earnings-call
ESM_jlh-ibm__earnings_call_transcript-sentimentWhisper-fine-tuned-large-v2-company-earnings-call-v0Whisper-fine-tuned-base-company-earnings-call-v0tesla_earningscall_sentiment_analysisESM_jlh-ibm__earnings_call_transcriptsearnings-call-guidance-loraWhisper-fine-tuned-large-v2-company-earnings-call-v0-awsEarningsCall_Sentiment_Analysis
earnings-call-transcriptslanguage:
en
tags:
finance
earnings-calls
transcripts
nlp
llm
rag
financial-analysis
license: other
pretty_name: Earnings Call Transcripts
size_categories:
- 10K<n<100K
Earnings Call Transcripts Dataset
A cleaned financial NLP dataset containing earnings call transcripts collected from publicly available earnings call pages.
Dataset Overview
This dataset contains:
Company earnings call transcripts
Ticker symbols
Earnings quarters
Earnings years
Call dates… See the full description on the dataset page: https://huggingface.co/datasets/Rogersurf/earnings-call-transcripts.earnings_callThe dataset reports a collection of earnings call transcripts, the related stock prices, and the sector index In terms of volume, there is a total of 188 transcripts, 11970 stock prices, and 1196 sector index values. Furthermore, all of these data originated in the period 2016-2020 and are related to the NASDAQ stock market. Furthermore, the data collection was made possible by Yahoo Finance and Thomson Reuters Eikon. Specifically, Yahoo Finance enabled the search for stock values and Thomson Reuters Eikon provided the earnings call transcripts. Lastly, the dataset can be used as a benchmark for the evaluation of several NLP techniques to understand their potential for financial applications. Moreover, it is also possible to expand the dataset by extending the period in which the data originated following a similar procedure.earnings-calls-qa
Lamini Earning Calls QA Dataset
Description
This dataset contains transcripts of earning calls for various companies, along with questions and answers related to the companies' financial performance and other relevant topics.
Format
The transcripts, questions, and answers are in the form of jsonlines files, with each json object in the file containing the transcript of an earning call for a single company.
Data Pipeline Code
The entire data pipeline… See the full description on the dataset page: https://huggingface.co/datasets/lamini/earnings-calls-qa.earnings-call-data
S&P 500 earnings episodes (2005–2025)
Augmented release built on Bose345/sp500_earnings_transcripts (same transcript calendar span as that collection: 2005–2025). Static tabular data for supervised learning or RL-style experiments on earnings-call episodes. Each row is one company–quarter call, keyed by a stable episode_id, with long-form text (full earnings transcript, SEC press materials), pre-earnings price context, OHLCV anchors, SEC XBRL fundamentals (xbrl_* columns), and… See the full description on the dataset page: https://huggingface.co/datasets/RudrakshNanavaty/earnings-call-data.EarningsCallVoice
EarningsCallVoice: Core-100
EarningsCallVoice is a benchmark family for studying executive vocal delivery
in earnings-call question answering. Core-100 contains 100 manually
verified units. Each unit provides:
an authentic reference clip from the executive's prepared remarks;
the text of an analyst question;
an authentic answer clip from the same executive in the Q&A;
exact reference and answer transcripts;
cryptographic hashes and technical metadata.
The question is text… See the full description on the dataset page: https://huggingface.co/datasets/gmarti/EarningsCallVoice.earnings-call-llama4-maverick-summary
Earnings Call Summary Dataset (Llama-4-Maverick-17B-128E-Instruct-FP8)
Dataset Description
This dataset contains comprehensive summaries of corporate earnings call transcripts generated using the Llama-4-Maverick-17B-128E-Instruct-FP8 model. Each summary provides structured insights into company performance, strategic initiatives, market conditions, and forward-looking guidance.
Dataset Features
High-quality summaries: Generated using… See the full description on the dataset page: https://huggingface.co/datasets/PursuitOfDataScience/earnings-call-llama4-maverick-summary.