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Text · dataset · 2026

Faïence human-vs-net Azul games

Listed in Hugging Face Datasets

Faïence: human-vs-net Azul games Every game played on Faïence, a free browser implementation of the rules of Azul (Michael Kiesling) against a neural net trained by self-play, unless the player switched sharing off.

Description

This dataset is the training pile the playing page tells its players about, and it is public precisely so that a player can read everything the project collects. Records are anonymous by construction: moves, deals, which net played, and the score.

No names, no… See the full description on the dataset page: huggingface.co/datasets/RemiFabre/faience-games.

Links

Where it is published

Catalogue records · 1

Topics

Stated by source
tabular · text
Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
Hugging Face DatasetsRemiFabre/faience-games8 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:tabularsource · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:textsource · Hugging Faceconnector:huggingface@1.0.0
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
licensesource · Hugging Faceconnector:huggingface@1.0.0/tags[license:*]
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0