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+*.arrow filter=lfs diff=lfs merge=lfs -text
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+*.bz2 filter=lfs diff=lfs merge=lfs -text
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+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
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+# Audio files - uncompressed
+*.pcm filter=lfs diff=lfs merge=lfs -text
+*.sam filter=lfs diff=lfs merge=lfs -text
+*.raw filter=lfs diff=lfs merge=lfs -text
+# Audio files - compressed
+*.aac filter=lfs diff=lfs merge=lfs -text
+*.flac filter=lfs diff=lfs merge=lfs -text
+*.mp3 filter=lfs diff=lfs merge=lfs -text
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+# Image files - uncompressed
+*.bmp filter=lfs diff=lfs merge=lfs -text
+*.gif filter=lfs diff=lfs merge=lfs -text
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+*.jpg filter=lfs diff=lfs merge=lfs -text
+*.jpeg filter=lfs diff=lfs merge=lfs -text
+*.webp filter=lfs diff=lfs merge=lfs -text
+# Video files - compressed
+*.mp4 filter=lfs diff=lfs merge=lfs -text
+*.webm filter=lfs diff=lfs merge=lfs -text

.gitignore

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+# Python-generated files
+__pycache__/
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+*.egg-info
+
+# Virtual environments
+.venv

.python-version

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+3.13

README.md

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+---
+license: odc-by
+pretty_name: Maimai Charts Dataset
+size_categories:
+  - 1K<n<10K
+tags:
+  - art
+  - music
+---
+
+# Maimai Charts Dataset
+
+Dataset of [Maimai](https://en.wikipedia.org/wiki/Maimai) charts & music, in [3simai](https://w.atwiki.jp/simai/pages/1003.html) format.
+
+## Disclaimer
+
+This dataset is licensed under the [Open Data Commons Attribution License](https://opendatacommons.org/licenses/by/1-0/), provided for research and educational purposes only. It is not affiliated with, endorsed, or sponsored by SEGA or any of its subsidiaries. All copyrights and trademarks relating to Maimai and its charts are the property of their respective owners. The creators of this dataset do not claim any ownership of the original content.
+
+## Contributing
+
+`main.py` is the maintainance script, just `python main.py --help` to see the options.
+
+Before generating the dataset, you need to download & decompress [Maichart-Converts](https://github.com/Neskol/Maichart-Converts):
+
+```
+/maichart/
+- maimai
+- maimai DX
+- ...
+- Kop6thUpdate
+```
+
+NoBGA version is OK, but you need to merge the update package (`Kop6thUpdate`) into the versioned directories:
+
+In detail, extract `&genre=foo` from `maidata.txt` and move (overwrite) to corresponding directories.

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data/dataset_info.json

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+{
+  "citation": "",
+  "description": "Dataset of Maimai charts & music, in 3simai format.",
+  "features": {
+    "id": {
+      "dtype": "int32",
+      "_type": "Value"
+    },
+    "name": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "type": {
+      "names": [
+        "STD",
+        "DX"
+      ],
+      "_type": "ClassLabel"
+    },
+    "music": {
+      "_type": "Audio"
+    },
+    "chart": {
+      "dtype": "string",
+      "_type": "Value"
+    }
+  },
+  "homepage": "https://huggingface.co/datasets/rhythm-world/maimai-charts-dataset",
+  "license": "odc-by"
+}

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main.py

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+"""
+Copyright 2025-present Rhythm World Team
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+"""
+
+from os import listdir
+from pathlib import Path
+import datasets
+import shutil
+import typer
+
+
+DISALLOWED_METADATA = set(
+    [
+        "ChartConverter",
+        "ChartConvertTool",
+        "ChartConvertToolVersion",
+        "smsg",
+    ]
+)
+
+
+def parse_chart(chart: str) -> tuple[str, dict[str, str]]:
+    """Extract metadata from chart string, ignoring disallowed keys.
+
+    Returns (filtered_chart, metadata_dict)."""
+    chart_lines = []
+    meta: dict[str, str] = {}
+    prev_blank = False
+    for line in chart.split("\n"):
+        if line.startswith("&"):
+            key, value = line[1:].split("=", 1)
+            if key in DISALLOWED_METADATA:
+                continue
+            else:
+                meta[key] = value
+        else:
+            # Filter out consecutive newlines & blank lines
+            if not line.strip():
+                if not prev_blank:
+                    chart_lines.append("")
+                prev_blank = True
+            else:
+                chart_lines.append(line)
+                prev_blank = False
+    return ("\n".join(chart_lines), meta)
+
+
+def count_subdirs(source_path: Path):
+    result: dict[str, int] = {}
+    for entry in listdir(source_path):
+        first_level = source_path / entry
+        if not first_level.is_dir():
+            continue
+        count = 0
+        for sub in listdir(first_level):
+            if (first_level / sub).is_dir():
+                count += 1
+        result[entry] = count
+    return result
+
+
+def collect_all_rows(source_path: Path):
+    for entry in listdir(source_path):
+        first_level = source_path / entry
+        if not first_level.is_dir():
+            continue
+        for subentry in listdir(first_level):
+            p = first_level / subentry
+            with open(p / "maidata.txt", encoding="utf-8") as f:
+                chart = f.read()
+            chart, meta = parse_chart(chart)
+            yield {
+                "id": int(subentry.split("_")[0]),
+                "name": meta.get("title", "").replace("[DX]", "").replace("[SD]", ""),
+                "type": "DX" if subentry.endswith("_DX") else "STD",
+                "music": str(p / "track.mp3"),
+                "chart": chart,
+            }
+
+
+def main(
+    source_path: Path = typer.Argument(
+        ..., help="Source directory, see README.md for details"
+    ),
+    output_path: Path = typer.Argument(..., help="Output directory for dataset"),
+    clear: bool = typer.Option(
+        False, "--clear", help="Clear output directory if not empty"
+    ),
+):
+    if output_path.exists() and any(output_path.iterdir()):
+        if not clear:
+            typer.echo("Error: Output directory is not empty.")
+            raise typer.Exit(code=1)
+        else:
+            for item in output_path.iterdir():
+                if item.is_dir():
+                    shutil.rmtree(item)
+                else:
+                    item.unlink()
+    output_path.mkdir(parents=True, exist_ok=True)
+
+    features = datasets.Features(
+        {
+            "id": datasets.Value("int32"),
+            "name": datasets.Value("string"),
+            "type": datasets.ClassLabel(names=["STD", "DX"]),
+            "music": datasets.Audio(),
+            "chart": datasets.Value("string"),
+        }
+    )
+
+    rows = [i for i in collect_all_rows(source_path)]
+    dataset = datasets.Dataset.from_list(
+        rows,
+        features=features,
+        info=datasets.DatasetInfo(
+            description="Dataset of Maimai charts & music, in 3simai format.",
+            homepage="https://huggingface.co/datasets/rhythm-world/maimai-charts-dataset",
+            version="1.0.0",
+            license="odc-by",
+        ),
+    )
+    dataset.save_to_disk(output_path)
+
+
+app = typer.Typer()
+app.command()(main)
+
+if __name__ == "__main__":
+    app()

pyproject.toml

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+[project]
+name = "maimai-charts-dataset"
+version = "0.0.0"
+readme = "README.md"
+requires-python = ">=3.13"
+dependencies = [
+    "datasets>=3.6.0",
+    "ruff>=0.12.0",
+    "soundfile>=0.13.1",
+    "typer>=0.16.0",
+]