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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    TypeError
Message:      int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1531, in _prepare_split_single
                  for key, record in generator:
                                     ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
                  for item in generator(*args, **kwargs):
                              ~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 127, in _generate_examples
                  for example_idx, example in enumerate(self._get_pipeline_from_tar(tar_path, tar_iterator)):
                                              ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 32, in _get_pipeline_from_tar
                  for filename, f in tar_iterator:
                                     ^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/utils/track.py", line 49, in __iter__
                  for x in self.generator(*self.args):
                           ~~~~~~~~~~~~~~^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 1405, in _iter_from_urlpath
                  with xopen(urlpath, "rb", download_config=download_config, block_size=0) as f:
                       ~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 982, in xopen
                  file_obj = fs.open(paths[0], mode)
                File "<string>", line 3, in open
                File "/usr/local/lib/python3.14/unittest/mock.py", line 1176, in __call__
                  return self._mock_call(*args, **kwargs)
                         ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/unittest/mock.py", line 1180, in _mock_call
                  return self._execute_mock_call(*args, **kwargs)
                         ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/unittest/mock.py", line 1247, in _execute_mock_call
                  result = effect(*args, **kwargs)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 786, in wrapped
                  tracker.files[urlpath] = {"read": 0, "size": int(f.size)}
                                                               ~~~^^^^^^^^
              TypeError: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1393, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1571, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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string
__key__
string
__url__
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annotations/words/chinese_12_zhao_2_100_100_utt_0000
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null
annotations/words/chinese_12_zhao_2_100_100_utt_0001
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null
annotations/words/chinese_12_zhao_2_100_100_utt_0002
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null
annotations/words/chinese_12_zhao_2_101_101_utt_0000
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null
annotations/words/chinese_12_zhao_2_101_101_utt_0001
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null
annotations/words/chinese_12_zhao_2_101_101_utt_0002
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annotations/words/chinese_12_zhao_2_102_102_utt_0000
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annotations/words/chinese_12_zhao_2_102_102_utt_0002
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annotations/words/chinese_12_zhao_2_102_102_utt_0003
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annotations/words/chinese_12_zhao_2_103_103_utt_0000
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annotations/words/chinese_12_zhao_2_104_104_utt_0001
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annotations/words/chinese_12_zhao_2_104_104_utt_0002
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annotations/words/chinese_12_zhao_2_104_104_utt_0003
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annotations/words/chinese_12_zhao_2_104_104_utt_0004
hf://datasets/gaopusen/ECHO-G@d357815a7054994aa83a753e7a08cb232f6b29b2/data/annotations-00000-of-00001.tar
null
annotations/words/chinese_12_zhao_2_105_105_utt_0000
hf://datasets/gaopusen/ECHO-G@d357815a7054994aa83a753e7a08cb232f6b29b2/data/annotations-00000-of-00001.tar
null
annotations/words/chinese_12_zhao_2_105_105_utt_0001
hf://datasets/gaopusen/ECHO-G@d357815a7054994aa83a753e7a08cb232f6b29b2/data/annotations-00000-of-00001.tar
null
annotations/words/chinese_12_zhao_2_105_105_utt_0002
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null
annotations/words/chinese_12_zhao_2_106_106_utt_0000
hf://datasets/gaopusen/ECHO-G@d357815a7054994aa83a753e7a08cb232f6b29b2/data/annotations-00000-of-00001.tar
null
annotations/words/chinese_12_zhao_2_106_106_utt_0002
hf://datasets/gaopusen/ECHO-G@d357815a7054994aa83a753e7a08cb232f6b29b2/data/annotations-00000-of-00001.tar
null
annotations/words/chinese_12_zhao_2_107_107_utt_0000
