Alternative data datasets
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Automated language processing system that mines corporate disclosures for causal statements and forward-looking commentary.
A weekly dataset tracking positions held by commercial and non-commercial participants across futures, provided in legacy, disaggregated, and financial-futures formats for agricultural, energy, metals, and financial contracts.
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.
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An early-warning source covering worldwide commodity markets.
An early indicator of disruptions affecting international supply chains.
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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.
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.
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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)
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.
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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.
Analytics service that converts global news streams into event signals and assigns impact scores to corporate and macroeconomic developments.
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.
Indonesian Energy News with Multidimensional Scoring and Regulatory Tags
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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
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.
Automated news feed with sentiment ratings, delivered in machine-readable form via the LSEG (formerly Refinitiv) distribution network.
Visual quantitative research workspace that blends sentiment, social, and web-traffic feeds into customizable backtesting strategies.
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.
Designed to aid Nifty50 trading research, this dataset merges financial news, sentiment indicators, and stock market data into a single analysis-ready resource, enabling pipelines that cover news cleaning, impact categorization, FinBERT-based sentiment scoring, and Temporal Fusion Transformer forecasting.
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A tool designed to perform sentiment classification on textual content.
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