README.md

metadata

title: CommonLID Leaderboard
emoji: 🌍
colorFrom: indigo
colorTo: pink
sdk: gradio
sdk_version: 5.9.1
python_version: 3.12
app_file: app.py
pinned: false
license: apache-2.0

CommonLID Leaderboard

Live results table for the CommonLID benchmark and its commonlid_nano slice. Models are ranked by macro F1; click any row for per-language detail.

How the data flows

1. Each run writes <dataset>/<model>/{summary.json, predictions.jsonl} to data/results/ via commonlid run ….
2. The contents of data/results/ are uploaded to commoncrawl/commonlid-results with huggingface-cli upload.
3. This Space loads the dataset on boot and renders one tab per benchmark.

Local preview

uv sync --extra leaderboard
uv run commonlid leaderboard serve --local-dir ./data/results

Pinning a specific results revision

Set COMMONLID_RESULTS_REVISION (or --revision on the CLI) to lock the Space to a specific commit on the results dataset.