📦 deps(thirdparty): update snapshots

This commit is contained in:
ci[bot]
2026-07-01 16:02:41 +00:00
parent 8301f01888
commit c824ba9d7b
2449 changed files with 555104 additions and 9259 deletions
@@ -1,14 +1,20 @@
---
source: "https://github.com/huggingface/skills/tree/main/skills/huggingface-datasets"
name: hugging-face-dataset-viewer
description: Query Hugging Face datasets through the Dataset Viewer API for splits, rows, search, filters, and parquet links.
description: Hugging Face Dataset Viewer
risk: unknown
source: https://github.com/huggingface/skills/tree/main/skills/huggingface-datasets
source_repo: huggingface/skills
source_type: official
date_added: 2026-07-01
license: Apache-2.0
license_source: https://github.com/huggingface/skills/blob/main/LICENSE
---
# Hugging Face Dataset Viewer
## When to Use
Use this skill when you need read-only exploration of a Hugging Face dataset through the Dataset Viewer API.
Use this skill when you need hugging Face Dataset Viewer.
Use this skill to execute read-only Dataset Viewer API calls for dataset exploration and extraction.
@@ -58,36 +64,7 @@ Search/filter notes:
- `/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)"`
For CLI-based parquet URL discovery or SQL, use the `hf-cli` skill with `hf datasets parquet` and `hf datasets sql`.
## Creating and Uploading Datasets
@@ -125,7 +102,23 @@ npx -y @huggingface/hub upload datasets/<namespace>/<repo> ./local/parquet-folde
After upload, call `/parquet` to discover `<config>/<split>/<shard>` values for querying with `@~parquet`.
## Agent Traces
The Hub supports raw agent session traces from Claude Code, Codex, and Pi Agent. Upload them to Hugging Face Datasets as original JSONL files and the Hub can auto-detect the trace format, tag the dataset as `Traces`, and enable the trace viewer for browsing sessions, turns, tool calls, and model responses. Common local session directories:
- Claude Code: `~/.claude/projects`
- Codex: `~/.codex/sessions`
- Pi: `~/.pi/agent/sessions`
Default to private dataset repos because traces can contain prompts, file paths, tool outputs, secrets, or PII. Preserve the raw `.jsonl` files and nest them by project/cwd instead of uploading every session at the dataset root.
```bash
hf repos create <namespace>/<repo> --type dataset --private --exist-ok
hf upload <namespace>/<repo> ~/.codex/sessions codex/<project-or-cwd> --type dataset
```
## Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
- Use this skill only when the task clearly matches its upstream product or API scope.
- Verify commands, API behavior, pricing, quotas, credentials, and deployment effects against current official documentation before making changes.
- Do not treat generated examples as a substitute for environment-specific tests, security review, or user approval for destructive or costly actions.