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.gitignore

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+*.wav

README.md

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+
+# SeedTTS Evaluation Dataset
+
+This dataset contains evaluation data for SeedTTS text-to-speech model testing in multiple languages.
+
+Original repo from: [https://github.com/BytedanceSpeech/seed-tts-eval](https://github.com/BytedanceSpeech/seed-tts-eval)
+
+---
+
+## Languages
+
+* **English (en)**: Contains `test_wer` and `test_sim` splits
+* **Chinese (zh)**: Contains `test_wer`, `test_sim`, and `test_wer_hardcase` splits
+
+---
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+# Load English dataset
+ds_en = load_dataset("path/to/seedtts-dataset-repo", "en")
+
+# Load Chinese dataset
+ds_zh = load_dataset("path/to/seedtts-dataset-repo", "zh")
+
+# Access specific splits
+en_wer = ds_en['test_wer']
+en_sim = ds_en['test_sim']
+
+zh_wer = ds_zh['test_wer']
+zh_sim = ds_zh['test_sim']
+zh_hardcase = ds_zh['test_wer_hardcase']
+```
+
+---
+
+## Data Structure
+
+### Dataset Info (example)
+
+```yaml
+dataset_info:
+  - config_name: en
+    features:
+      - audio_output_path: string
+      - prompt_text: string
+      - prompt_audio: string
+      - text_input: string
+      - audio_ground_truth: string
+    splits:
+      - name: test_wer
+        num_examples: 1088  # Update with actual numbers
+      - name: test_sim
+        num_examples: 1086  # Update with actual numbers
+
+  - config_name: zh
+    features:
+      - audio_output_path: string
+      - prompt_text: string
+      - prompt_audio: string
+      - text_input: string
+      - audio_ground_truth: string
+    splits:
+      - name: test_wer
+        num_examples: 2020  # Update with actual numbers
+      - name: test_sim
+        num_examples: 2018  # Update with actual numbers
+      - name: test_wer_hardcase
+        num_examples: 400   # Update with actual numbers
+```
+
+---
+
+## Configs & Data Files Mapping
+
+```yaml
+configs:
+  - config_name: en
+    data_files:
+      - split: test_wer
+        path: data/en_meta.jsonl
+      - split: test_sim
+        path: data/en_non_para_reconstruct_meta.jsonl
+
+  - config_name: zh
+    data_files:
+      - split: test_wer
+        path: data/zh_meta.jsonl
+      - split: test_sim
+        path: data/zh_non_para_reconstruct_meta.jsonl
+      - split: test_wer_hardcase
+        path: data/zh_hardcase.jsonl
+```
+
+---
+
+## File Structure
+
+```
+.
+├── seedtts_dataset.py           # Your dataset loading script
+├── README.md                   # This file
+├── data/
+│   ├── en_meta.jsonl
+│   ├── en_non_para_reconstruct_meta.jsonl
+│   ├── en.tgz                  # Compressed wav/audio files for English
+│   ├── zh_meta.jsonl
+│   ├── zh_non_para_reconstruct_meta.jsonl
+│   ├── zh_hardcase.jsonl
+│   └── zh.tgz                  # Compressed wav/audio files for Chinese
+├── convert_seedtts_to_dataset.py
+├── test_demo.py
+```
+
+---
+
+## Notes
+
+* The `.tgz` files contain the audio `.wav` files and will be automatically extracted to the local Hugging Face cache directory during dataset loading.
+* To control where the data archive is extracted and cached, use the `cache_dir` argument in `load_dataset`, e.g.:
+
+```python
+ds = load_dataset("path/to/seedtts-dataset-repo", "en", cache_dir="/your/fast/storage/path")
+```

