Alternative data datasets
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An in-depth overview of a firm's employee structure, hiring patterns, and key human-resources indicators.
Independent and open municipal bond price feeds are supplied to assist with transactions, valuation work, and related analysis.
Worldwide supply chain intelligence covering in excess of nine million firms along with more than two billion shipping entries.
Evaluates how individual companies are vulnerable to seven physical hazards linked to climate change.
Applies natural language processing to earnings call transcripts in order to surface KPI-related signals such as risk factors, strategic pivots, and pricing pressures.
Multiple credit risk evaluations are combined into one consolidated score that summarizes an entity's credit standing.
Worldwide estimates derived from modeling, projections, and analytical research efforts.
Company-level environmental, social, and governance ratings, including separate scores for each pillar and the methodology used to derive them.
A broad set of metrics addressing multiple dimensions of supply chain activity.
Offers full environmental performance records covering more than 16,800 organizations.
Including vital parameters, stock history, financial and news with sentiments
An artificial intelligence system performs context-aware searches over social posts and news content, designed for corporate risk management.
A screening tool processes news articles, social updates, blog entries and forums to flag ESG-related controversies relevant to investment funds.
Structured evaluation of social media streams produces trading-oriented indicators.
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A community-compiled collection of stock-market-related tweets in English, stored as CSV, hundreds of thousands of posts (CC BY 4.0). Retail chatter feeds sentiment-signal research and market-tone studies.
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Transcripts of earnings calls for Taiwanese companies.
A machine learning service evaluates online material to assign sentiment and emotional tone scores.
Examination of insider trading filings from SEC Form 4 submissions.
18,755 earnings call transcripts scraped from Motley Fool
Broadcast television and radio are monitored using logo and object detection to tally minutes of brand visibility.
Streaming YouTube consumption metrics captured from Generation Z mobile audiences.
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Enriched entity records and linking attributes that map corporations, individuals and locations together to power graph-style analysis.
The restaurant_reviews dataset, published on the Hugging Face Hub by user yav1327, is a tabular and text collection of restaurant listings paired with user reviews. It is distributed in Parquet format with a single train split of 13,144 rows and an unstated license.
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End-of-day figures paired with news-driven analytics such as sentiment, risk, and ESG metrics drawn from worldwide coverage.
Which city has the highest median price or price per square foot?