rouapps

rouapps / caret

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Terminal tool for inspecting and cleaning large LLM training datasets. Handles JSONL, Parquet, and CSV with memory-mapped I/O, near-duplicate detection, token visualization, dataset linting, and an MCP server.

10
1
100% credibility
Found Feb 13, 2026 at 10 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Rust
AI Summary

Caret is a terminal tool for viewing, searching, cleaning, and analyzing large datasets used to train AI language models.

How It Works

1
🔍 Discover Caret

You hear about a handy tool that lets you explore and tidy up massive files full of training examples for AI chatbots.

2
💻 Launch the Tool

You download it and open it in your terminal, ready to dive into your data.

3
Pick Your Data
📁
Local File

Point it to a file on your computer, and it loads super fast no matter the size.

🌐
Online Stream

Type a web link to an online dataset, and it pulls just what you need without a full download.

4
🔦 Spot Issues Instantly

Scroll through examples, see duplicates glow, broken parts flagged, and words split into AI 'tokens' with colors.

5
🧹 Clean It Up

Press a key to scan for repeats, fix formatting glitches, or lint for problems, watching issues vanish.

6
🤖 Team Up with AI

Switch on sharing mode so your AI assistant can jump around, search, or analyze right alongside you.

✅ Dataset Perfected

You end up with a spotless, duplicate-free collection ready to train even smarter AI models.

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Star Growth

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AI-Generated Review

What is caret?

Caret is a Rust terminal tool for inspecting and cleaning massive LLM training datasets in JSONL, Parquet, or CSV formats. Run `caret data.jsonl` for a TUI viewer with instant access via memory-mapped I/O, handling files too big for editors. It streams HuggingFace repos like `caret hf://tatsu-lab/alpaca`, detects near-duplicates, visualizes tokens, lints issues, auto-fixes JSON, and runs an MCP server for AI control.

Why is it gaining traction?

Stands out with zero-copy opens for TB datasets, SimHash dedup that exports clean files via `caret --dedup --dedup-export clean.jsonl`, and token X-ray across Tiktoken or HuggingFace models. MCP integration lets Claude or Cursor jump lines or toggle views remotely, perfect for terminal github workflows on mac, windows, or linux—beats clunky editors or R's github caret package for AI data.

Who should use this?

ML engineers scrubbing duplicates from training corpora, researchers auditing HF datasets like C4 without downloads, dataset curators linting reasoning chains or fixing think tags in bulk.

Verdict

Promising v0.4 pick for terminal dataset triage (10 stars, 1.0% credibility signals early stage), with strong README and tests—install via cargo for daily use, but expect tweaks as adoption grows.

(198 words)

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