huggingface-datasets: Скилл для работы с данными

--- name: huggingface-datasets description: Use this skill for Hugging Face Dataset Viewer API workflows that fetch subset/split metadata, paginate rows, search text, apply filters, download parquet URLs, and read size or statistics. --- # Hugging Face Dataset Viewer Use this skill to execute read-only Dataset Viewer API calls for dataset exploration and extraction. ## Core workflow 1. Optionally validate dataset availability with `/is-valid`. 2. Resolve `config` + `split` with `/splits`. 3. Preview with `/first-rows`. 4. Paginate content with `/rows` using `offset` and `length` (max 100). 5. Use `/search` for text matching and `/filter` for row predicates. 6. Retrieve parquet links via `/parquet` and totals/metadata via `/size` and `/statistics`. ## Defaults - Base URL: `https://datasets-server.huggingface.co` - Default API method: `GET` - Query params should be URL-encoded. - `offset` is 0-based. - `length` max is usually `100` for row-like endpoints. - Gated/private datasets require `Authorization: Bearer <HF_TOKEN>`. ## Dataset Viewer - `Validate dataset`: `/is-valid?dataset=<namespace/repo>` - `List subsets and splits`: `/splits?dataset=<namespace/repo>` - `Preview first rows`: `/first-rows?dataset=<namespace/repo>&config=<config>&split=<split>` - `Paginate rows`: `/rows?dataset=<namespace/repo>&config=<config>&split=<split>&offset=<int>&length=<int>` - `Search text`: `/search?dataset=<namespace/repo>&config=<config>&split=<split>&query=<text>&offset=<int>&length=<int>` - `Filter with predicates`: `/filter?dataset=<namespace/repo>&config=<config>&split=<split>&where=<predicate>&orderby=<sort>&offset=<int>&length=<int>` - `List parquet shards`: `/parquet?dataset=<namespace/repo>` - `Get size totals`: `/size?dataset=<namespace/repo>` - `Get column statistics`: `/statistics?dataset=<namespace/repo>&config=<config>&split=<split>` - `Get Croissant metadata (if available)`: `/croissant?dataset=<namespace/repo>` Pagination pattern: ```bash curl "https://datasets-server.huggingface.co/rows?dataset=stanfordnlp/imdb&config=plain_text&split=train&offset=0&length=100" curl "https://datasets-server.huggingface.co/rows?dataset=stanfordnlp/imdb&config=plain_text&split=train&offset=100&length=100" ``` When pagination is partial, use response fields such as `num_rows_total`, `num_rows_per_page`, and `partial` to drive continuation logic. Search/filter notes: - `/search` matches string columns (full-text style behavior is internal to the API). - `/filter` requires predicate syntax in `where` and optional sort in `orderby`. - Keep filtering and searches read-only and side-effect free. ## Querying Datasets Use `npx parquetlens` with Hub parquet alias paths for SQL querying. Parquet alias shape: ```text hf://datasets/<namespace>/<repo>@~parquet/<config>/<split>/<shard>.parquet ``` Derive `<config>`, `<split>`, and `<shard>` from Dataset Viewer `/parquet`: ```bash curl -s "https://datasets-server.huggingface.co/parquet?dataset=cfahlgren1/hub-stats" | jq -r '.parquet_files[] | "hf://datasets/(.dataset)@~parquet/(.config)/(.split)/(.filename)"' ``` Run SQL query: ```bash npx -y -p parquetlens -p @parquetlens/sql parquetlens "hf://datasets/<namespace>/<repo>@~parquet/<config>/<split>/<shard>.parquet" --sql "SELECT * FROM data LIMIT 20" ``` ### SQL export - CSV: `--sql "COPY (SELECT * FROM data LIMIT 1000) TO 'export.csv' (FORMAT CSV, HEADER, DELIMITER ',')"` - JSON: `--sql "COPY (SELECT * FROM data LIMIT 1000) TO 'export.json' (FORMAT JSON)"` - Parquet: `--sql "COPY (SELECT * FROM data LIMIT 1000) TO 'export.parquet' (FORMAT PARQUET)"` ## Creating and Uploading Datasets Use one of these flows depending on dependency constraints. Zero local dependencies (Hub UI): - Create dataset repo in browser: `https://huggingface.co/new-dataset` - Upload parquet files in the repo "Files and versions" page. - Verify shards appear in Dataset Viewer: ```bash curl -s "https://datasets-server.huggingface.co/parquet?dataset=<namespace>/<repo>" ``` Low dependency CLI flow (`npx @huggingface/hub` / `hfjs`): - Set auth token: ```bash export HF_TOKEN=<your_hf_token> ``` - Upload parquet folder to a dataset repo (auto-creates repo if missing): ```bash npx -y @huggingface/hub upload datasets/<namespace>/<repo> ./local/parquet-folder data ``` - Upload as private repo on creation: ```bash npx -y @huggingface/hub upload datasets/<namespace>/<repo> ./local/parquet-folder data --private ``` After upload, call `/parquet` to discover `<config>/<split>/<shard>` values for querying with `@~parquet`.