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.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.steam-games-semanticIds-instructions-v3
Steam Games -- Semantic ID Instruction-Tuning Dataset (v3)
SFT (instruction-tuning) dataset pairing Steam game catalog items with semantic IDs -- short
discrete codes from an RQ-VAE trained on item embeddings -- used to fine-tune
pblrvo/Qwen3-8B-Game-semantic-IDs-v3
to reason over the semantic-ID space instead of raw item IDs/embeddings.
Successor to pblrvo/steam-games-semanticIds-instructions
(used for v1/v2), kept as a separate repo rather than overwriting it -- v2's model… See the full description on the dataset page: https://huggingface.co/datasets/pblrvo/steam-games-semanticIds-instructions-v3.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.steam-games-semanticIds-instructions
Steam Games -- Semantic ID Instruction-Tuning Dataset
SFT (instruction-tuning) dataset pairing Steam game catalog items with semantic IDs -- short
discrete codes from an RQ-VAE trained on item embeddings -- used to fine-tune
pblrvo/Qwen3-4B-Game-semantic-IDs to
reason over the semantic-ID space instead of raw item IDs/embeddings.
Train: 299,491 examples (sft_train.jsonl)
Validation: 16,118 examples (sft_val.jsonl)
Special tokens: 1,026 (semantic-ID vocabulary: <|sid_start|>… See the full description on the dataset page: https://huggingface.co/datasets/pblrvo/steam-games-semanticIds-instructions.