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
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。
