2 arrows

README.md

@@ -11,7 +11,128 @@ tags:
 pretty_name: Musical Instruments Timbre Evaluation Database
 size_categories:
 - n<1K
-viewer: false
+dataset_info:
+  - config_name: default
+    features:
+      - name: audio
+        dtype:
+          audio:
+            sampling_rate: 44100
+      - name: mel
+        dtype: image
+      - name: instrument
+        dtype:
+          class_label:
+            names:
+              '0': gao_hu
+              '1': er_hu
+              '2': zhong_hu
+              '3': ge_hu
+              '4': di_yin_ge_hu
+              '5': jing_hu
+              '6': ban_hu
+              '7': bang_di
+              '8': qu_di
+              '9': xin_di
+              '10': da_di
+              '11': gao_yin_sheng
+              '12': zhong_yin_sheng
+              '13': di_yin_sheng
+              '14': gao_yin_suo_na
+              '15': zhong_yin_suo_na
+              '16': ci_zhong_yin_suo_na
+              '17': di_yin_suo_na
+              '18': gao_yin_guan
+              '19': zhong_yin_guan
+              '20': di_yin_guan
+              '21': bei_di_yin_guan
+              '22': ba_wu
+              '23': xun
+              '24': xiao
+              '25': liu_qin
+              '26': xiao_ruan
+              '27': pi_pa
+              '28': yang_qin
+              '29': zhong_ruan
+              '30': da_ruan
+              '31': gu_zheng
+              '32': gu_qin
+              '33': kong_hou
+              '34': san_xian
+              '35': yun_luo
+              '36': bian_zhong
+              '37': violin
+              '38': viola
+              '39': cello
+              '40': double_bass
+              '41': piccolo
+              '42': flute
+              '43': oboe
+              '44': clarinet
+              '45': bassoon
+              '46': saxophone
+              '47': trumpet
+              '48': trombone
+              '49': horn
+              '50': tuba
+              '51': harp
+              '52': tubular_bells
+              '53': bells
+              '54': xylophone
+              '55': vibraphone
+              '56': marimba
+              '57': piano
+              '58': clavichord
+              '59': accordion
+              '60': organ
+      - name: slim
+        dtype: float32
+      - name: bright
+        dtype: float32
+      - name: dark
+        dtype: float32
+      - name: sharp
+        dtype: float32
+      - name: thick
+        dtype: float32
+      - name: thin
+        dtype: float32
+      - name: vigorous
+        dtype: float32
+      - name: silvery
+        dtype: float32
+      - name: raspy
+        dtype: float32
+      - name: full
+        dtype: float32
+      - name: coarse
+        dtype: float32
+      - name: pure
+        dtype: float32
+      - name: hoarse
+        dtype: float32
+      - name: consonant
+        dtype: float32
+      - name: mellow
+        dtype: float32
+      - name: muddy
+        dtype: float32
+    splits:
+      - name: Chinese
+        num_bytes: 15902
+        num_examples: 37
+      - name: Western
+        num_bytes: 10308
+        num_examples: 24
+    download_size: 106658464
+    dataset_size: 26210
+configs:
+  - config_name: default
+    data_files:
+      - split: Chinese
+        path: default/Chinese/data-*.arrow
+      - split: Western
+        path: default/Western/data-*.arrow
 ---
 
 # Dataset Card for Chinese Musical Instruments Timbre Evaluation Database
@@ -78,7 +199,7 @@ for item in ds["Western"]:
 
 ## Maintenance
 ```bash
-git clone [email protected]:datasets/ccmusic-database/instrument_timbre
+GIT_LFS_SKIP_SMUDGE=1 git clone [email protected]:datasets/ccmusic-database/instrument_timbre
 cd instrument_timbre
 ```
 

default/Chinese/data-00000-of-00001.arrow

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a2d52813f7b5e2ff97496cc7df5bf917e5e7bed707af57585a5de62a32175799
+size 42937568

