2 arrows

README.md

@@ -11,9 +11,76 @@ tags:
 pretty_name: Erhu Playing Technique Dataset
 size_categories:
 - 1K<n<10K
-viewer: false
+dataset_info:
+  - config_name: default
+    features:
+      - name: audio
+        dtype:
+          audio:
+            sampling_rate: 44100
+      - name: mel
+        dtype: image
+      - name: label
+        dtype: int8
+      - name: name
+        dtype: string
+      - name: cname
+        dtype: string
+      - name: pinyin
+        dtype: string
+    splits:
+      - name: train
+        num_bytes: 344265
+        num_examples: 748
+      - name: validation
+        num_bytes: 115509
+        num_examples: 251
+      - name: test
+        num_bytes: 116824
+        num_examples: 254
+    download_size: 229212910
+    dataset_size: 576598
+  - config_name: eval
+    features:
+      - name: mel
+        dtype: image
+      - name: cqt
+        dtype: image
+      - name: chroma
+        dtype: image
+      - name: label
+        dtype: int8
+    splits:
+      - name: train
+        num_bytes: 454379
+        num_examples: 748
+      - name: validation
+        num_bytes: 152431
+        num_examples: 251
+      - name: test
+        num_bytes: 154162
+        num_examples: 254
+    download_size: 127625997
+    dataset_size: 760972
+configs:
+  - config_name: default
+    data_files:
+      - split: train
+        path: default/train/data-*.arrow
+      - split: validation
+        path: default/validation/data-*.arrow
+      - split: test
+        path: default/test/data-*.arrow
+  - config_name: eval
+    data_files:
+      - split: train
+        path: eval/train/data-*.arrow
+      - split: validation
+        path: eval/validation/data-*.arrow
+      - split: test
+        path: eval/test/data-*.arrow
 ---
-If you want to view the dataset, please visit [here](https://www.modelscope.cn/datasets/ccmusic-database/erhu_playing_tech/dataPeview)
+
 # Dataset Card for Erhu Playing Technique
 ## Original Content
 This dataset was created and has been utilized for Erhu playing technique detection by [[1]](https://arxiv.org/pdf/1910.09021), which has not undergone peer review. The original dataset comprises 1,253 Erhu audio clips, all performed by professional Erhu players. These clips were annotated according to three hierarchical levels, resulting in annotations for four, seven, and 11 categories. Part of the audio data is sourced from the CTIS dataset described earlier.
@@ -21,7 +88,7 @@ This dataset was created and has been utilized for Erhu playing technique detect
 ## Integration
 We first perform label cleaning to abandon the labels for the four and seven categories, since they do not strictly form a hierarchical relationship, and there are also missing data problems. This process leaves us with only the labels for the 11 categories. Then, we add Chinese character label and Chinese pinyin label to enhance comprehensibility. The 11 labels are: Detache (分弓), Diangong (垫弓), Harmonic (泛音), Legato\slide\glissando (连弓\滑音\连音), Percussive (击弓), Pizzicato (拨弦), Ricochet (抛弓), Staccato (断弓), Tremolo (震音), Trill (颤音), and Vibrato (揉弦). After integration, the data structure contains six columns: audio (with a sampling rate of 44,100 Hz), mel spectrograms, numeric label, Italian label, Chinese character label, and Chinese pinyin label. The total number of audio clips remains at 1,253, with a total duration of 25.81 minutes. The average duration is 1.24 seconds.
 