hf://datasets/gaopusen/ECHO-G@d357815a7054994aa83a753e7a08cb232f6b29b2/data/annotations-00000-of-00001.tar
null
annotations/words/chinese_12_zhao_2_107_107_utt_0001
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annotations/words/chinese_12_zhao_2_108_108_utt_0000
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annotations/words/chinese_12_zhao_2_108_108_utt_0002
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annotations/words/chinese_12_zhao_2_109_109_utt_0000
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annotations/words/chinese_12_zhao_2_109_109_utt_0001
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annotations/words/chinese_12_zhao_2_109_109_utt_0002
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annotations/words/chinese_12_zhao_2_110_110_utt_0003
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annotations/words/chinese_12_zhao_2_111_111_utt_0000
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annotations/words/chinese_12_zhao_2_111_111_utt_0001
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annotations/words/chinese_12_zhao_2_111_111_utt_0002
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annotations/words/chinese_12_zhao_2_111_111_utt_0003
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annotations/words/chinese_12_zhao_2_111_111_utt_0004
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annotations/words/chinese_12_zhao_2_112_112_utt_0000
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annotations/words/chinese_12_zhao_2_112_112_utt_0001
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null
annotations/words/chinese_12_zhao_2_112_112_utt_0002
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annotations/words/chinese_12_zhao_2_112_112_utt_0003
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annotations/words/chinese_12_zhao_2_113_113_utt_0000
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annotations/words/chinese_12_zhao_2_113_113_utt_0001
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annotations/words/chinese_12_zhao_2_113_113_utt_0002
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annotations/words/chinese_12_zhao_2_114_114_utt_0000
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annotations/words/chinese_12_zhao_2_115_115_utt_0000
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annotations/words/chinese_12_zhao_2_115_115_utt_0002
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annotations/words/chinese_12_zhao_2_116_116_utt_0002
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annotations/words/chinese_12_zhao_2_116_116_utt_0003
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annotations/words/chinese_12_zhao_2_117_117_utt_0000
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annotations/words/chinese_12_zhao_2_117_117_utt_0001
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annotations/words/chinese_12_zhao_2_117_117_utt_0002
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annotations/words/chinese_12_zhao_2_117_117_utt_0003
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annotations/words/chinese_12_zhao_2_117_117_utt_0004
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annotations/words/chinese_12_zhao_2_118_118_utt_0000
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null
annotations/words/chinese_12_zhao_2_118_118_utt_0001
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null
annotations/words/chinese_12_zhao_2_118_118_utt_0002
hf://datasets/gaopusen/ECHO-G@d357815a7054994aa83a753e7a08cb232f6b29b2/data/annotations-00000-of-00001.tar
null
annotations/words/chinese_12_zhao_2_118_118_utt_0003
hf://datasets/gaopusen/ECHO-G@d357815a7054994aa83a753e7a08cb232f6b29b2/data/annotations-00000-of-00001.tar
null
annotations/words/chinese_12_zhao_2_118_118_utt_0004
hf://datasets/gaopusen/ECHO-G@d357815a7054994aa83a753e7a08cb232f6b29b2/data/annotations-00000-of-00001.tar
null
annotations/words/chinese_12_zhao_2_118_118_utt_0005
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null
annotations/words/chinese_12_zhao_2_17_17_utt_0000
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null
annotations/words/chinese_12_zhao_2_17_17_utt_0001
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null
annotations/words/chinese_12_zhao_2_17_17_utt_0003
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null
annotations/words/chinese_12_zhao_2_18_18_utt_0000
hf://datasets/gaopusen/ECHO-G@d357815a7054994aa83a753e7a08cb232f6b29b2/data/annotations-00000-of-00001.tar
null
annotations/words/chinese_12_zhao_2_18_18_utt_0001
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annotations/words/chinese_12_zhao_2_18_18_utt_0002
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annotations/words/chinese_12_zhao_2_19_19_utt_0003
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annotations/words/chinese_12_zhao_2_1_1_utt_0000
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null
