concept
Datasets
All datasets matching “concept”ConceptEdit-12M
ConceptEdit: Unlocking the Potential of Image Editing via Concept Scaling and Dense Supervision
ConceptEdit-12M is a large-scale image editing dataset. Each sample is stored as a triplet:
a source image,
an edited image,
a JSON metadata file describing the edit instruction, edit category, relative image paths, and VQA-style quality checks.
The dataset is packaged as multiple .tar shards. All paths inside the tar files and JSON files are relative paths; no… See the full description on the dataset page: https://huggingface.co/datasets/inclusionAI/ConceptEdit-12M.conceptual_captions
Dataset Card for Conceptual Captions
Dataset Summary
Conceptual Captions is a dataset consisting of ~3.3M images annotated with captions. In contrast with the curated style of other image caption annotations, Conceptual Caption images and their raw descriptions are harvested from the web, and therefore represent a wider variety of styles. More precisely, the raw descriptions are harvested from the Alt-text HTML attribute associated with web images. To arrive at the… See the full description on the dataset page: https://huggingface.co/datasets/google-research-datasets/conceptual_captions.rule-ling-conceptsconceptual-captions-12m-webdatasetconceptual-captions-12m-webdataset-metadata
Conceptual Captions 12M — Webshart metadata indices
Per-shard webshart metadata indices for
laion/conceptual-captions-12m-webdataset:
1,100 JSON files under data/, one per source tar shard, mirroring the source's shard layout.
Each index records every tar member's byte offset and length (enabling ranged reads without
downloading whole shards), image geometry (width/height for aspect bucketing), and — as of
August 2026 — embedded captions for all 10,994,853 samples, coalesced… See the full description on the dataset page: https://huggingface.co/datasets/webshart/conceptual-captions-12m-webdataset-metadata.conceptnet5
Dataset Card for Conceptnet5
Dataset Summary
ConceptNet is a multilingual knowledge base, representing words and
phrases that people use and the common-sense relationships between
them. The knowledge in ConceptNet is collected from a variety of
resources, including crowd-sourced resources (such as Wiktionary and
Open Mind Common Sense), games with a purpose (such as Verbosity and
nadya.jp), and expert-created resources (such as WordNet and JMDict).
You can browse what… See the full description on the dataset page: https://huggingface.co/datasets/conceptnet5/conceptnet5.