-We constructed the <a href="#11-class-subset">default subset</a> of the current integrated version dataset based on its 11 classification data and optimized the names of the 11 categories. The data structure can be seen in the [viewer](https://www.modelscope.cn/datasets/ccmusic-database/erhu_playing_tech/dataPeview). Although the original dataset has been cited in some articles, the experiments in those articles lack reproducibility. In order to demonstrate the effectiveness of the default subset, we further processed the data and constructed the [eval subset](#eval-subset) to supplement the evaluation of this integrated version dataset. The results of the evaluation can be viewed in [[2]](https://huggingface.co/ccmusic-database/erhu_playing_tech). In addition, the labels of categories 4 and 7 in the original dataset were not discarded. Instead, they were separately constructed into [4_class subset](#4-class-subset) and [7_class subset](#7-class-subset). However, these two subsets have not been evaluated and therefore are not reflected in our paper.
+We constructed the <a href="#11-class-subset">default subset</a> of the current integrated version dataset based on its 11 classification data and optimized the names of the 11 categories. The data structure can be seen in the [viewer](https://huggingface.co/datasets/ccmusic-database/erhu_playing_tech/viewer). Although the original dataset has been cited in some articles, the experiments in those articles lack reproducibility. In order to demonstrate the effectiveness of the default subset, we further processed the data and constructed the [eval subset](#eval-subset) to supplement the evaluation of this integrated version dataset. The results of the evaluation can be viewed in [[2]](https://huggingface.co/ccmusic-database/erhu_playing_tech). In addition, the labels of categories 4 and 7 in the original dataset were not discarded. Instead, they were separately constructed into [4_class subset](#4-class-subset) and [7_class subset](#7-class-subset). However, these two subsets have not been evaluated and therefore are not reflected in our paper.
 
 ## Statistics
 | ![](https://www.modelscope.cn/datasets/ccmusic-database/erhu_playing_tech/resolve/master/data/erhu_pie.jpg) | ![](https://www.modelscope.cn/datasets/ccmusic-database/erhu_playing_tech/resolve/master/data/erhu.jpg) | ![](https://www.modelscope.cn/datasets/ccmusic-database/erhu_playing_tech/resolve/master/data/erhu_bar.jpg) | ![](https://www.modelscope.cn/datasets/ccmusic-database/erhu_playing_tech/resolve/master/data/erhu.png) |

default/dataset_dict.json

@@ -0,0 +1 @@
+{"splits": ["train", "validation", "test"]}

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

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:af8048f6c5141902bcb842cc47e3be16f30af358ccbfdfdf7c10897065896209
+size 28891424

default/test/dataset_info.json

@@ -0,0 +1,85 @@
+{
+  "builder_name": "erhu_playing_tech",
+  "citation": "",
+  "config_name": "11_classes",
+  "dataset_name": "erhu_playing_tech",
+  "dataset_size": 576598,
+  "description": "",
+  "download_checksums": {
+    "https://www.modelscope.cn/datasets/ccmusic-database/erhu_playing_tech/resolve/master/data/audio.zip": {
+      "num_bytes": 220667351,
+      "checksum": null
+    },
+    "https://www.modelscope.cn/datasets/ccmusic-database/erhu_playing_tech/resolve/master/data/mel.zip": {
+      "num_bytes": 8545559,
+      "checksum": null
+    }
+  },
+  "download_size": 229212910,
+  "features": {
+    "audio": {
+      "sampling_rate": 44100,
+      "_type": "Audio"
+    },
+    "mel": {
+      "_type": "Image"
+    },
+    "label": {
+      "names": [
+        "vibrato",
+        "trill",
+        "tremolo",
+        "staccato",
+        "ricochet",
+        "pizzicato",
+        "percussive",
+        "legato_slide_glissando",
+        "harmonic",
+        "diangong",
+        "detache"
+      ],
+      "_type": "ClassLabel"
+    },
+    "name": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "cname": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "pinyin": {
+      "dtype": "string",
+      "_type": "Value"
+    }
+  },
+  "homepage": "https://www.modelscope.cn/datasets/ccmusic-database/erhu_playing_tech",
+  "license": "CC-BY-NC-ND",
+  "size_in_bytes": 229789508,
+  "splits": {
+    "train": {
+      "name": "train",
+      "num_bytes": 344265,
+      "num_examples": 748,
+      "dataset_name": "erhu_playing_tech"
+    },
+    "validation": {
+      "name": "validation",
+      "num_bytes": 115509,
+      "num_examples": 251,
+      "dataset_name": "erhu_playing_tech"
+    },
+    "test": {
+      "name": "test",
+      "num_bytes": 116824,
+      "num_examples": 254,
+      "dataset_name": "erhu_playing_tech"
+    }
+  },
+  "version": {
+    "version_str": "0.0.0",
+    "major": 0,
+    "minor": 0,
+    "patch": 0
+  }
+}

default/test/state.json

@@ -0,0 +1,13 @@
+{
+  "_data_files": [
+    {
+      "filename": "data-00000-of-00001.arrow"
+    }
+  ],
+  "_fingerprint": "3b23bbfb17e19f92",
+  "_format_columns": null,
+  "_format_kwargs": {},
+  "_format_type": null,
+  "_output_all_columns": false,
+  "_split": "test"
+}