annotations/words/chinese_12_zhao_2_1_1_utt_0001
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annotations/words/chinese_12_zhao_2_1_1_utt_0002
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annotations/words/chinese_12_zhao_2_1_1_utt_0003
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annotations/words/chinese_12_zhao_2_20_20_utt_0000
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annotations/words/chinese_12_zhao_2_20_20_utt_0001
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annotations/words/chinese_12_zhao_2_20_20_utt_0002
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annotations/words/chinese_12_zhao_2_20_20_utt_0003
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annotations/words/chinese_12_zhao_2_21_21_utt_0001
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annotations/words/chinese_12_zhao_2_21_21_utt_0002
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annotations/words/chinese_12_zhao_2_21_21_utt_0004
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null
annotations/words/chinese_12_zhao_2_22_22_utt_0001
hf://datasets/gaopusen/ECHO-G@d357815a7054994aa83a753e7a08cb232f6b29b2/data/annotations-00000-of-00001.tar
null
annotations/words/chinese_12_zhao_2_22_22_utt_0002
hf://datasets/gaopusen/ECHO-G@d357815a7054994aa83a753e7a08cb232f6b29b2/data/annotations-00000-of-00001.tar
null
annotations/words/chinese_12_zhao_2_22_22_utt_0003
hf://datasets/gaopusen/ECHO-G@d357815a7054994aa83a753e7a08cb232f6b29b2/data/annotations-00000-of-00001.tar
null
annotations/words/chinese_12_zhao_2_23_23_utt_0000
hf://datasets/gaopusen/ECHO-G@d357815a7054994aa83a753e7a08cb232f6b29b2/data/annotations-00000-of-00001.tar
null
annotations/words/chinese_12_zhao_2_23_23_utt_0002
hf://datasets/gaopusen/ECHO-G@d357815a7054994aa83a753e7a08cb232f6b29b2/data/annotations-00000-of-00001.tar
null
annotations/words/chinese_12_zhao_2_24_24_utt_0000
hf://datasets/gaopusen/ECHO-G@d357815a7054994aa83a753e7a08cb232f6b29b2/data/annotations-00000-of-00001.tar
null
annotations/words/chinese_12_zhao_2_24_24_utt_0002
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null
annotations/words/chinese_12_zhao_2_2_2_utt_0000
hf://datasets/gaopusen/ECHO-G@d357815a7054994aa83a753e7a08cb232f6b29b2/data/annotations-00000-of-00001.tar
null
annotations/words/chinese_12_zhao_2_2_2_utt_0002
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null
annotations/words/chinese_12_zhao_2_2_2_utt_0003
hf://datasets/gaopusen/ECHO-G@d357815a7054994aa83a753e7a08cb232f6b29b2/data/annotations-00000-of-00001.tar
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annotations/words/chinese_12_zhao_2_33_33_utt_0000
hf://datasets/gaopusen/ECHO-G@d357815a7054994aa83a753e7a08cb232f6b29b2/data/annotations-00000-of-00001.tar
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annotations/words/chinese_12_zhao_2_33_33_utt_0001
hf://datasets/gaopusen/ECHO-G@d357815a7054994aa83a753e7a08cb232f6b29b2/data/annotations-00000-of-00001.tar
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annotations/words/chinese_12_zhao_2_33_33_utt_0002
hf://datasets/gaopusen/ECHO-G@d357815a7054994aa83a753e7a08cb232f6b29b2/data/annotations-00000-of-00001.tar
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annotations/words/chinese_12_zhao_2_33_33_utt_0003
hf://datasets/gaopusen/ECHO-G@d357815a7054994aa83a753e7a08cb232f6b29b2/data/annotations-00000-of-00001.tar
null
annotations/words/chinese_12_zhao_2_33_33_utt_0004
hf://datasets/gaopusen/ECHO-G@d357815a7054994aa83a753e7a08cb232f6b29b2/data/annotations-00000-of-00001.tar
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annotations/words/chinese_12_zhao_2_33_33_utt_0005
hf://datasets/gaopusen/ECHO-G@d357815a7054994aa83a753e7a08cb232f6b29b2/data/annotations-00000-of-00001.tar
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annotations/words/chinese_12_zhao_2_33_33_utt_0006
hf://datasets/gaopusen/ECHO-G@d357815a7054994aa83a753e7a08cb232f6b29b2/data/annotations-00000-of-00001.tar
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annotations/words/chinese_12_zhao_2_34_34_utt_0000
hf://datasets/gaopusen/ECHO-G@d357815a7054994aa83a753e7a08cb232f6b29b2/data/annotations-00000-of-00001.tar
null
annotations/words/chinese_12_zhao_2_34_34_utt_0001
hf://datasets/gaopusen/ECHO-G@d357815a7054994aa83a753e7a08cb232f6b29b2/data/annotations-00000-of-00001.tar
null
annotations/words/chinese_12_zhao_2_34_34_utt_0003
hf://datasets/gaopusen/ECHO-G@d357815a7054994aa83a753e7a08cb232f6b29b2/data/annotations-00000-of-00001.tar
null
annotations/words/chinese_12_zhao_2_34_34_utt_0004
hf://datasets/gaopusen/ECHO-G@d357815a7054994aa83a753e7a08cb232f6b29b2/data/annotations-00000-of-00001.tar
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annotations/words/chinese_12_zhao_2_35_35_utt_0000
hf://datasets/gaopusen/ECHO-G@d357815a7054994aa83a753e7a08cb232f6b29b2/data/annotations-00000-of-00001.tar
End of preview.

