diff --git a/.gitattributes b/.gitattributes
new file mode 100644
index 0000000000000000000000000000000000000000..600a4ce1ddf95d22ff0a8e9ec7583e05897b3f35
--- /dev/null
+++ b/.gitattributes
@@ -0,0 +1,5300 @@
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diff --git a/README.md b/README.md
index 89922ba52cd1cc8601b64a9dfd0e8fa974ac2645..931ef75d8441136ec5c1aacd032e06fe39e1d6e1 100644
--- a/README.md
+++ b/README.md
@@ -9,6 +9,13 @@ tags:
 pretty_name: speechocean762
 size_categories:
 - 1K<n<10K
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: "train.jsonl"
+  - split: test
+    path: "test.jsonl"
 ---
 # speechocean762: A non-native English corpus for pronunciation scoring task
 
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diff --git a/speechocean762.py b/speechocean762.py
deleted file mode 100644
index 928ab454065eb4507b381ff42767f71ecf35e882..0000000000000000000000000000000000000000
--- a/speechocean762.py
+++ /dev/null
@@ -1,127 +0,0 @@
-# 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://www.openslr.org/101/"
-
-_VERSION = "1.2.0"
-
-_DL_URL = (
-    f"https://github.com/jimbozhang/speechocean762/archive/refs/tags/v{_VERSION}.tar.gz"
-)
-
-_LICENSE = "Attribution 4.0 International (CC BY 4.0)"
-
-
-class Speechocean762(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"),
-                    "speaker": datasets.Value("string"),
-                    "gender": datasets.Value("string"),
-                    "age": datasets.Value("int16"),
-                    "accuracy": datasets.Value("int16"),
-                    "fluency": datasets.Value("int16"),
-                    "prosodic": datasets.Value("int16"),
-                    "total": datasets.Value("int16"),
-                    "words": datasets.Sequence(
-                        feature={
-                            "text": datasets.Value("string"),
-                            "accuracy": datasets.Value("int16"),
-                            "stress": datasets.Value("int16"),
-                            "total": datasets.Value("int16"),
-                            "phones": datasets.Sequence(datasets.Value("string")),
-                            "phones-accuracy": datasets.Sequence(
-                                datasets.Value("float")
-                            ),
-                            "mispronunciations": datasets.Value("string"),
-                        }
-                    ),
-                }
-            ),
-            homepage=_HOMEPAGE,
-            license=_LICENSE,
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        self.extracted_path = dl_manager.download_and_extract(_DL_URL)
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    "filepath": f"{self.extracted_path}/speechocean762-{_VERSION}/train/all-info.json"
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={
-                    "filepath": f"{self.extracted_path}/speechocean762-{_VERSION}/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"{self.extracted_path}/speechocean762-{_VERSION}/WAVE/SPEAKER{row['speaker']}/{key}.WAV"
-                yield key, {
-                    "file": path,
-                    "audio": path,
-                    "text": row["text"],
-                    "speaker": row["speaker"],
-                    "gender": row["gender"],
-                    "age": row["age"],
-                    "accuracy": row["accuracy"],
-                    "fluency": row["fluency"],
-                    "prosodic": row["prosodic"],
-                    "total": row["total"],
-                    "words": row["words"],
-                }
diff --git a/test.jsonl b/test.jsonl
new file mode 100644
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+++ b/test.jsonl
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+{"accuracy": 9, "completeness": 10, "fluency": 9, "prosodic": 9, "text": "MARK IS GOING TO SEE ELEPHANT", "total": 9, "words": [{"accuracy": 10, "phones": ["M", "AA0", "R", "K"], "phones-accuracy": [2, 2, 1.8, 2], "stress": 10, "text": "MARK", "total": 10, "mispronunciations": []}, {"accuracy": 10, "phones": ["IH0", "Z"], "phones-accuracy": [2, 1.8], "stress": 10, "text": "IS", "total": 10, "mispronunciations": []}, {"accuracy": 10, "phones": ["G", "OW0", "IH0", "NG"], "phones-accuracy": [2, 2, 2, 2], "stress": 10, "text": "GOING", "total": 10, "mispronunciations": []}, {"accuracy": 10, "phones": ["T", "UW0"], "phones-accuracy": [2, 2], "stress": 10, "text": "TO", "total": 10, "mispronunciations": []}, {"accuracy": 10, "phones": ["S", "IY0"], "phones-accuracy": [2, 2], "stress": 10, "text": "SEE", "total": 10, "mispronunciations": []}, {"accuracy": 10, "phones": ["EH1", "L", "IH0", "F", "AH0", "N", "T"], "phones-accuracy": [2, 2, 2, 2, 2, 2, 2], "stress": 10, "text": "ELEPHANT", "total": 10, "mispronunciations": []}], "speaker": "0003", "gender": "m", "age": 6, "file_name": "data/000030012.wav"}
+{"accuracy": 7, "completeness": 10, "fluency": 9, "prosodic": 9, "text": "KATE LOVES CHINA", "total": 7, "words": [{"accuracy": 8, "phones": ["K", "EH0", "T"], "phones-accuracy": [2, 1.4, 1.8], "stress": 10, "text": "KATE", "total": 8, "mispronunciations": []}, {"accuracy": 8, "phones": ["L", "AH0", "V", "Z"], "phones-accuracy": [2, 2, 2, 1.4], "stress": 10, "text": "LOVES", "total": 8, "mispronunciations": []}, {"accuracy": 10, "phones": ["CH", "AY1", "N", "AH0"], "phones-accuracy": [2, 2, 2, 2], "stress": 10, "text": "CHINA", "total": 10, "mispronunciations": []}], "speaker": "0003", "gender": "m", "age": 6, "file_name": "data/000030024.wav"}
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diff --git a/train.jsonl b/train.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..24c4dc6c0a389c150e7916eac7ed81fe16751e8f
--- /dev/null
+++ b/train.jsonl
@@ -0,0 +1,2500 @@
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