him1411/EDGAR10-Q
EDGAR10-Q Dataset Summary EDGAR10-Q is a large financial dataset curated by scraping annual and quarterly reports of top 1500 LLCs in the world. The dataset is designed for the task of ContextNER, which aims to generate the relevant context for entities in a sentence, where the context is a set of phrases describing the entity but not necessarily present in the sentence. The dataset is the largest in terms of the number of sentences (1M), entities (2.8M), and… See the full description on the dataset page: https://huggingface.co/datasets/him1411/EDGAR10-Q.
| Author / organization | him1411 |
|---|---|
| License (as declared) | mit |
| Downloads | 193 (as reported by Hugging Face) |
| Likes | 7 |
| Created | 1 April 2023 |
| Last updated at source | 14 May 2023 |
Popularity, last 2 days
193 now (+1 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: EDGAR10-Q Dataset Summary EDGAR10-Q is a large financial dataset curated by scraping annual and quarterly reports of top 1500 LLCs in the world. The dataset is designed for the task of ContextNER, which aims to generate the relevant context → EDGAR10-Q Dataset Summary EDGAR10-Q is a large financial dataset curated by scraping annual and quarterly reports of top 1500 LLCs in the world. The dataset is designed for the task of ContextNER, which aims to generate the relevant context
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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 Information may be incomplete or out of date.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.