Dataset · Hugging Face

bethgelab/dataconcept_128M

Name: dataconcept_128M
Creator: bethgelab
License: mit
Keywords: task_categories:zero-shot-classification, language:en, license:mit, size_categories:100M<n<1B, format:parquet, modality:image, modality:tabular, modality:text, library:datasets, library:dask, library:polars, library:mlcroissant, arxiv:2511.20643, region:us, CLIP

DataConcept-128M: Concept-Annotated Pretraining Dataset Paper | Code Correspondence: Adhiraj Ghosh 📌 Introduction DataConcept-128M is a multimodal pretraining dataset comprising 128M web-crawled image-text pairs, derived from DataComp-CLIP annotated with fine-grained details about their concept composition. This dataset is designed to enable Concept-Aware Batch Sampling (CABS), a flexible batch sampling framework that constructs batches on-the-fly based on… See the full description on the dataset page: https://huggingface.co/datasets/bethgelab/dataconcept_128M.

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Author / organization	bethgelab
License (as declared)	mit
Downloads	7K (as reported by Hugging Face)
Likes	6
Created	25 November 2025
Last updated at source	25 August 2026

CLIPpretrainingdatacompVLM

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