datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
sp500-earnings-transcripts
S&P 500 Earnings Call Transcripts
Dataset Description
This dataset provides earnings call transcripts for S&P 500 companies, primarily covering 2014-2024, along with quarterly financial metrics and company fundamentals.
📄 Paper: This dataset was prepared for and used in Ca'Zorzi, Manu, Lopardo. Verba Volant, Transcripta Manent: What Corporate Earnings Calls Reveal About the AI Stock Rally. No. 3093. European Central Bank, 2025.
Coverage Statistics
Time… See the full description on the dataset page: https://huggingface.co/datasets/glopardo/sp500-earnings-transcripts.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.pit-earnings-call-qa
Earnings-Call QA dataset for PIT-4B-FT SFT
Supervised fine-tuning mixture for the PIT (Point-in-Time) line of language models, derived from US public-company earnings-call transcripts. Built to fine-tune the Diamegs/PIT-4B-FT-* snapshots while respecting PIT chronological discipline — no transcript dated after the base model's knowledge cutoff is used in training.
Available snapshots
Each snapshot has its own chronological splits keyed to the base model's… See the full description on the dataset page: https://huggingface.co/datasets/jdecim/pit-earnings-call-qa.pit-earnings-call-qa
Earnings-Call QA dataset for PIT-4B-FT SFT
Supervised fine-tuning mixture for the PIT (Point-in-Time) line of language models, derived from US public-company earnings-call transcripts. Built to fine-tune the Diamegs/PIT-4B-FT-* snapshots while respecting PIT chronological discipline — no transcript dated after the base model's knowledge cutoff is used in training.
Available snapshots
Each snapshot has its own chronological splits keyed to the base model's… See the full description on the dataset page: https://huggingface.co/datasets/idleengine/pit-earnings-call-qa.