Dataset
earnings_call_transcript_lite
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.
Data preview
Dataset card
What this dataset contains
The dataset holds earnings call transcript excerpts and condensed summary statements for publicly listed companies, drawn from public earnings disclosure channels. Two example summaries visible in the masked sample rows reference first-quarter figures, including revenue growth of 11.1 percent to $481.1 million, an adjusted EPS of $3.34, and quarterly sales of $3.3 billion, suggesting coverage spans a range of consumer, technology, or healthcare issuers. The packaged split contains 2,223 rows distributed across train, validation, and test partitions.
Structure and fields
Each row is represented by two string-typed columns: `document`, which holds the transcript text such as prepared remarks or operator introductions, and `summary`, which holds a short reference summary. The file is delivered in CSV format and is compatible with pandas, polars, and the mlcroissant metadata tooling. With only two fields per row, downstream users must join any additional metadata such as ticker, fiscal period, or sector to the data themselves.
How analysts use it
Because the rows are transcript-plus-summary pairs, the resource is well suited to training and benchmarking summarization or earnings-extraction natural language models, and the resulting systems can be applied to surface management commentary, quantify forward guidance language, or detect tone shifts across calls. Investment teams may treat model output as a quantitative input to event-driven equity or event-driven credit strategies, pairing sentiment deltas with subsequent price reactions. Coverage is small (roughly 1,000 to 10,000 records) and the license is unstated, so any production use warrants legal review and additional ticker-level enrichment.
Documentation & references 1
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SEC EDGAR 10-K & 10-Q financial statements for 2,600+ NASDAQ companies.
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