ECHO-G Speech and Robot Motion

BEAT2 speech and transcripts paired with Unitree G1 robot motion, ready-to-use frozen audio/text features, and word/token timestamps.

Code v0.2.0 · Model weights · Data format

Property Value
Clips 18,229: 14,987 training + 3,242 validation
Languages English and Chinese
Audio Approximately 41 hours; mono, 16 kHz
Motion 39 physical G1 channels at 30 FPS
Frozen features Audio: 1,024 dimensions; text: 2,560 dimensions per token
Model input limit 600 frames / 20 seconds; 256 text tokens
Download size Approximately 18.63 GB

Download

python -m pip install huggingface_hub
hf download gaopusen/ECHO-G --repo-type dataset --revision v0.2.0 \
  --local-dir data/echo-g
for archive in data/echo-g/data/*.tar data/echo-g/robot_assets/*.tar; do
  tar -xf "$archive" -C data/echo-g
done

Pass data/echo-g as --data-root to ECHO-G training, inference or evaluation. Extract every archive into this same directory; each clip remains a complete file.

Contents

Path after extraction Contents
motion_39d_30fps/ Robot motion tensors [T, 39] in physical units
condition_30fps/ Frozen audio/text features and token times
audio/, transcripts/ Clip-aligned WAV audio and plain-text transcripts
annotations/words/ Word times and token-to-word mappings
splits/, stats/ Fixed splits and training-only normalization statistics
assets/unitree_g1/ MuJoCo XML, meshes and their license
eval_assets/ BA normalization for evaluation
audit/condition/, manifests/ Paired lengths, feature identities and clip index

Keep the supplied metadata with the data. Frozen features can be used directly without downloading the upstream audio/text encoders. Tokens may be subwords, spaces or punctuation; timestamps are relative to each clip's audio start.

See DATA_FORMAT.md for loading examples, tensor fields and timing conventions. ARCHIVE_SHA256SUMS checks the archives; checksums/SHA256SUMS checks the extracted files.

License and attribution

Project-owned contributions: CC BY-NC 4.0. BEAT2 source materials retain their upstream Apache-2.0 terms; G1 rendering assets retain BSD-3-Clause. See third-party notices and citations and processing changes.

Copyright (c) 2026 SOAR-LAB, School of Intelligence Science and Technology, Nanjing University. Developed by Dr. Hao Xu's team with sponsorship from Mondo Robotics (妙动科技). Licensing contacts: Dr. Hao Xu and Dr. Shuo Yang. Please cite BEAT, EMAGE and ECHO-G.

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Models trained or fine-tuned on gaopusen/ECHO-G