convert_seedtts_to_dataset.py

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+import os
+import json
+import datasets
+
+_FEATURES = datasets.Features({
+    "audio_output_path": datasets.Value("string"),
+    "prompt_text": datasets.Value("string"),
+    "prompt_audio": datasets.Value("string"),
+    "text_input": datasets.Value("string"),
+    "audio_ground_truth": datasets.Value("string"),
+})
+
+_DATASET_CONFIGS = {
+    "en": {
+        "splits": {
+            "test_wer": "data/en_meta.jsonl",
+            "test_sim": "data/en_non_para_reconstruct_meta.jsonl",
+        }
+    },
+    "zh": {
+        "splits": {
+            "test_wer": "data/zh_meta.jsonl",
+            "test_sim": "data/zh_non_para_reconstruct_meta.jsonl",
+            "test_wer_hardcase": "data/zh_hardcase.jsonl",
+        }
+    },
+}
+
+
+class SeedTTSDataset(datasets.GeneratorBasedBuilder):
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(name=config, version=datasets.Version("1.0.0"))
+        for config in _DATASET_CONFIGS.keys()
+    ]
+    DEFAULT_CONFIG_NAME = "en"
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description="Seed-TTS Dataset",
+            features=_FEATURES,
+            supervised_keys=None,
+        )
+
+    def _split_generators(self, dl_manager):
+        config_name = self.config.name
+
+        # 自动处理压缩包：下载 & 解压到缓存
+        archive_path = dl_manager.download_and_extract("seedtts_data.tgz")
+
+        # 提示解压路径
+        if dl_manager.manual_dir is not None:
+            print(f"[INFO] Using manual_dir: {dl_manager.manual_dir}")
+        else:
+            print(f"[INFO] Extracted archive to: {archive_path}")
+            print("[TIP] To control this path, use `load_dataset(..., cache_dir=...)`")
+
+        extracted_base = os.path.join(archive_path, "extracted")
+        splits = []
+
+        for split_name, meta_path in _DATASET_CONFIGS[config_name]["splits"].items():
+            abs_meta_path = os.path.join(dl_manager._base_path, meta_path)
+            if not os.path.isfile(abs_meta_path):
+                raise FileNotFoundError(f"Missing metadata file: {abs_meta_path}")
+
+            splits.append(datasets.SplitGenerator(
+                name=split_name,
+                gen_kwargs={
+                    "filepath": abs_meta_path,
+                    "audio_base": os.path.join(extracted_base, config_name)
+                }
+            ))
+
+        return splits
+
+    def _generate_examples(self, filepath, audio_base):
+        with open(filepath, encoding="utf-8") as f:
+            for idx, line in enumerate(f):
+                item = json.loads(line.strip())
+                for key in ["prompt_audio", "audio_ground_truth"]:
+                    if key in item and item[key] and not os.path.isabs(item[key]):
+                        item[key] = os.path.abspath(os.path.join(audio_base, item[key]))
+                yield idx, item

data/en.tgz

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+oid sha256:a47c030bb4882adaa03580dd20a449f789dc4c9eef9d5c2ba8fb1cfebf96aaf2
+size 376940860

data/zh.tgz

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+oid sha256:8b26c241e007711fed3c78c7de41c0f038172e875a70afbd203d3d687bf2d48b
+size 649968708