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

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a13b9f32e7e9972b13d8eba8a53ae04ccad29b63064e22cb3a9f787b799340cb
+size 83851232

default/train/dataset_info.json

@@ -0,0 +1,85 @@
+{
+  "builder_name": "erhu_playing_tech",
+  "citation": "",
+  "config_name": "11_classes",
+  "dataset_name": "erhu_playing_tech",
+  "dataset_size": 576598,
+  "description": "",
+  "download_checksums": {
+    "https://www.modelscope.cn/datasets/ccmusic-database/erhu_playing_tech/resolve/master/data/audio.zip": {
+      "num_bytes": 220667351,
+      "checksum": null
+    },
+    "https://www.modelscope.cn/datasets/ccmusic-database/erhu_playing_tech/resolve/master/data/mel.zip": {
+      "num_bytes": 8545559,
+      "checksum": null
+    }
+  },
+  "download_size": 229212910,
+  "features": {
+    "audio": {
+      "sampling_rate": 44100,
+      "_type": "Audio"
+    },
+    "mel": {
+      "_type": "Image"
+    },
+    "label": {
+      "names": [
+        "vibrato",
+        "trill",
+        "tremolo",
+        "staccato",
+        "ricochet",
+        "pizzicato",
+        "percussive",
+        "legato_slide_glissando",
+        "harmonic",
+        "diangong",
+        "detache"
+      ],
+      "_type": "ClassLabel"
+    },
+    "name": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "cname": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "pinyin": {
+      "dtype": "string",
+      "_type": "Value"
+    }
+  },
+  "homepage": "https://www.modelscope.cn/datasets/ccmusic-database/erhu_playing_tech",
+  "license": "CC-BY-NC-ND",
+  "size_in_bytes": 229789508,
+  "splits": {
+    "train": {
+      "name": "train",
+      "num_bytes": 344265,
+      "num_examples": 748,
+      "dataset_name": "erhu_playing_tech"
+    },
+    "validation": {
+      "name": "validation",
+      "num_bytes": 115509,
+      "num_examples": 251,
+      "dataset_name": "erhu_playing_tech"
+    },
+    "test": {
+      "name": "test",
+      "num_bytes": 116824,
+      "num_examples": 254,
+      "dataset_name": "erhu_playing_tech"
+    }
+  },
+  "version": {
+    "version_str": "0.0.0",
+    "major": 0,
+    "minor": 0,
+    "patch": 0
+  }
+}

default/train/state.json

@@ -0,0 +1,13 @@
+{
+  "_data_files": [
+    {
+      "filename": "data-00000-of-00001.arrow"
+    }
+  ],
+  "_fingerprint": "e25a6f7d779d2608",
+  "_format_columns": null,
+  "_format_kwargs": {},
+  "_format_type": null,
+  "_output_all_columns": false,
+  "_split": "train"
+}

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

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8a1fddd5fb306367db4344df0e2d61a93aafa8794ad22e9b1f4034f5822304de
+size 28426056

