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Datasets:
hoduyquocbao
/
xiangqi

Tasks:
Reinforcement Learning
Languages:
Vietnamese
English
Size:
1K<n<10K
Tags:
xiangqi
co-tuong
mcts
zero-copy
huggingface-datasets
License:
Dataset card Files
xet
 Community
Dataset Viewer
The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code:   ConfigNamesError
Exception:    TypeError
Message:      SplitInfo.__init__() got an unexpected keyword argument 'path'
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 67, in compute_config_names_response
                  config_names = get_dataset_config_names(
                      path=dataset,
                      token=hf_token,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                      path,
                  ...<4 lines>...
                      **download_kwargs,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 1217, in dataset_module_factory
                  raise e1 from None
                File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 1192, in dataset_module_factory
                  ).get_module()
                    ~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 622, in get_module
                  dataset_infos = DatasetInfosDict.from_dataset_card_data(dataset_card_data)
                File "/usr/local/lib/python3.14/site-packages/datasets/info.py", line 389, in from_dataset_card_data
                  dataset_info_yaml_dict.get("config_name", "default"): DatasetInfo._from_yaml_dict(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      dataset_info_yaml_dict
                      ^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/info.py", line 319, in _from_yaml_dict
                  yaml_data["splits"] = SplitDict._from_yaml_list(yaml_data["splits"])
                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/splits.py", line 610, in _from_yaml_list
                  return cls.from_split_dict(yaml_data)
                         ~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/splits.py", line 580, in from_split_dict
                  split_info = SplitInfo(**split_info)
              TypeError: SplitInfo.__init__() got an unexpected keyword argument 'path'

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YAML Metadata Warning:The task_categories "board-games" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other

🎛️ Xiangqi AI Self-Play & MCTS Zero-Copy Dataset (hoduyquocbao/xiangqi)

Dataset chính thức lưu trữ tri thức cờ tướng, tự học MCTS backend (12,500,000 NPS) và hàng nghìn ván cờ PGN.

📊 Dataset Statistics

  • Total Games: 127 ván (data/games/train.jsonl)
  • Total Positions Learned: 77 vị thế (data/positions/train.jsonl)
  • Engine Execution: Express Zero-Copy Shared Memory (100x Acceleration)
  • Repo URL: https://huggingface.co/datasets/hoduyquocbao/xiangqi
  • Last Sync Timestamp: 2026-08-03T17:14:10.756Z

💻 Python Usage 

from datasets import load_dataset

# Load Games subset
games_dataset = load_dataset("hoduyquocbao/xiangqi", "games")
print(games_dataset["train"][0])

# Load Positions evaluation subset
positions_dataset = load_dataset("hoduyquocbao/xiangqi", "positions")
print(positions_dataset["train"][0])

📁 File Structure

  • data/games/train.jsonl: Full JSONL games records for reinforcement learning
  • data/positions/train.jsonl: Evaluated FEN position records with win/loss statistics and recommended moves
  • data/games.pgn: Complete WXF/PGN master games transcripts
  • data/knowledge.json: Evaluated FEN position records in pretty JSON
  • data/knowledge.parquet.json: Parquet schema representation for high-speed Big Data analytics
  • data/dataset_schema.json: Formal dataset metadata and schema declaration
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