Co-Speech Gesture Generation by Xiangyue Zhang
Collection
Official SemTalk, EchoMask, GlobalDiff, and StreamTalk papers, models, and data for co-speech gesture generation. • 12 items • Updated
Datasets:
Languages:
English
Size:
n<1K
ArXiv:
Tags:
motion-generation
co-speech-gesture-generation
streaming-generation
beat2
smpl-x
arxiv:2608.01643
License:
Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
aesk_sha256: string
clip_count: int64
emage_fgd: double
epsilon: double
format: string
frame_count: int64
ids_sha256: string
latent_dimension: int64
latent_row_count: int64
metric_batch_size: int64
official_id_count: int64
scope: string
temporal_multiple: int64
scopes: struct<all: struct<archive: string, archive_sha256: string, archive_size_bytes: int64, cfg_scale: do (... 974 chars omitted)
child 0, all: struct<archive: string, archive_sha256: string, archive_size_bytes: int64, cfg_scale: double, checkp (... 437 chars omitted)
child 0, archive: string
child 1, archive_sha256: string
child 2, archive_size_bytes: int64
child 3, cfg_scale: double
child 4, checkpoint: string
child 5, checkpoint_sha256: string
child 6, clip_batch_size: int64
child 7, clip_count: int64
child 8, format: string
child 9, generation_seconds_by_rank: list<item: double>
child 0, item: double
child 10, generation_note: string
child 11, published_artifact_rescore: struct<aesk_sha256: string, fgd_report: string, fgd_report_sha256: string, emage_fgd: double, select (... 50 chars omitted)
child 0, aesk_sha256: string
child 1, fgd_report: string
child 2, fgd_report_sha256: string
child 3, emage_fgd: double
child 4, selection_time_fgd: double
child 5, absolute_difference: double
child 12, metric_batch_size: int64
child 13, retrieval_query_frames: int64
child 14, scope: string
child 15, seed: int64
child 1, speaker2: struct<archive: string, archive_sha256: string, archive_size_bytes: int64, cfg_scale: double, checkp (... 412 chars omitted)
child 0, archive: string
child 1, archive_sha256: string
child 2, archive_size_bytes: int64
child 3, cfg_scale: double
child 4, checkpoint: string
child 5, checkpoint_sha256: string
child 6, clip_batch_size: int64
child 7, clip_count: int64
child 8, format: string
child 9, generation_seconds_by_rank: list<item: double>
child 0, item: double
child 10, published_artifact_rescore: struct<aesk_sha256: string, fgd_report: string, fgd_report_sha256: string, emage_fgd: double, select (... 50 chars omitted)
child 0, aesk_sha256: string
child 1, fgd_report: string
child 2, fgd_report_sha256: string
child 3, emage_fgd: double
child 4, selection_time_fgd: double
child 5, absolute_difference: double
child 11, metric_batch_size: int64
child 12, retrieval_query_frames: int64
child 13, scope: string
child 14, seed: int64
metric_note: string
seed: int64
repo_head: string
to
{'format': Value('string'), 'metric_note': Value('string'), 'repo_head': Value('string'), 'scopes': {'all': {'archive': Value('string'), 'archive_sha256': Value('string'), 'archive_size_bytes': Value('int64'), 'cfg_scale': Value('float64'), 'checkpoint': Value('string'), 'checkpoint_sha256': Value('string'), 'clip_batch_size': Value('int64'), 'clip_count': Value('int64'), 'format': Value('string'), 'generation_seconds_by_rank': List(Value('float64')), 'generation_note': Value('string'), 'published_artifact_rescore': {'aesk_sha256': Value('string'), 'fgd_report': Value('string'), 'fgd_report_sha256': Value('string'), 'emage_fgd': Value('float64'), 'selection_time_fgd': Value('float64'), 'absolute_difference': Value('float64')}, 'metric_batch_size': Value('int64'), 'retrieval_query_frames': Value('int64'), 'scope': Value('string'), 'seed': Value('int64')}, 'speaker2': {'archive': Value('string'), 'archive_sha256': Value('string'), 'archive_size_bytes': Value('int64'), 'cfg_scale': Value('float64'), 'checkpoint': Value('string'), 'checkpoint_sha256': Value('string'), 'clip_batch_size': Value('int64'), 'clip_count': Value('int64'), 'format': Value('string'), 'generation_seconds_by_rank': List(Value('float64')), 'published_artifact_rescore': {'aesk_sha256': Value('string'), 'fgd_report': Value('string'), 'fgd_report_sha256': Value('string'), 'emage_fgd': Value('float64'), 'selection_time_fgd': Value('float64'), 'absolute_difference': Value('float64')}, 'metric_batch_size': Value('int64'), 'retrieval_query_frames': Value('int64'), 'scope': Value('string'), 'seed': Value('int64')}}, 'seed': Value('int64')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2840, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
