Add the loading script

.gitignore

@@ -0,0 +1,157 @@
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/#use-with-ide
+.pdm.toml
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# IDEs
+.vscode/
+.idea/

README.md

@@ -9,13 +9,6 @@ tags:
 pretty_name: speechocean762
 size_categories:
 - 1K<n<10K
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: "train/dataviewer.tsv"
-  - split: test
-    path: "test/dataviewer.tsv"
 ---
 # speechocean762: A non-native English corpus for pronunciation scoring task
 

about.html

@@ -1,9 +0,0 @@
-This corpus aims to provide a free public dataset for the pronunciation scoring task.
-<p>
-This corpus consists of 5000 English sentences.
-All the speakers are non-native, and their mother tongue is Mandarin.
-Half of the speakers are Children, and the others are adults.
-The information of age and gender are provided. Five experts made the scores.
-To avoid subjective bias, each expert scores independently under the same metric.
-<p>
-For more details, please read the `README.md` in the corpus.

info.txt

@@ -1,8 +0,0 @@
-name: speechocean762
-summary: Pronunciation scoring dataset, labeled independently by five human experts
-category: speech
-license: Apache License v.2.0
-file: WAVE.tgz  The audio files of both the train-set and test-set
-file: train.tgz  Information for the train-set
-file: test.tgz  Information for the test-set
-file: resource.tgz  Transcripts and some miscellaneous files

speechocean762.py

@@ -0,0 +1,96 @@
+# Copyright 2023  Xiaomi Corporation (Author: Junbo Zhang) and the HuggingFace Datasets Authors.
+#
+# 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.
+
+
+import json
+
+import datasets
+
+_CITATION = """\
+@inproceedings{speechocean762,
+  title={speechocean762: An Open-Source Non-native English Speech Corpus For Pronunciation Assessment},
+  booktitle={Proc. Interspeech 2021},
+  year=2021,
+  author={Junbo Zhang, Zhiwen Zhang, Yongqing Wang, Zhiyong Yan, Qiong Song, Yukai Huang, Ke Li, Daniel Povey, Yujun Wang}
+}
+"""
+
+_DESCRIPTION = """\
+A free public dataset for the pronunciation scoring task.
+This corpus consists of 5000 English sentences.
+All the speakers are non-native, and their mother tongue is Mandarin.
+Half of the speakers are Children, and the others are adults.
+The information of age and gender are provided. Five experts made the scores.
+To avoid subjective bias, each expert scores independently under the same metric.
+"""
+
+_HOMEPAGE = "https://github.com/jimbozhang/speechocean762"
+
+_LICENSE = "Attribution 4.0 International (CC BY 4.0)"
+
+
+class Speechocean762Dataset(datasets.GeneratorBasedBuilder):
+    VERSION = datasets.Version("1.3.0")
+
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(name="train", version=VERSION),
+        datasets.BuilderConfig(name="test", version=VERSION),
+    ]
+
+    DEFAULT_CONFIG_NAME = "test"
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "file": datasets.Value("string"),
+                    "audio": datasets.Audio(sampling_rate=16_000),
+                    "text": datasets.Value("string"),
+                    "accuracy": datasets.Value("int16"),
+                    "fluency": datasets.Value("int16"),
+                    "prosodic": datasets.Value("int16"),
+                    "total": datasets.Value("int16"),
+                }
+            ),
+            homepage=_HOMEPAGE,
+            license=_LICENSE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self):
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={"filepath": "train/all-info.json"},
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={"filepath": "test/all-info.json"},
+            ),
+        ]
+
+    def _generate_examples(self, filepath):
+        with open(filepath, encoding="utf-8") as f:
+            for key, row in json.load(f).items():
+                path = f"WAVE/SPEAKER{row['speaker']}/{key}.WAV"
+                yield key, {
+                    "file": path,
+                    "audio": path,
+                    "text": row["text"],
+                    "accuracy": row["accuracy"],
+                    "fluency": row["fluency"],
+                    "prosodic": row["prosodic"],
+                    "total": row["total"],
+                }