default/validation/dataset_info.json

@@ -0,0 +1,85 @@
+{
+  "builder_name": "erhu_playing_tech",
+  "citation": "",
+  "config_name": "11_classes",
+  "dataset_name": "erhu_playing_tech",
+  "dataset_size": 576598,
+  "description": "",
+  "download_checksums": {
+    "https://www.modelscope.cn/datasets/ccmusic-database/erhu_playing_tech/resolve/master/data/audio.zip": {
+      "num_bytes": 220667351,
+      "checksum": null
+    },
+    "https://www.modelscope.cn/datasets/ccmusic-database/erhu_playing_tech/resolve/master/data/mel.zip": {
+      "num_bytes": 8545559,
+      "checksum": null
+    }
+  },
+  "download_size": 229212910,
+  "features": {
+    "audio": {
+      "sampling_rate": 44100,
+      "_type": "Audio"
+    },
+    "mel": {
+      "_type": "Image"
+    },
+    "label": {
+      "names": [
+        "vibrato",
+        "trill",
+        "tremolo",
+        "staccato",
+        "ricochet",
+        "pizzicato",
+        "percussive",
+        "legato_slide_glissando",
+        "harmonic",
+        "diangong",
+        "detache"
+      ],
+      "_type": "ClassLabel"
+    },
+    "name": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "cname": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "pinyin": {
+      "dtype": "string",
+      "_type": "Value"
+    }
+  },
+  "homepage": "https://www.modelscope.cn/datasets/ccmusic-database/erhu_playing_tech",
+  "license": "CC-BY-NC-ND",
+  "size_in_bytes": 229789508,
+  "splits": {
+    "train": {
+      "name": "train",
+      "num_bytes": 344265,
+      "num_examples": 748,
+      "dataset_name": "erhu_playing_tech"
+    },
+    "validation": {
+      "name": "validation",
+      "num_bytes": 115509,
+      "num_examples": 251,
+      "dataset_name": "erhu_playing_tech"
+    },
+    "test": {
+      "name": "test",
+      "num_bytes": 116824,
+      "num_examples": 254,
+      "dataset_name": "erhu_playing_tech"
+    }
+  },
+  "version": {
+    "version_str": "0.0.0",
+    "major": 0,
+    "minor": 0,
+    "patch": 0
+  }
+}

default/validation/state.json

@@ -0,0 +1,13 @@
+{
+  "_data_files": [
+    {
+      "filename": "data-00000-of-00001.arrow"
+    }
+  ],
+  "_fingerprint": "a8272097a8b970b3",
+  "_format_columns": null,
+  "_format_kwargs": {},
+  "_format_type": null,
+  "_output_all_columns": false,
+  "_split": "validation"
+}