aesk_sha256: string
clip_count: int64
emage_fgd: double
epsilon: double
format: string
frame_count: int64
ids_sha256: string
latent_dimension: int64
latent_row_count: int64
metric_batch_size: int64
official_id_count: int64
scope: string
temporal_multiple: int64
scopes: struct<all: struct<archive: string, archive_sha256: string, archive_size_bytes: int64, cfg_scale: do (... 974 chars omitted)
child 0, all: struct<archive: string, archive_sha256: string, archive_size_bytes: int64, cfg_scale: double, checkp (... 437 chars omitted)
child 0, archive: string
child 1, archive_sha256: string
child 2, archive_size_bytes: int64
child 3, cfg_scale: double
child 4, checkpoint: string
child 5, checkpoint_sha256: string
child 6, clip_batch_size: int64
child 7, clip_count: int64
child 8, format: string
child 9, generation_seconds_by_rank: list<item: double>
child 0, item: double
child 10, generation_note: string
child 11, published_artifact_rescore: struct<aesk_sha256: string, fgd_report: string, fgd_report_sha256: string, emage_fgd: double, select (... 50 chars omitted)
child 0, aesk_sha256: string
child 1, fgd_report: string
child 2, fgd_report_sha256: string
child 3, emage_fgd: double
child 4, selection_time_fgd: double
child 5, absolute_difference: double
child 12, metric_batch_size: int64
child 13, retrieval_query_frames: int64
child 14, scope: string
child 15, seed: int64
child 1, speaker2: struct<archive: string, archive_sha256: string, archive_size_bytes: int64, cfg_scale: double, checkp (... 412 chars omitted)
child 0, archive: string
child 1, archive_sha256: string
child 2, archive_size_bytes: int64
child 3, cfg_scale: double
child 4, checkpoint: string
child 5, checkpoint_sha256: string
child 6, clip_batch_size: int64
child 7, clip_count: int64
child 8, format: string
child 9, generation_seconds_by_rank: list<item: double>
child 0, item: double
child 10, published_artifact_rescore: struct<aesk_sha256: string, fgd_report: string, fgd_report_sha256: string, emage_fgd: double, select (... 50 chars omitted)
child 0, aesk_sha256: string
child 1, fgd_report: string
child 2, fgd_report_sha256: string
child 3, emage_fgd: double
child 4, selection_time_fgd: double
child 5, absolute_difference: double
child 11, metric_batch_size: int64
child 12, retrieval_query_frames: int64
child 13, scope: string
child 14, seed: int64
metric_note: string
seed: int64
repo_head: string
to
{'format': Value('string'), 'metric_note': Value('string'), 'repo_head': Value('string'), 'scopes': {'all': {'archive': Value('string'), 'archive_sha256': Value('string'), 'archive_size_bytes': Value('int64'), 'cfg_scale': Value('float64'), 'checkpoint': Value('string'), 'checkpoint_sha256': Value('string'), 'clip_batch_size': Value('int64'), 'clip_count': Value('int64'), 'format': Value('string'), 'generation_seconds_by_rank': List(Value('float64')), 'generation_note': Value('string'), 'published_artifact_rescore': {'aesk_sha256': Value('string'), 'fgd_report': Value('string'), 'fgd_report_sha256': Value('string'), 'emage_fgd': Value('float64'), 'selection_time_fgd': Value('float64'), 'absolute_difference': Value('float64')}, 'metric_batch_size': Value('int64'), 'retrieval_query_frames': Value('int64'), 'scope': Value('string'), 'seed': Value('int64')}, 'speaker2': {'archive': Value('string'), 'archive_sha256': Value('string'), 'archive_size_bytes': Value('int64'), 'cfg_scale': Value('float64'), 'checkpoint': Value('string'), 'checkpoint_sha256': Value('string'), 'clip_batch_size': Value('int64'), 'clip_count': Value('int64'), 'format': Value('string'), 'generation_seconds_by_rank': List(Value('float64')), 'published_artifact_rescore': {'aesk_sha256': Value('string'), 'fgd_report': Value('string'), 'fgd_report_sha256': Value('string'), 'emage_fgd': Value('float64'), 'selection_time_fgd': Value('float64'), 'absolute_difference': Value('float64')}, 'metric_batch_size': Value('int64'), 'retrieval_query_frames': Value('int64'), 'scope': Value('string'), 'seed': Value('int64')}}, 'seed': Value('int64')}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
StreamTalk Inference Data
Ready-to-compare SMPL-X predictions from the official retrained StreamTalk CFG checkpoints. This release follows the convenient inference-data style of SemTalk: users can download generated test outputs and evaluate or visualize them without rerunning WavLM, retrieval, diffusion sampling, and SMPL-X conversion.
