datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
steam-games-dataset
Overview
Information of more than 120,000 games published on Steam. Maintained by Fronkon Games.
This dataset has been created with this code (MIT) and use the API provided by Steam, the largest gaming platform on PC. Data is also collected from Steam Spy.
Only published games, no DLCs, episodes, music, videos, etc.
Here is a simple example of how to parse json information:
# Simple parse of the 'games.json' file.
import os
import json
dataset = {}
if… See the full description on the dataset page: https://huggingface.co/datasets/Z02Z/steam-games-dataset.playdate-games
Coding agent session traces for aaaaliou/playdate-games
This dataset contains redacted coding agent session traces exported with pi-share-hf from a local pi workspace. The traces were filtered to keep only sessions that passed deterministic redaction and LLM review.
Data description
Each *.jsonl file is a redacted pi session. Sessions are stored as JSON Lines files where each line is a structured session entry. Entries include session headers, user and assistant… See the full description on the dataset page: https://huggingface.co/datasets/aaaaliou/playdate-games.steam-games-dataset
Overview
Information of more than 120,000 games published on Steam. Maintained by Fronkon Games.
This dataset has been created with this code (MIT) and use the API provided by Steam, the largest gaming platform on PC. Data is also collected from Steam Spy.
Only published games, no DLCs, episodes, music, videos, etc.
Here is a simple example of how to parse json information:
# Simple parse of the 'games.json' file.
import os
import json
dataset = {}
if… See the full description on the dataset page: https://huggingface.co/datasets/zjgeritz/steam-games-dataset.rukh-games-elite
chorcat/rukh-games-elite
Games from the Lichess Elite Database (2500+ against 2300+, no bullet), converted to legal UCI with the same schema as rukh-games-1800. Used for supervised fine-tuning on strong play.
Part of Rukh, a chess language model built from scratch
as a course on generative and agentic AI. Every derived dataset ships with the exact filters and
counts of its manifest.json, so it can be regenerated with rukh data elite.
Files
File
Bytes
SHA-256… See the full description on the dataset page: https://huggingface.co/datasets/chorcat/rukh-games-elite.rukh-games-1800
chorcat/rukh-games-1800
Rated standard Lichess games with both players at 1800+ Elo, base time of at least 180 seconds, normal or time-forfeit terminations, 20 to 300 plies, converted from SAN to legal UCI. Partitioned by month: train on 2025-01, validate on 2025-02.
Part of Rukh, a chess language model built from scratch
as a course on generative and agentic AI. Every derived dataset ships with the exact filters and
counts of its manifest.json, so it can be regenerated with… See the full description on the dataset page: https://huggingface.co/datasets/chorcat/rukh-games-1800.steam-games-dataset
Overview
Information of more than 120,000 games published on Steam. Maintained by Fronkon Games.
This dataset has been created with this code (MIT) and use the API provided by Steam, the largest gaming platform on PC. Data is also collected from Steam Spy.
Only published games, no DLCs, episodes, music, videos, etc.
Here is a simple example of how to parse json information:
# Simple parse of the 'games.json' file.
import os
import json
dataset = {}
if… See the full description on the dataset page: https://huggingface.co/datasets/Eronngfgfdgfgfdrdfg/steam-games-dataset.steam-games-dataset
Overview
Information of more than 120,000 games published on Steam. Maintained by Fronkon Games.
This dataset has been created with this code (MIT) and use the API provided by Steam, the largest gaming platform on PC. Data is also collected from Steam Spy.
Only published games, no DLCs, episodes, music, videos, etc.
Here is a simple example of how to parse json information:
# Simple parse of the 'games.json' file.
import os
import json
dataset = {}
if… See the full description on the dataset page: https://huggingface.co/datasets/linking2202/steam-games-dataset.steam-games-dataset
Overview
Information of more than 120,000 games published on Steam. Maintained by Fronkon Games.
This dataset has been created with this code (MIT) and use the API provided by Steam, the largest gaming platform on PC. Data is also collected from Steam Spy.
Only published games, no DLCs, episodes, music, videos, etc.
Here is a simple example of how to parse json information:
# Simple parse of the 'games.json' file.
import os
import json
dataset = {}
if… See the full description on the dataset page: https://huggingface.co/datasets/biga666/steam-games-dataset.