seedtts_testset.py

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+import os
+import json
+import datasets
+
+_DEFAULT_DATA_DIR = os.path.dirname(__file__)
+
+# 配置YAML里features对应的datasets Features格式
+FEATURES = datasets.Features({
+    "audio_output_path": datasets.Value("string"),
+    "prompt_text": datasets.Value("string"),
+    "prompt_audio": datasets.Value("string"),  # 这里用string，后续可cast成 Audio()
+    "text_input": datasets.Value("string"),
+    "audio_ground_truth": datasets.Value("string"),
+})
+
+# YAML里的configs和splits映射成字典
+DATASET_CONFIGS = {
+    "en": {
+        "splits": {
+            "test_wer": "data/en_meta.jsonl",
+            "test_sim": "data/en_non_para_reconstruct_meta.jsonl",
+        }
+    },
+    "zh": {
+        "splits": {
+            "test_wer": "data/zh_meta.jsonl",
+            "test_sim": "data/zh_non_para_reconstruct_meta.jsonl",
+            "test_wer_hardcase": "data/zh_hardcase.jsonl",
+        }
+    },
+}
+
+
+class SeedTTSDataset(datasets.GeneratorBasedBuilder):
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(name=config_name, version=datasets.Version("1.0.0"))
+        for config_name in DATASET_CONFIGS.keys()
+    ]
+
+    DEFAULT_CONFIG_NAME = "en"
+    
+    def _info(self):
+        return datasets.DatasetInfo(
+            description="Seed-TTS dataset",
+            features=FEATURES,
+            supervised_keys=None,
+        )
+
+    def _split_generators(self, dl_manager):
+        config_name = self.config.name
+
+        # 下载并自动解压 repo 中的 data.tgz
+        print('Extracting wav files ...')
+        archive_path = dl_manager.download_and_extract(f"data/{config_name}.tgz")
+        
+        # 设置默认 repo的索引 base 路径
+        expected_repo_dir = dl_manager._base_path
+        index_data_dir = getattr(self.config, "data_dir", None) or expected_repo_dir
+        
+        # print('archive_path', archive_path)
+        wav_data_dir = archive_path
+        # import ipdb; ipdb.set_trace()
+
+        # 自动处理压缩包：下载 & 解压到缓存
+        wav_data_dir = os.path.join(archive_path, config_name)
+        
+        # 提示解压路径
+        if dl_manager.manual_dir is not None:
+            print(f"[INFO] Using manual_dir: {dl_manager.manual_dir}")
+        else:
+            print(f"[INFO] Extracted split {config_name} archive to: {archive_path}")
+            print("[TIP] To control this cache path, use `load_dataset(..., cache_dir=...)`")
+
+        if config_name not in DATASET_CONFIGS:
+            raise ValueError(f"Unknown config name: {config_name}")
+
+        splits = []
+        for split_name, relative_path in DATASET_CONFIGS[config_name]["splits"].items():
+            file_path = os.path.join(index_data_dir, relative_path)
+            if not os.path.isfile(file_path):
+                raise FileNotFoundError(
+                    f"[ERROR] Missing split file for '{split_name}': expected at '{file_path}'.\n"
+                    f"Please make sure all required files exist in the archive."
+                )
+
+            splits.append(
+                datasets.SplitGenerator(
+                    name=split_name,
+                    gen_kwargs={"filepath": file_path, "wav_data_dir": wav_data_dir}
+                )
+            )
+
+        return splits
+
+
+    def _generate_examples(self, filepath, wav_data_dir):
+        with open(filepath, encoding="utf-8") as f:
+            for idx, line in enumerate(f):
+                item = json.loads(line.strip())
+
+                # 转换相对路径为绝对路径，方便后续cast为Audio
+                for key in ["prompt_audio", "audio_ground_truth"]:
+                    if not item[key]:
+                        continue
+                    if key in item and item[key] and not os.path.isabs(item[key]):
+                        item[key] = os.path.abspath(os.path.join(wav_data_dir, item[key]))
+
+                yield idx, item

test_demo.py

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+from datasets import load_dataset
+
+ds_en = load_dataset("/hy-tmp/datasets/eval/seed-tts-eval/datasets/seedtts_testset", 'en', trust_remote_code=True)
+print(ds_en['test_wer'][0])
+
+ds_zh = load_dataset("/hy-tmp/datasets/eval/seed-tts-eval/datasets/seedtts_testset/", 'zh', trust_remote_code=True)
+print(ds_zh['test_sim'][0])
+
+
+# Access specific splits
+en_wer = ds_en['test_wer']
+en_sim = ds_en['test_sim']
+
+zh_wer = ds_zh['test_wer']
+zh_sim = ds_zh['test_sim']
+zh_hardcase = ds_zh['test_wer_hardcase']
+