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metadata
pretty_name: HuggingFace AI Coding Tools Dashboard
task_categories:
  - text-generation
tags:
  - benchmark
  - ai-coding-tools
  - huggingface
language:
  - en
  - code
license: cc-by-4.0
size_categories:
  - 1K<n<10K

HuggingFace AI Coding Tools Dashboard

Benchmark data from the HuggingFace AI Dashboard — tracking how AI coding tools (Claude Code, Codex, Copilot, Cursor) recommend HuggingFace products across 32 developer categories.

Dataset Structure

Split Description Rows
results Full benchmark results with LLM responses, cost, tokens, latency, and product detection 8881
queries Benchmark query definitions across 32 categories 263
runs Run metadata and tool/model configurations 1
products HuggingFace product catalog with detection keywords 44

Key Fields (results)

  • tool: AI coding tool tested (claude_code, codex, copilot, cursor)
  • model: Specific model used
  • response: Full raw LLM response text
  • detected_products: HuggingFace products mentioned in the response
  • cost_usd / tokens_input / tokens_output / latency_ms: Performance metrics

Example Queries

DuckDB:

SELECT tool, COUNT(*) as mentions
FROM results
WHERE response LIKE '%xet%'
GROUP BY tool

Python:

from datasets import load_dataset
ds = load_dataset("davidkling/hf-coding-tools-dashboard")

Xet Storage Details

Size:
1.48 kB
·
Xet hash:
9ed39070d5fef2b987fdeb75d6ad9459b7cd514b0c77c7f84359bb23b757813e

Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.