Dataset · Hugging Face

polinaeterna/earnings22

Name: earnings22
Creator: polinaeterna
Keywords: region:us

The Earnings 22 dataset ( also referred to as earnings22 ) is a 119-hour corpus of English-language earnings calls collected from global companies. The primary purpose is to serve as a benchmark for industrial and academic automatic speech recognition (ASR) models on real-world accented speech.

View on Hugging FaceReport an issue

Author / organization	polinaeterna
Downloads	168 (as reported by Hugging Face)
Likes	0
Created	15 September 2022
Last updated at source	16 September 2022

Embed this entry

<iframe src="https://silytics.si/embed/item/7cd950ea-e9ff-411a-9125-f549f714fa9c" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 2 days

168 now (-1 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

More from polinaeterna

polinaeterna/audiofolder_two_configs_in_metadataDataset
polinaeterna/textsDataset
polinaeterna/test_push_two_configsDataset
polinaeterna/benchmarkDataset
polinaeterna/audio_configsDataset
polinaeterna/tabular-benchmarkDataset

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 Information may be incomplete or out of date.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.