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Mega datasets

Skill ohtensorplay/mega-skills/skills/mega-datasets

Find, inspect, create, update, download, upload, version, and process datasets on MEGA Hub. Use for dataset search, dataset cards, schema or file discovery, bounded text reads, dataset repository creation, local or bulk transfer, and reproducible dataset workflows.From its SKILL.md

Install
npx -y skills add ohtensorplay/mega-skills --skill mega-datasets

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its file declares

Copied from the file, not written here

The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

1.7 KB, 324 tokens by cl100k_base, as published. Nobody here has run it

MEGA datasets

Discover

  1. Use dataset_search with query, author, exact tags, sort, limit, and cursor.
  2. Compare canonical ID, description, license, tags, update time, file count, size, match score, and source.
  3. Use dataset_details with only the card, files, refs, or commits needed for the question.
  4. Use hub_repo_details when comparing up to ten repositories or when the task needs the supported dataset_structure (configs, splits, sizes, and Parquet metadata) or dataset_preview operations.
  5. Use mega_fs for bounded mega://datasets/OWNER/NAME/PATH listing, stat, or UTF-8 reads.

Do not claim a dataset has a schema, split, license, format, or preview row unless returned metadata, the selected dataset card, or a Dataset Viewer operation supports it.

Create or update

  • Use create_repo with repo_type: dataset for an empty or server-side duplicated dataset repository.
  • Use mega_fs_write for one small verified text file such as a dataset card or configuration file.
  • Use $mega-cli for local preparation, directories, binary data, large shards, bulk/resumable upload or download, Git versioning, and processing pipelines.

Reproducibility

Pin a revision when results must be repeatable. Record the canonical dataset ID, revision, filters or split selection, local transformation steps, and output destination. Preserve licensing and provenance metadata when deriving or republishing data.

What ships with it: 1 file

210 B alongside SKILL.md

agents/

Keep looking

Skills are one crate of 326,144. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.