default/Chinese/dataset_info.json

@@ -0,0 +1,199 @@
+{
+  "builder_name": "instrument_timbre",
+  "citation": "",
+  "config_name": "default",
+  "dataset_name": "instrument_timbre",
+  "dataset_size": 26210,
+  "description": "",
+  "download_checksums": {
+    "https://www.modelscope.cn/datasets/ccmusic-database/instrument_timbre/resolve/master/data/audio.zip": {
+      "num_bytes": 105477166,
+      "checksum": null
+    },
+    "https://www.modelscope.cn/datasets/ccmusic-database/instrument_timbre/resolve/master/data/mel.zip": {
+      "num_bytes": 1172068,
+      "checksum": null
+    },
+    "https://www.modelscope.cn/datasets/ccmusic-database/instrument_timbre/resolve/master/data/Chinese.csv": {
+      "num_bytes": 7402,
+      "checksum": null
+    },
+    "https://www.modelscope.cn/datasets/ccmusic-database/instrument_timbre/resolve/master/data/Western.csv": {
+      "num_bytes": 1828,
+      "checksum": null
+    }
+  },
+  "download_size": 106658464,
+  "features": {
+    "audio": {
+      "sampling_rate": 44100,
+      "_type": "Audio"
+    },
+    "mel": {
+      "_type": "Image"
+    },
+    "instrument": {
+      "names": [
+        "gao_hu",
+        "er_hu",
+        "zhong_hu",
+        "ge_hu",
+        "di_yin_ge_hu",
+        "jing_hu",
+        "ban_hu",
+        "bang_di",
+        "qu_di",
+        "xin_di",
+        "da_di",
+        "gao_yin_sheng",
+        "zhong_yin_sheng",
+        "di_yin_sheng",
+        "gao_yin_suo_na",
+        "zhong_yin_suo_na",
+        "ci_zhong_yin_suo_na",
+        "di_yin_suo_na",
+        "gao_yin_guan",
+        "zhong_yin_guan",
+        "di_yin_guan",
+        "bei_di_yin_guan",
+        "ba_wu",
+        "xun",
+        "xiao",
+        "liu_qin",
+        "xiao_ruan",
+        "pi_pa",
+        "yang_qin",
+        "zhong_ruan",
+        "da_ruan",
+        "gu_zheng",
+        "gu_qin",
+        "kong_hou",
+        "san_xian",
+        "yun_luo",
+        "bian_zhong",
+        "violin",
+        "viola",
+        "cello",
+        "double_bass",
+        "piccolo",
+        "flute",
+        "oboe",
+        "clarinet",
+        "bassoon",
+        "saxophone",
+        "trumpet",
+        "trombone",
+        "horn",
+        "tuba",
+        "harp",
+        "tubular_bells",
+        "bells",
+        "xylophone",
+        "vibraphone",
+        "marimba",
+        "piano",
+        "clavichord",
+        "accordion",
+        "organ"
+      ],
+      "_type": "ClassLabel"
+    },
+    "slim": {
+      "dtype": "float32",
+      "_type": "Value"
+    },
+    "bright": {
+      "dtype": "float32",
+      "_type": "Value"
+    },
+    "dark": {
+      "dtype": "float32",
+      "_type": "Value"
+    },
+    "sharp": {
+      "dtype": "float32",
+      "_type": "Value"
+    },
+    "thick": {
+      "dtype": "float32",
+      "_type": "Value"
+    },
+    "thin": {
+      "dtype": "float32",
+      "_type": "Value"
+    },
+    "vigorous": {
+      "dtype": "float32",
+      "_type": "Value"
+    },
+    "silvery": {
+      "dtype": "float32",
+      "_type": "Value"
+    },
+    "raspy": {
+      "dtype": "float32",
+      "_type": "Value"
+    },
+    "full": {
+      "dtype": "float32",
+      "_type": "Value"
+    },
+    "coarse": {
+      "dtype": "float32",
+      "_type": "Value"
+    },
+    "pure": {
+      "dtype": "float32",
+      "_type": "Value"
+    },
+    "hoarse": {
+      "dtype": "float32",
+      "_type": "Value"
+    },
+    "consonant": {
+      "dtype": "float32",
+      "_type": "Value"
+    },
+    "mellow": {
+      "dtype": "float32",
+      "_type": "Value"
+    },
+    "muddy": {
+      "dtype": "float32",
+      "_type": "Value"
+    }
+  },
+  "homepage": "https://www.modelscope.cn/datasets/ccmusic-database/instrument_timbre",
+  "license": "CC-BY-NC-ND",
+  "size_in_bytes": 106684674,
+  "splits": {
+    "Chinese": {
+      "name": "Chinese",
+      "num_bytes": 15902,
+      "num_examples": 37,
+      "dataset_name": "instrument_timbre"
+    },
+    "Western": {
+      "name": "Western",
+      "num_bytes": 10308,
+      "num_examples": 24,
+      "dataset_name": "instrument_timbre"
+    }
+  },
+  "supervised_keys": {
+    "input": "audio",
+    "output": "instrument"
+  },
+  "task_templates": [
+    {
+      "task": "audio-classification",
+      "label_column": "instrument"
+    }
+  ],
+  "version": {
+    "version_str": "0.0.0",
+    "major": 0,
+    "minor": 0,
+    "patch": 0
+  }
+}

