Alternative data datasets
Browse by provider, category, marketplace, access, delivery and license
Every job posting collected since 2021: who is hiring, for what, where and at what salary. One row per posting with title, full description, location, salary and company; closed postings ship as their own file with the day each one went offline. Companies file included for firmographic joins.
Quarterly conference calls are processed to detect revisions in guidance and shifts in executive language.
A private collection of cleaned earnings-call transcript segments derived from a Motley Fool Kaggle release, split into 135,306 training rows tagged with ticker, exchange, date, and chunk text.
A static tabular extension of the Bose345/sp500_earnings_transcripts collection covering the same 2005 to 2025 calendar of S&P 500 earnings events, where each row represents a single company-quarter call identified by a stable episode_id and bundles the full transcript along with related SEC press materials and pre-event inputs suitable for supervised learning or reinforcement-style experimentation.
Quarterly Earnings Call Transcripts for 10 NASDAQ companies from 2016-2020
The awinml/earnings_calls_transcripts dataset on the Hugging Face Hub packages a small collection of earnings-call transcript segments formatted as chat-style messages for fine-tuning language models. It is distributed as a parquet file and is tagged for text modality with libraries including datasets, pandas, mlcroissant, and polars.
A curated collection of earnings call recordings broken into intelligent segments and paired with high-accuracy transcripts produced by Mistral's Voxtral model, intended for ASR benchmarking, transcription quality studies, and audio-to-text alignment research.
Archive of earnings call transcripts for more than 4,500 firms, beginning in 2005.
Earnings-call transcripts from an IBM research project, tens of thousands of records with finance tags, in CC0. A filings-adjacent corpus for call-tone and question-and-answer analysis.
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
An English-language NLP corpus of cleaned earnings call transcripts gathered from public investor-relations pages, sized between 10,000 and 100,000 documents for financial analysis and LLM work.
S&P 500 earnings call episodes from 2005 to 2025 are released as static tabular rows, each identified by a company-quarter episode identifier and containing full transcripts along with SEC press materials, suited to supervised or reinforcement-style experiments.
Earnings Call Transcript Lite is a small public-records dataset of corporate earnings call transcripts paired with short reference summaries. It is distributed as a CSV and is published on the Hugging Face Hub under an unstated license.
View source information and access options.
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.
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.
View source information and access options.
View source information and access options.
Earnings Call Transcripts of META (formerly Facebook) 2018-2025
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.
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.
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.
Stocks Quarterly Earnings This dataset includes quarterly earnings report data for various stocks. 355,371 rows over 6,406 symbols, 8 columns, covering 1996-01-31 to 2026-07-31. Refreshed monthly. Strategies Built on This Data 490 papers in the Papers With Backtest catalogue declare this dataset as an input. 456 of them have been coded and run over their own full history. The median replicated Sha
Stocks Weekly Earnings Surprise Weekly earnings surprise probabilities and outcomes for publicly traded companies. 2,204,032 rows over 6,067 symbols, 8 columns, covering 2016-12-30 to 2026-07-03. Refreshed monthly. Why It Matters This dataset supplies high-frequency earnings-surprise context for equity strategies by: Pre-event positioning: Surprise probabilities guide sizing and hedging ahead of e
CSV file contains over 2000 rows of detailed commentary on AI mentions.
View source information and access options.
Transcripts of earnings calls for Taiwanese companies.
18,755 earnings call transcripts scraped from Motley Fool
The 2024 Earnings Call Transcript dataset, published by yeong-hwan on Hugging Face, aggregates quarterly earnings call dialogue for individual stock tickers. It is distributed as a JSON table with 1,904 rows in a single train split.
Text analytics that pulls sentiment signals and event markers from regulatory filings, earnings call transcripts and news articles.
Estimated application store downloads and earnings broken down by detailed category classifications.
Earnings forecasts gathered from contributors are compared against Wall Street consensus figures.
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.
Information covering pay packages for senior leaders and board members, makeup of boards of directors, stock option grants, and ratios comparing executive compensation to median employee earnings.
Verbatim written records of quarterly earnings calls along with supporting event information for publicly listed companies worldwide.
Records on over 26 million French enterprises, each with corporate legal data, industry classification, officer listings, and financial indicators like revenue and earnings.
Top 50 Companies' Earnings Call Transcripts, scraped from AlphaSpread
View source information and access options.
View source information and access options.
View source information and access options.
View source information and access options.
View source information and access options.
View source information and access options.
View source information and access options.
View source information and access options.
View source information and access options.
View source information and access options.
View source information and access options.
View source information and access options.
View source information and access options.
View source information and access options.
View source information and access options.
View source information and access options.
View source information and access options.
View source information and access options.
View source information and access options.
View source information and access options.
View source information and access options.