distil-whisper/earnings22
Dataset Card for Earnings 22 Dataset Summary Earnings-22 provides a free-to-use benchmark of real-world, accented audio to bridge academic and industrial research. This dataset contains 125 files totalling roughly 119 hours of English language earnings calls from global countries. This dataset provides the full audios, transcripts, and accompanying metadata such as ticker symbol, headquarters country, and our defined "Language Region". Supported… See the full description on the dataset page: https://huggingface.co/datasets/distil-whisper/earnings22.
| Author / organization | distil-whisper |
|---|---|
| Downloads | 3.1K (as reported by Hugging Face) |
| Likes | 19 |
| Created | 13 October 2023 |
| Last updated at source | 13 October 2023 |
Popularity, last 2 days
3,141 now (-7 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- futo-org/asr4all-mModel · used to train
- futo-org/asr4all-sModel · used to train
- futo-org/asr4all-lModel · used to train
Recent changes
- 16 Oct 2026 Description: Dataset Card for Earnings 22 Dataset Summary Earnings-22 provides a free-to-use benchmark of real-world, accented audio to bridge academic and industrial research. This dataset contains 125 files totalling roughly 119 hours of English langu → Dataset Card for Earnings 22 Dataset Summary Earnings-22 provides a free-to-use benchmark of real-world, accented audio to bridge academic and industrial research. This dataset contains 125 files totalling roughly 119 hours of English langu
Changes detected by Silytics between refreshes of the source.
More from distil-whisper
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.