Alternative data datasets
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Indonesian Energy News with Multidimensional Scoring and Regulatory Tags
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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
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.
Brand- and ticker-level consumer mood indicators extracted from publicly available social media posts.
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.
Long-running series of news, social, and ESG sentiment measures distributed through LSEG channels.
Media intelligence solution that processes several million articles each day to track brand exposure and share of voice.
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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A CC-BY-4.0 licensed compilation from Ozari Health cataloging 22 major published GLP-1 clinical trials as of May 2026, consolidating peer-reviewed trial-level data into a single structured index.
The restaurant_reviews dataset is a small text corpus of roughly one thousand customer review snippets paired with binary sentiment labels, published on the Hugging Face Hub under the user account pachequinho. It is distributed in CSV format with an Apache-2.0 license declaration.
Ranking information for podcasts.
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Daily Bitcoin data with Macro, Sentiment, and Hashrate metrics (2021-2025).
A large scale collection of structured video annotations covering transcripts, summaries, sentiment, safety signals, and content metadata.
A real-time stream of submissions and engagement metrics from the WallStreetBets forum curated by Quiver Quantitative and distributed through BattleFin, used to gauge retail investor mood toward stocks.
Top 50 Companies' Earnings Call Transcripts, scraped from AlphaSpread
Organized intelligence drawn from news outlets and social platforms exceeding forty thousand in number, including tone and sentiment analysis.
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An interface consolidates customer feedback from more than 70 review platforms, assigning entries to specified businesses.
CSV file contains over 2000 rows of detailed commentary on AI mentions.
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