erhu_playing_tech.py

@@ -1,183 +0,0 @@
-import os
-import random
-import hashlib
-import datasets
-
-
-_NAMES = {
-    "4_classes": {
-        "trill": ["颤音", "chan4_yin1"],
-        "staccato": ["断弓", "duan4_gong1"],
-        "slide": ["滑音", "hua2_yin1"],
-        "others": ["其它", "qi2_ta1"],
-    },
-    "7_classes": {
-        "trill_short_up": ["短上颤音", "duan3_shang4_chan4_yin1"],
-        "trill_long": ["长颤音", "chang2_chan4_yin1"],
-        "staccato": ["断弓", "duan4_gong1"],
-        "slide_up": ["上滑音", "shang4_hua2_yin1"],
-        "slide_legato": ["连滑音", "lian2_hua2_yin1"],
-        "slide_down": ["下滑音", "xia4_hua2_yin1"],
-        "others": ["其它", "qi2_ta1"],
-    },
-    "11_classes": {
-        "vibrato": ["揉弦", "rou2_xian2"],
-        "trill": ["颤音", "chan4_yin1"],
-        "tremolo": ["震音", "zhen4_yin1"],
-        "staccato": ["断弓", "duan4_gong1"],
-        "ricochet": ["抛弓", "pao1_gong1"],
-        "pizzicato": ["拨弦", "bo1_xian2"],
-        "percussive": ["击弓", "ji1_gong1"],
-        "legato_slide_glissando": [
-            "连弓、滑音、连音",
-            "lian2_gong1, hua2_yin1, lian2_yin1",
-        ],
-        "harmonic": ["泛音", "fan4_yin1"],
-        "diangong": ["垫弓", "dian4_gong1"],
-        "detache": ["分弓", "fen1_gong1"],
-    },
-}
-
-_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",
-    "eval": f"{_DOMAIN}/eval.zip",
-}
-
-
-class erhu_playing_tech(datasets.GeneratorBasedBuilder):
-    def _info(self):
-        if self.config.name == "default":
-            self.config.name = "11_classes"
-
-        return datasets.DatasetInfo(
-            features=(
-                datasets.Features(
-                    {
-                        "audio": datasets.Audio(sampling_rate=44100),
-                        "mel": datasets.Image(),
-                        "label": datasets.features.ClassLabel(
-                            names=list(_NAMES[self.config.name].keys())
-                        ),
-                        "name": datasets.Value("string"),
-                        "cname": datasets.Value("string"),
-                        "pinyin": datasets.Value("string"),
-                    }
-                )
-                if self.config.name != "eval"
-                else datasets.Features(
-                    {
-                        "mel": datasets.Image(),
-                        "cqt": datasets.Image(),
-                        "chroma": datasets.Image(),
-                        "label": datasets.features.ClassLabel(
-                            names=_NAMES["11_classes"]
-                        ),
-                    }
-                )
-            ),
-            homepage=_HOMEPAGE,
-            license="CC-BY-NC-ND",
-            version="1.2.0",
-        )
-
-    def _str2md5(self, original_string: str):
-        md5_obj = hashlib.md5()
-        md5_obj.update(original_string.encode("utf-8"))
-        return md5_obj.hexdigest()
-
-    def _split_generators(self, dl_manager):
-        if self.config.name != "eval":
-            audio_files = dl_manager.download_and_extract(_URLS["audio"])
-            mel_files = dl_manager.download_and_extract(_URLS["mel"])
-            files = {}
-            for fpath in dl_manager.iter_files([audio_files]):
-                fname = os.path.basename(fpath)
-                dirname = os.path.dirname(fpath)
-                subset = os.path.basename(os.path.dirname(dirname))
-                if self.config.name == subset and fname.endswith(".wav"):
-                    cls = f"{subset}/{os.path.basename(dirname)}/"
-                    item_id = self._str2md5(cls + fname.split(".wa")[0])
-                    files[item_id] = {"audio": fpath}
-
-            for fpath in dl_manager.iter_files([mel_files]):
-                fname = os.path.basename(fpath)
-                dirname = os.path.dirname(fpath)
-                subset = os.path.basename(os.path.dirname(dirname))
-                if self.config.name == subset and fname.endswith(".jpg"):
-                    cls = f"{subset}/{os.path.basename(dirname)}/"
-                    item_id = self._str2md5(cls + fname.split(".jp")[0])
-                    files[item_id]["mel"] = fpath
-
-            dataset = list(files.values())
-
-        else:
-            eval_files = dl_manager.download_and_extract(_URLS["eval"])
-            dataset = []
-            for fpath in dl_manager.iter_files([eval_files]):
-                fname: str = os.path.basename(fpath)
-                if "_mel" in fname and fname.endswith(".jpg"):
-                    dataset.append({"mel": fpath, "label": fname.split("__")[0]})
-
-        categories = {}
-        names = _NAMES["11_classes" if "eval" in self.config.name else self.config.name]
-        for name in names:
-            categories[name] = []
-
-        for data in dataset:
-            if self.config.name != "eval":
-                data["label"] = os.path.basename(os.path.dirname(data["audio"]))
-
-            categories[data["label"]].append(data)
-
-        testset, validset, trainset = [], [], []
-        for cls in categories:
-            random.shuffle(categories[cls])
-            count = len(categories[cls])
-            p60 = int(count * 0.6)
-            p80 = int(count * 0.8)
-            trainset += categories[cls][:p60]
-            validset += categories[cls][p60:p80]
-            testset += categories[cls][p80:]
-
-        random.shuffle(trainset)
-        random.shuffle(validset)
-        random.shuffle(testset)
-
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN, gen_kwargs={"files": trainset}
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION, gen_kwargs={"files": validset}
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST, gen_kwargs={"files": testset}
-            ),
-        ]
-
-    def _generate_examples(self, files):
-        if self.config.name != "eval":
-            for i, item in enumerate(files):
-                pt = item["label"]
-                yield i, {
-                    "audio": item["audio"],
-                    "mel": item["mel"],
-                    "label": pt,
-                    "name": pt,
-                    "cname": _NAMES[self.config.name][pt][0],
-                    "pinyin": _NAMES[self.config.name][pt][1],
-                }
-
-        else:
-            for i, item in enumerate(files):
-                yield i, {
-                    "mel": item["mel"],
-                    "cqt": item["mel"].replace("_mel", "_cqt"),
-                    "chroma": item["mel"].replace("_mel", "_chroma"),
-                    "label": item["label"],
-                }