default/Chinese/state.json

@@ -0,0 +1,13 @@
+{
+  "_data_files": [
+    {
+      "filename": "data-00000-of-00001.arrow"
+    }
+  ],
+  "_fingerprint": "93fe712e33297421",
+  "_format_columns": null,
+  "_format_kwargs": {},
+  "_format_type": null,
+  "_output_all_columns": false,
+  "_split": "Chinese"
+}

default/Western/data-00000-of-00001.arrow

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a793d7bbb031cdea3755c568a2991e1096ed726b64bda7b15f7a4bfb69713065
+size 139964448

default/Western/dataset_info.json

@@ -0,0 +1,199 @@
+{
+  "builder_name": "instrument_timbre",
+  "citation": "",
+  "config_name": "default",
+  "dataset_name": "instrument_timbre",
+  "dataset_size": 26210,
+  "description": "",
+  "download_checksums": {
+    "https://www.modelscope.cn/datasets/ccmusic-database/instrument_timbre/resolve/master/data/audio.zip": {
+      "num_bytes": 105477166,
+      "checksum": null
+    },
+    "https://www.modelscope.cn/datasets/ccmusic-database/instrument_timbre/resolve/master/data/mel.zip": {
+      "num_bytes": 1172068,
+      "checksum": null
+    },
+    "https://www.modelscope.cn/datasets/ccmusic-database/instrument_timbre/resolve/master/data/Chinese.csv": {
+      "num_bytes": 7402,
+      "checksum": null
+    },
+    "https://www.modelscope.cn/datasets/ccmusic-database/instrument_timbre/resolve/master/data/Western.csv": {
+      "num_bytes": 1828,
+      "checksum": null
+    }
+  },
+  "download_size": 106658464,
+  "features": {
+    "audio": {
+      "sampling_rate": 44100,
+      "_type": "Audio"
+    },
+    "mel": {
+      "_type": "Image"
+    },
+    "instrument": {
+      "names": [
+        "gao_hu",
+        "er_hu",
+        "zhong_hu",
+        "ge_hu",
+        "di_yin_ge_hu",
+        "jing_hu",
+        "ban_hu",
+        "bang_di",
+        "qu_di",
+        "xin_di",
+        "da_di",
+        "gao_yin_sheng",
+        "zhong_yin_sheng",
+        "di_yin_sheng",
+        "gao_yin_suo_na",
+        "zhong_yin_suo_na",
+        "ci_zhong_yin_suo_na",
+        "di_yin_suo_na",
+        "gao_yin_guan",
+        "zhong_yin_guan",
+        "di_yin_guan",
+        "bei_di_yin_guan",
+        "ba_wu",
+        "xun",
+        "xiao",
+        "liu_qin",
+        "xiao_ruan",
+        "pi_pa",
+        "yang_qin",
+        "zhong_ruan",
+        "da_ruan",
+        "gu_zheng",
+        "gu_qin",
+        "kong_hou",
+        "san_xian",
+        "yun_luo",
+        "bian_zhong",
+        "violin",
+        "viola",
+        "cello",
+        "double_bass",
+        "piccolo",
+        "flute",
+        "oboe",
+        "clarinet",
+        "bassoon",
+        "saxophone",
+        "trumpet",
+        "trombone",
+        "horn",
+        "tuba",
+        "harp",
+        "tubular_bells",
+        "bells",
+        "xylophone",
+        "vibraphone",
+        "marimba",
+        "piano",
+        "clavichord",
+        "accordion",
+        "organ"
+      ],
+      "_type": "ClassLabel"
+    },
+    "slim": {
+      "dtype": "float32",
+      "_type": "Value"
+    },
+    "bright": {
+      "dtype": "float32",
+      "_type": "Value"
+    },
+    "dark": {
+      "dtype": "float32",
+      "_type": "Value"
+    },
+    "sharp": {
+      "dtype": "float32",
+      "_type": "Value"
+    },
+    "thick": {
+      "dtype": "float32",
+      "_type": "Value"
+    },
+    "thin": {
+      "dtype": "float32",
+      "_type": "Value"
+    },
+    "vigorous": {
+      "dtype": "float32",
+      "_type": "Value"
+    },
+    "silvery": {
+      "dtype": "float32",
+      "_type": "Value"
+    },
+    "raspy": {
+      "dtype": "float32",
+      "_type": "Value"
+    },
+    "full": {
+      "dtype": "float32",
+      "_type": "Value"
+    },
+    "coarse": {
+      "dtype": "float32",
+      "_type": "Value"
+    },
+    "pure": {
+      "dtype": "float32",
+      "_type": "Value"
+    },
+    "hoarse": {
+      "dtype": "float32",
+      "_type": "Value"
+    },
+    "consonant": {
+      "dtype": "float32",
+      "_type": "Value"
+    },
+    "mellow": {
+      "dtype": "float32",
+      "_type": "Value"
+    },
+    "muddy": {
+      "dtype": "float32",
+      "_type": "Value"
+    }
+  },
+  "homepage": "https://www.modelscope.cn/datasets/ccmusic-database/instrument_timbre",
+  "license": "CC-BY-NC-ND",
+  "size_in_bytes": 106684674,
+  "splits": {
+    "Chinese": {
+      "name": "Chinese",
+      "num_bytes": 15902,
+      "num_examples": 37,
+      "dataset_name": "instrument_timbre"
+    },
+    "Western": {
+      "name": "Western",
+      "num_bytes": 10308,
+      "num_examples": 24,
+      "dataset_name": "instrument_timbre"
+    }
+  },
+  "supervised_keys": {
+    "input": "audio",
+    "output": "instrument"
+  },
+  "task_templates": [
+    {
+      "task": "audio-classification",
+      "label_column": "instrument"
+    }
+  ],
+  "version": {
+    "version_str": "0.0.0",
+    "major": 0,
+    "minor": 0,
+    "patch": 0
+  }
+}