No BEAT2 ground-truth motion, audio, training cache, or model checkpoint is included in these archives.
Downloads
| Scope | Clips | Checkpoint | CFG | Archive | SHA-256 |
|---|---|---|---|---|---|
| Speaker 2 (Scott) | 15 | epoch 946 | 3 | download | 859cb968c04804a797e3f8eb17aeba1f91bda29305f970564c9be481e41fa452 |
| All speakers | 265 | epoch 940 | 3 | download | 295d933883dc40acb9df5f2d2ba02767ec62c9d83f423a78900932499fc8edb4 |
wget https://huggingface.co/datasets/X-Zhang/StreamTalk-Inference-Data/resolve/main/streamtalk_speaker2_e0946_cfg3_npz.tar.gz
wget https://huggingface.co/datasets/X-Zhang/StreamTalk-Inference-Data/resolve/main/streamtalk_all_e0940_cfg3_npz.tar.gz
sha256sum -c SHA256SUMS
tar -xzf streamtalk_speaker2_e0946_cfg3_npz.tar.gz
tar -xzf streamtalk_all_e0940_cfg3_npz.tar.gz
Released FGD re-score
The downloadable NPZ bytes were independently re-scored with the StreamTalk release scorer and the pinned EMAGE/PantoMatrix AESK encoder (SHA-256 5cd9566b...c40f55). Equal-length metric batching uses batch size 16.
| Scope | Archive re-score FGD ↓ | Selection-time FGD ↓ | Absolute difference |
|---|---|---|---|
| Speaker 2 (Scott) | 0.3788789702354345 | 0.3788789702354416 | 7.1e-15 |
| All speakers | 0.21764184426140076 | 0.21767150775461275 | 2.97e-5 |
Both differences are below the selected engineering reporting tolerance of 1e-3. These are accelerated EMAGE/AESK measurements, not a claim of paper-exact B=1/M=1/full-window bitwise equivalence. See speaker2_fgd.json and all_fgd.json for the complete metric contract.
NPZ schema
Every archive contains one res_<BEAT2-test-id>.npz per official test ID plus a scope manifest. Load files with allow_pickle=False.
| Key | Shape/type | Meaning |
|---|---|---|
poses |
[T, 165], float32 |
local SMPL-X axis-angle rotations |
trans |
[T, 3], float32 |
root translation |
expressions |
[T, 100], float32 |
facial expression coefficients |
betas |
[300], float32 |
body-shape coefficients |
gender |
string | body-model metadata |
mocap_frame_rate |
scalar | 30 FPS |
model |
string | smplx2020 |
import numpy as np
with np.load("res_2_scott_0_1_1.npz", allow_pickle=False) as motion:
poses = motion["poses"]
expressions = motion["expressions"]
trans = motion["trans"]
Re-score with StreamTalk
The generated files do not include BEAT2 ground truth. After obtaining BEAT2 under its own terms, use the scorer in the StreamTalk repository:
python tools/evaluate_generated_fgd.py \
--predictions streamtalk_speaker2_e0946_cfg3_npz \
--ground_truth /path/to/beat_english_v2.0.0/smplxflame_30 \
--scope speaker2 --device cuda:0 --metric_batch_size 16
python tools/evaluate_generated_fgd.py \
--predictions streamtalk_all_e0940_cfg3_npz \
--ground_truth /path/to/beat_english_v2.0.0/smplxflame_30 \
--scope all --device cuda:0 --metric_batch_size 16
Provenance and terms
- Generator code: StreamTalk training/evaluation commit
b6cac99d5bae5164a21f5db25afef72c3c30556a. - Speaker 2 checkpoint SHA-256:
07065d52e333cc48960e4e8fad5c0331f6b9e482f14aa1b78cb721904da5b075. - All-speaker checkpoint SHA-256:
3a0e3558d788fd3f11a5a87a8198b42725104b5b9b24f95a4e7c84c14395c9a5. - Seed: 0. Speaker 2 generation uses clip batch 1; all-speaker generation uses clip batch 16; both use CFG 3 and an 8-frame retrieval query.
The predictions are derived from experiments on BEAT2 and use the SMPL-X body model. Users remain responsible for complying with the licenses and terms of the BEAT2 dataset and SMPL-X. This dataset card does not redistribute BEAT2 ground truth, audio, or SMPL-X model files.
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