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Use this skill when you want to build an image captioning dataset from web alt-text using automated cleaning and hypernym replacement. Avoid it when you need fine-grained or domain-specific captions that web alt-text cannot provide.
Conceptual Captions: A Cleaned, Hypernymed, Image Alt-text Dataset For Automatic Image Captioning is an agent skill entry in ChatHome Skills, sourced from GitHub Skill Search and scored 53/100. # Conceptual Captions: A Cleaned, Hypernymed, Image Alt-text Dataset For Automatic Image Captioning ## One-line decision Use this skill when you want to build a. As an agent skill, it packages a reusable instruction set that AI coding agents such as Codex and Claude Code can load to perform this task without hand-written glue code. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding Conceptual Captions: A Cleaned, Hypernymed, Image Alt-text Dataset For Automatic Image Captioning to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
codex skill install feiyang-k/curation-benchReview the upstream source before running this command.
Scan coverage: Install metadata and the indexed document body.
Automated signals from install metadata and a bounded skill body — not a full code security audit and not a recursive source or dependency review.
# Conceptual Captions: A Cleaned, Hypernymed, Image Alt-text Dataset For Automatic Image Captioning ## One-line decision Use this skill when you want to build an image captioning d