default/Western/state.json

@@ -0,0 +1,13 @@
+{
+  "_data_files": [
+    {
+      "filename": "data-00000-of-00001.arrow"
+    }
+  ],
+  "_fingerprint": "d79e4c99ed74e94d",
+  "_format_columns": null,
+  "_format_kwargs": {},
+  "_format_type": null,
+  "_output_all_columns": false,
+  "_split": "Western"
+}

default/dataset_dict.json

@@ -0,0 +1 @@
+{"splits": ["Chinese", "Western"]}

instrument_timbre.py

@@ -1,192 +0,0 @@
-import os
-import datasets
-import pandas as pd
-from datasets.tasks import AudioClassification
-
-
-_NAMES = [
-    # Chinese 0-36
-    "gao_hu",
-    "er_hu",
-    "zhong_hu",
-    "ge_hu",
-    "di_yin_ge_hu",
-    "jing_hu",
-    "ban_hu",
-    "bang_di",
-    "qu_di",
-    "xin_di",
-    "da_di",
-    "gao_yin_sheng",
-    "zhong_yin_sheng",
-    "di_yin_sheng",
-    "gao_yin_suo_na",
-    "zhong_yin_suo_na",
-    "ci_zhong_yin_suo_na",
-    "di_yin_suo_na",
-    "gao_yin_guan",
-    "zhong_yin_guan",
-    "di_yin_guan",
-    "bei_di_yin_guan",
-    "ba_wu",
-    "xun",
-    "xiao",
-    "liu_qin",
-    "xiao_ruan",
-    "pi_pa",
-    "yang_qin",
-    "zhong_ruan",
-    "da_ruan",
-    "gu_zheng",
-    "gu_qin",
-    "kong_hou",
-    "san_xian",
-    "yun_luo",
-    "bian_zhong",
-    # Western 37-60
-    "violin",
-    "viola",
-    "cello",
-    "double_bass",
-    "piccolo",
-    "flute",
-    "oboe",
-    "clarinet",
-    "bassoon",
-    "saxophone",
-    "trumpet",
-    "trombone",
-    "horn",
-    "tuba",
-    "harp",
-    "tubular_bells",
-    "bells",
-    "xylophone",
-    "vibraphone",
-    "marimba",
-    "piano",
-    "clavichord",
-    "accordion",
-    "organ",
-]
-
-_HOMEPAGE = f"https://www.modelscope.cn/datasets/ccmusic-database/{os.path.basename(__file__)[:-3]}"
-
-_DOMAIN = f"{_HOMEPAGE}/resolve/master/data"
-
-_URLS = {
-    "audio": f"{_DOMAIN}/audio.zip",
-    "mel": f"{_DOMAIN}/mel.zip",
-    "Chinese": f"{_DOMAIN}/Chinese.csv",
-    "Western": f"{_DOMAIN}/Western.csv",
-}
-
-
-class instrument_timbre(datasets.GeneratorBasedBuilder):
-    def _info(self):
-        return datasets.DatasetInfo(
-            features=datasets.Features(
-                {
-                    "audio": datasets.Audio(sampling_rate=44100),
-                    "mel": datasets.Image(),
-                    "instrument": datasets.features.ClassLabel(names=_NAMES),
-                    "slim": datasets.Value("float32"),
-                    "bright": datasets.Value("float32"),
-                    "dark": datasets.Value("float32"),
-                    "sharp": datasets.Value("float32"),
-                    "thick": datasets.Value("float32"),
-                    "thin": datasets.Value("float32"),
-                    "vigorous": datasets.Value("float32"),
-                    "silvery": datasets.Value("float32"),
-                    "raspy": datasets.Value("float32"),
-                    "full": datasets.Value("float32"),
-                    "coarse": datasets.Value("float32"),
-                    "pure": datasets.Value("float32"),
-                    "hoarse": datasets.Value("float32"),
-                    "consonant": datasets.Value("float32"),
-                    "mellow": datasets.Value("float32"),
-                    "muddy": datasets.Value("float32"),
-                }
-            ),
-            supervised_keys=("audio", "instrument"),
