Alternative data datasets
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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.
Weekly purchase quantities of over 800 products over 52 weeks
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A labeled corpus used to teach machine learning models how to detect sentiment and emotional cues in written language.
An early-warning source covering worldwide commodity markets.
An early indicator of disruptions affecting international supply chains.
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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.
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.
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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)
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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.
Data for the fifth ranking of AI 50 by Forbes (2023)
Backend system that processes raw, unformatted sources through tailored pipelines to produce clean, structured data.
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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.
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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.
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Insights generated from text-based employee evaluations posted on OpenWork, a Japan-based careers platform.
Restaurant_Reviews.tsv is a small text corpus of customer restaurant reviews paired with a binary sentiment label. It is published on the Hugging Face Hub by user KarthikaRajagopal under an unstated license.
EarningsSignal: Earnings Call Tone & Guidance Classification Dataset
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
Machine-readable extraction of financial and operating figures drawn from publicly filed corporate documents.
Earnings-call transcripts for S&P 500 companies, tens of thousands of calls in English with timestamps, in Parquet (MIT). Direct input for call-tone and question-and-answer sentiment analysis across the large-cap earnings cycle.
Self-hosted text analysis toolkit that detects sentiment, extracts entities, and categorizes themes within a customer's own infrastructure.
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Enterprise-grade datasets spanning lawsuits, regulatory actions, real-estate records, corporate information and identity risk for due-diligence workflows.
Brand- and ticker-level consumer mood indicators extracted from publicly available social media posts.
Visual quantitative research workspace that blends sentiment, social, and web-traffic feeds into customizable backtesting strategies.
What the world is reading and talking about - 6,960 rows, 8 languages
Media intelligence solution that processes several million articles each day to track brand exposure and share of voice.
Standardized financial datasets that clean and structure company financial statements from filings for downstream analytics.
Specialized measurements track corporate media presence, flagging atypical surges in coverage and quantifying alignment across sources.
Verbatim written records of quarterly earnings calls along with supporting event information for publicly listed companies worldwide.