eval/dataset_dict.json

@@ -0,0 +1 @@
+{"splits": ["train", "validation", "test"]}

eval/test/data-00000-of-00001.arrow

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bd1d9fbcf22c3e66ec8747c42726895b5921704599413624455cb698313a72a5
+size 27087792

eval/test/dataset_info.json

@@ -0,0 +1,71 @@
+{
+  "builder_name": "erhu_playing_tech",
+  "citation": "",
+  "config_name": "eval",
+  "dataset_name": "erhu_playing_tech",
+  "dataset_size": 760972,
+  "description": "",
+  "download_checksums": {
+    "https://www.modelscope.cn/datasets/ccmusic-database/erhu_playing_tech/resolve/master/data/eval.zip": {
+      "num_bytes": 127625997,
+      "checksum": null
+    }
+  },
+  "download_size": 127625997,
+  "features": {
+    "mel": {
+      "_type": "Image"
+    },
+    "cqt": {
+      "_type": "Image"
+    },
+    "chroma": {
+      "_type": "Image"
+    },
+    "label": {
+      "names": [
+        "vibrato",
+        "trill",
+        "tremolo",
+        "staccato",
+        "ricochet",
+        "pizzicato",
+        "percussive",
+        "legato_slide_glissando",
+        "harmonic",
+        "diangong",
+        "detache"
+      ],
+      "_type": "ClassLabel"
+    }
+  },
+  "homepage": "https://www.modelscope.cn/datasets/ccmusic-database/erhu_playing_tech",
+  "license": "CC-BY-NC-ND",
+  "size_in_bytes": 128386969,
+  "splits": {
+    "train": {
+      "name": "train",
+      "num_bytes": 454379,
+      "num_examples": 748,
+      "dataset_name": "erhu_playing_tech"
+    },
+    "validation": {
+      "name": "validation",
+      "num_bytes": 152431,
+      "num_examples": 251,
+      "dataset_name": "erhu_playing_tech"
+    },
+    "test": {
+      "name": "test",
+      "num_bytes": 154162,
+      "num_examples": 254,
+      "dataset_name": "erhu_playing_tech"
+    }
+  },
+  "version": {
+    "version_str": "0.0.0",
+    "major": 0,
+    "minor": 0,
+    "patch": 0
+  }
+}

eval/test/state.json

@@ -0,0 +1,13 @@
+{
+  "_data_files": [
+    {
+      "filename": "data-00000-of-00001.arrow"
+    }
+  ],
+  "_fingerprint": "15b9909f9dccd41d",
+  "_format_columns": null,
+  "_format_kwargs": {},
+  "_format_type": null,
+  "_output_all_columns": false,
+  "_split": "test"
+}

eval/train/data-00000-of-00001.arrow

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f7538e207a1d04170b64a0f284412be1a06ed497eb8f3ecedfcd8f1b31a13e86
+size 79243168

