Dataset · Hugging Face

Universal-NER/Pile-NER-type

Name: Pile-NER-type
Creator: Universal-NER
Keywords: language:en, size_categories:10K<n<100K, format:json, modality:text, library:datasets, library:pandas, library:mlcroissant, library:polars, region:us

Intro Pile-NER-type is a set of GPT-generated data for named entity recognition using the type-based data construction prompt. It was collected by prompting gpt-3.5-turbo-0301 and augmented by negative sampling. Check our project page for more information. License Attribution-NonCommercial 4.0 International

View on Hugging FaceReport an issue

Author / organization	Universal-NER
Downloads	725 (as reported by Hugging Face)
Likes	29
Created	7 August 2023
Last updated at source	7 August 2023

Embed this entry

<iframe src="https://silytics.si/embed/item/e2a47e14-1bbd-42d8-a468-ce6fdc00bf30" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Connected in the knowledge graph

mradermacher/TinyMixtral_4x220M-UniversalNER-GGUFModel · used to train
mradermacher/SLIMER-PARALLEL-LLaMA3-i1-GGUFModel · used to train
mradermacher/SLIMER-PARALLEL-LLaMA3-GGUFModel · used to train
urchade/gliner_baseModel · used to train
urchade/gliner_multiModel · used to train
urchade/gliner_small-v1Model · used to train
bartowski/SLIMER-PARALLEL-LLaMA3-GGUFModel · used to train
mradermacher/TinyMixtral_4x220M-UniversalNER-i1-GGUFModel · used to train

Explore this entry in the graph

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.