Data Labeler
📖 技能介绍
version: "2.0.0" name: Label Studio description: "Label Studio is a multi-type data labeling and annotation tool with standardized output format label studio, typescript, annotation, annotation-tool."
Data Labeler
A data processing and labeling toolkit for ingesting, transforming, querying, and managing data entries from the command line. All operations are logged with timestamps and stored locally.
Commands
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Data Operations
Each data command works in two modes: run without arguments to view recent entries, or pass input to record a new entry.
| Command | Description |
|---|---|
data-labeler ingest <input> |
Ingest data — record a new ingest entry or view recent ones |
data-labeler transform <input> |
Transform data — record a transformation or view recent ones |
data-labeler query <input> |
Query data — record a query or view recent ones |
data-labeler filter <input> |
Filter data — record a filter operation or view recent ones |
data-labeler aggregate <input> |
Aggregate data — record an aggregation or view recent ones |
data-labeler visualize <input> |
Visualize data — record a visualization or view recent ones |
data-labeler export <input> |
Export data — record an export entry or view recent ones |
data-labeler sample <input> |
Sample data — record a sample or view recent ones |
data-labeler schema <input> |
Schema management — record a schema entry or view recent ones |
data-labeler validate <input> |
Validate data — record a validation or view recent ones |
data-labeler pipeline <input> |
Pipeline management — record a pipeline step or view recent ones |
data-labeler profile <input> |
Profile data — record a profile or view recent ones |
Utility Commands
| Command | Description |
|---|---|
data-labeler stats |
Show summary statistics — entry counts per category, total entries, disk usage |
data-labeler export <fmt> |
Export all data to a file (formats: json, csv, txt) |
data-labeler search <term> |
Search all log files for a term (case-insensitive) |
data-labeler recent |
Show last 20 entries from activity history |
data-labeler status |
Health check — version, data directory, entry count, disk usage, last activity |
data-labeler help |
Show available commands |
data-labeler version |
Show version (v2.0.0) |
Data Storage
All data is stored locally at ~/.local/share/data-labeler/:
- Each data command writes to its own log file (e.g.,
ingest.log,transform.log) - Entries are stored as
timestamp|valuepairs (pipe-delimited) - All actions are tracked in
history.logwith timestamps - Export generates files in the data directory (
export.json,export.csv, orexport.txt)
Requirements
- Bash (with
set -euo pipefail) - Standard Unix utilities:
date,wc,du,grep,tail,cat,sed - No external dependencies or API keys required
When to Use
- To log and track data processing operations (ingest, transform, query, etc.)
- To maintain a searchable history of data pipeline activities
- To export accumulated records in JSON, CSV, or plain text format
- As part of larger automation or data-pipeline workflows
- When you need a lightweight, local-only data operation tracker
Examples
# Record a new ingest entry
data-labeler ingest "loaded customer_data.csv 5000 rows"
# View recent transform entries
data-labeler transform
# Search across all logs
data-labeler search "customer"
# Export everything as JSON
data-labeler export json
# Check overall statistics
data-labeler stats
# View recent activity
data-labeler recent
# Health check
data-labeler status
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🤖 AI 评测
质量较好，专业性强。这个技能把AI训练数据标注工作拆解得很清楚，从图像标注到文本实体识别都有覆盖，还特别强调了容易出错的地方。质量指标明确，对边界框精度、NER准确率等都有具体要求。不过整体偏理论指导，缺少更傻瓜式的操作步骤和实际演示，新手可能需要一定学习成本才能上手使用。