-            homepage=_HOMEPAGE,
-            license="CC-BY-NC-ND",
-            version="1.2.0",
-            task_templates=[
-                AudioClassification(
-                    task="audio-classification",
-                    audio_column="audio",
-                    label_column="instrument",
-                )
-            ],
-        )
-
-    def _split_generators(self, dl_manager):
-        audio_files = dl_manager.download_and_extract(_URLS["audio"])
-        mel_files = dl_manager.download_and_extract(_URLS["mel"])
-        cn_ins_eval = dl_manager.download(_URLS["Chinese"])
-        en_ins_eval = dl_manager.download(_URLS["Western"])
-        cn_labels = pd.read_csv(cn_ins_eval, index_col="instrument_id")
-        en_labels = pd.read_csv(en_ins_eval, index_col="instrument_id")
-        cn_dataset, en_dataset = {}, {}
-        for path in dl_manager.iter_files([audio_files]):
-            fname: str = os.path.basename(path)
-            i = int(fname.split(".wa")[0]) - 1
-            if fname.endswith(".wav"):
-                region = os.path.basename(os.path.dirname(path))
-                labels = cn_labels if region == "Chinese" else en_labels
-                data = {
-                    "audio": path,
-                    "mel": "",
-                    "instrument": labels.iloc[i]["instrument_name"],
-                    "slim": labels.iloc[i]["slim"],
-                    "bright": labels.iloc[i]["bright"],
-                    "dark": labels.iloc[i]["dim"],
-                    "sharp": labels.iloc[i]["sharp"],
-                    "thick": labels.iloc[i]["thick"],
-                    "thin": labels.iloc[i]["thin"],
-                    "vigorous": labels.iloc[i]["solid"],
-                    "silvery": labels.iloc[i]["clear"],
-                    "raspy": labels.iloc[i]["dry"],
-                    "full": labels.iloc[i]["plump"],
-                    "coarse": labels.iloc[i]["rough"],
-                    "pure": labels.iloc[i]["pure"],
-                    "hoarse": labels.iloc[i]["hoarse"],
-                    "consonant": labels.iloc[i]["harmonious"],
-                    "mellow": labels.iloc[i]["soft"],
-                    "muddy": labels.iloc[i]["turbid"],
-                }
-                if region == "Chinese":
-                    cn_dataset[i] = data
-
-                else:
-                    en_dataset[i] = data
-
-        for path in dl_manager.iter_files([mel_files]):
-            fname = os.path.basename(path)
-            i = int(fname.split(".jp")[0]) - 1
-            if fname.endswith(".jpg"):
-                if os.path.basename(os.path.dirname(path)) == "Chinese":
-                    cn_dataset[i]["mel"] = path
-
-                else:
-                    en_dataset[i]["mel"] = path
-
-        return [
-            datasets.SplitGenerator(
-                name="Chinese",
-                gen_kwargs={
-                    "files": [cn_dataset[k] for k in sorted(cn_dataset)],
-                },
-            ),
-            datasets.SplitGenerator(
-                name="Western",
-                gen_kwargs={
-                    "files": [en_dataset[k] for k in sorted(en_dataset)],
-                },
-            ),
-        ]
-
-    def _generate_examples(self, files):
-        for i, path in enumerate(files):
-            yield i, path