eval/train/dataset_info.json

@@ -0,0 +1,71 @@
+{
+  "builder_name": "erhu_playing_tech",
+  "citation": "",
+  "config_name": "eval",
+  "dataset_name": "erhu_playing_tech",
+  "dataset_size": 760972,
+  "description": "",
+  "download_checksums": {
+    "https://www.modelscope.cn/datasets/ccmusic-database/erhu_playing_tech/resolve/master/data/eval.zip": {
+      "num_bytes": 127625997,
+      "checksum": null
+    }
+  },
+  "download_size": 127625997,
+  "features": {
+    "mel": {
+      "_type": "Image"
+    },
+    "cqt": {
+      "_type": "Image"
+    },
+    "chroma": {
+      "_type": "Image"
+    },
+    "label": {
+      "names": [
+        "vibrato",
+        "trill",
+        "tremolo",
+        "staccato",
+        "ricochet",
+        "pizzicato",
+        "percussive",
+        "legato_slide_glissando",
+        "harmonic",
+        "diangong",
+        "detache"
+      ],
+      "_type": "ClassLabel"
+    }
+  },
+  "homepage": "https://www.modelscope.cn/datasets/ccmusic-database/erhu_playing_tech",
+  "license": "CC-BY-NC-ND",
+  "size_in_bytes": 128386969,
+  "splits": {
+    "train": {
+      "name": "train",
+      "num_bytes": 454379,
+      "num_examples": 748,
+      "dataset_name": "erhu_playing_tech"
+    },
+    "validation": {
+      "name": "validation",
+      "num_bytes": 152431,
+      "num_examples": 251,
+      "dataset_name": "erhu_playing_tech"
+    },
+    "test": {
+      "name": "test",
+      "num_bytes": 154162,
+      "num_examples": 254,
+      "dataset_name": "erhu_playing_tech"
+    }
+  },
+  "version": {
+    "version_str": "0.0.0",
+    "major": 0,
+    "minor": 0,
+    "patch": 0
+  }
+}

eval/train/state.json

@@ -0,0 +1,13 @@
+{
+  "_data_files": [
+    {
+      "filename": "data-00000-of-00001.arrow"
+    }
+  ],
+  "_fingerprint": "58f064cc01664c67",
+  "_format_columns": null,
+  "_format_kwargs": {},
+  "_format_type": null,
+  "_output_all_columns": false,
+  "_split": "train"
+}

eval/validation/data-00000-of-00001.arrow

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e48b72d161283ec9d833484a9bebe189169c3220d347be414084d5d4d7e583cc
+size 26542632

eval/validation/dataset_info.json

@@ -0,0 +1,71 @@
+{
+  "builder_name": "erhu_playing_tech",
+  "citation": "",
+  "config_name": "eval",
+  "dataset_name": "erhu_playing_tech",
+  "dataset_size": 760972,
+  "description": "",
+  "download_checksums": {
+    "https://www.modelscope.cn/datasets/ccmusic-database/erhu_playing_tech/resolve/master/data/eval.zip": {
+      "num_bytes": 127625997,
+      "checksum": null
+    }
+  },
+  "download_size": 127625997,
+  "features": {
+    "mel": {
+      "_type": "Image"
+    },
+    "cqt": {
+      "_type": "Image"
+    },
+    "chroma": {
+      "_type": "Image"
+    },
+    "label": {
+      "names": [
+        "vibrato",
+        "trill",
+        "tremolo",
+        "staccato",
+        "ricochet",
+        "pizzicato",
+        "percussive",
+        "legato_slide_glissando",
+        "harmonic",
+        "diangong",
+        "detache"
+      ],
+      "_type": "ClassLabel"
+    }
+  },
+  "homepage": "https://www.modelscope.cn/datasets/ccmusic-database/erhu_playing_tech",
+  "license": "CC-BY-NC-ND",
+  "size_in_bytes": 128386969,
+  "splits": {
+    "train": {
+      "name": "train",
+      "num_bytes": 454379,
+      "num_examples": 748,
+      "dataset_name": "erhu_playing_tech"
+    },
+    "validation": {
+      "name": "validation",
+      "num_bytes": 152431,
+      "num_examples": 251,
+      "dataset_name": "erhu_playing_tech"
+    },
+    "test": {
+      "name": "test",
+      "num_bytes": 154162,
+      "num_examples": 254,
+      "dataset_name": "erhu_playing_tech"
+    }
+  },
+  "version": {
+    "version_str": "0.0.0",
+    "major": 0,
+    "minor": 0,
+    "patch": 0
+  }
+}

eval/validation/state.json

@@ -0,0 +1,13 @@
+{
+  "_data_files": [
+    {
+      "filename": "data-00000-of-00001.arrow"
+    }
+  ],
+  "_fingerprint": "788c0ac9643f652f",
+  "_format_columns": null,
+  "_format_kwargs": {},
+  "_format_type": null,
+  "_output_all_columns": false,
+  "_split": "validation"
+}