Buckets:
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.