bundle from a local r19 counterexample resolution review of arXiv patents using a language model, containing review-related outputs, manifests, checksums, and provenance receipts, but excluding the original arXiv PDFs and any expert validation.
A collection of restaurant reviews was assembled in 2019 through Python-based web scraping focused on Dutch establishments, capturing both visit experiences and feature-related information. It is organized in the DatasetDict format with three splits: 116,693 training records, 14,587 test records, and 14,587 validation records.
Dataset capturing public mood and opinions shared on social platforms.
Dataset capturing public mood and opinions shared on social platforms.
View source information and access options.
View source information and access options.
A labeled corpus used to teach machine learning models how to detect sentiment and emotional cues in written language.
View source information and access options.
Computed metrics include news-based sentiment scores and the degree to which individual companies track commodity futures performance.
Tone indicators extracted from onshore research publications originating in China.
Earnings Call Transcripts of META (formerly Facebook) 2018-2025
A vetted pool of roughly seven hundred thousand articles drawn from six flagship periodicals, supplied as Regulation Ready AI training material with documented provenance and bias review.
Social listening across numerous languages producing opinion and topic indicators from global online conversations.
Daily scraped news from 95+ major Bangladeshi newspapers (English & Bangla)
Informacion de apartamentos en Bogota extraidos mediante web scraping
Continuous event monitoring synthesized from large-scale web and blog content with per-entity event streams.
A proprietary mood metric extracted from transcripts of US corporate earnings calls.
Earnings call transcripts, news articles, and sector or industry company information designed to support AI and large language model workflows.
Digital footprint, social engagement metrics and financial figures tracked for a large roster of fashion and luxury labels.
View source information and access options.
View source information and access options.
Archive of earnings call transcripts for more than 4,500 firms, beginning in 2005.
20 Years of Quarterly Earning Call Transcripts of Apple (2005-2025)
View source information and access options.
GDELT, a long-running global news monitoring effort tracking events, tone and geographic references with fifteen-minute refresh cycles.
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.
Live news search and analytics platform that automatically identifies entities and labels events as they occur.
Backend system that processes raw, unformatted sources through tailored pipelines to produce clean, structured data.
View source information and access options.
Earnings call transcripts for S&P 500 and other large U.S. companies covering 2005 through 2025, useful for financial research, natural language processing, and sentiment analysis.
Analytics service that converts global news streams into event signals and assigns impact scores to corporate and macroeconomic developments.
View source information and access options.
View source information and access options.
View source information and access options.
Financial content hub offering market schedules, price data, and real-time news updates.
A dataset card entry for restaurant reviews that flags the need for additional information beyond what is currently provided.