MongoDB/tech-news-embeddings
Overview HackerNoon curated the internet's most cited 7M+ tech company news articles and blog posts about the 3k+ most valuable tech companies in 2022 and 2023. To further enhance the dataset's utility, a new embedding field and vector embedding for every datapoint have been added using the OpenAI EMBEDDING_MODEL = "text-embedding-3-small", with an EMBEDDING_DIMENSION of 256. Notably, this extension with vector embeddings only contains a portion of the original dataset… See the full description on the dataset page: https://huggingface.co/datasets/MongoDB/tech-news-embeddings.
| Author / organization | MongoDB |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 724 (as reported by Hugging Face) |
| Likes | 6 |
| Created | 14 February 2024 |
| Last updated at source | 26 February 2024 |
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724 now (-4 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: Overview HackerNoon curated the internet's most cited 7M+ tech company news articles and blog posts about the 3k+ most valuable tech companies in 2022 and 2023. To further enhance the dataset's utility, a new embedding field and vector embe → Overview HackerNoon curated the internet's most cited 7M+ tech company news articles and blog posts about the 3k+ most valuable tech companies in 2022 and 2023. To further enhance the dataset's utility, a new embedding field and vector embe
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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 Information may be incomplete or out of date.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 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.