Dataset Preview
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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    UnicodeDecodeError
Message:      'utf-8' codec can't decode byte 0xad in position 0: invalid start byte
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1816, in _prepare_split_single
                  for key, table 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/csv/csv.py", line 196, in _generate_tables
                  csv_file_reader = pd.read_csv(file, iterator=True, dtype=dtype, **self.config.pd_read_csv_kwargs)
                File "/usr/local/lib/python3.14/site-packages/datasets/streaming.py", line 73, in wrapper
                  return function(*args, download_config=download_config, **kwargs)
                File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 1279, in xpandas_read_csv
                  return pd.read_csv(xopen(filepath_or_buffer, "rb", download_config=download_config), **kwargs)
                         ~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/readers.py", line 1026, in read_csv
                  return _read(filepath_or_buffer, kwds)
                File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/readers.py", line 620, in _read
                  parser = TextFileReader(filepath_or_buffer, **kwds)
                File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/readers.py", line 1620, in __init__
                  self._engine = self._make_engine(f, self.engine)
                                 ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/readers.py", line 1898, in _make_engine
                  return mapping[engine](f, **self.options)
                         ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/c_parser_wrapper.py", line 93, in __init__
                  self._reader = parsers.TextReader(src, **kwds)
                                 ~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "pandas/_libs/parsers.pyx", line 574, in pandas._libs.parsers.TextReader.__cinit__
                File "pandas/_libs/parsers.pyx", line 663, in pandas._libs.parsers.TextReader._get_header
                File "pandas/_libs/parsers.pyx", line 874, in pandas._libs.parsers.TextReader._tokenize_rows
                File "pandas/_libs/parsers.pyx", line 891, in pandas._libs.parsers.TextReader._check_tokenize_status
                File "pandas/_libs/parsers.pyx", line 2053, in pandas._libs.parsers.raise_parser_error
                File "<frozen codecs>", line 325, in decode
              UnicodeDecodeError: 'utf-8' codec can't decode byte 0xad in position 0: invalid start byte
              
              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 1683, 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 1869, 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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frame_idx
int64
force_row_idx
int64
sensor0
null
sensor1
null
sensor2
null
sensor3
null
sensor4
null
sensor5
null
force
null
0
-1
null
null
null
null
null
null
null
1
-1
null
null
null
null
null
null
null
2
-1
null
null
null
null
null
null
null
3
-1
null
null
null
null
null
null
null
4
-1
null
null
null
null
null
null
null
5
-1
null
null
null
null
null
null
null
6
-1
null
null
null
null
null
null
null
7
-1
null
null
null
null
null
null
null
8
-1
null
null
null
null
null
null
null
9
-1
null
null
null
null
null
null
null
10
-1
null
null
null
null
null
null
null
11
-1
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null
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null
null
null
null
12
-1
null
null
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null
null
null
13
-1
null
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null
null
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14
-1
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15
-1
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-1
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17
-1
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18
-1
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null
19
-1
null
null
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20
-1
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null
null
null
21
-1
null
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null
null
22
-1
null
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null
null
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null
23
-1
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24
-1
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25
-1
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null
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26
-1
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null
27
-1
null
null
null
null
null
null
null
28
-1
null
null
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null
null
null
29
-1
null
null
null
null
null
null
null
30
-1
null
null
null
null
null
null
null
31
-1
null
null
null
null
null
null
null
32
-1
null
null
null
null
null
null
null
33
-1
null
null
null
null
null
null
null
34
-1
null
null
null
null
null
null
null
35
-1
null
null
null
null
null
null
null
36
-1
null
null
null
null
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null
37
-1
null
null
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null
null
null
null
38
-1
null
null
null
null
null
null
null
39
-1
null
null
null
null
null
null
null
40
-1
null
null
null
null
null
null
null
41
-1
null
null
null
null
null
null
null
42
-1
null
null
null
null
null
null
null
43
-1
null
null
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null
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null
null
44
-1
null
null
null
null
null
null
null
45
-1
null
null
null
null
null
null
null
46
-1
null
null
null
null
null
null
null
47
-1
null
null
null
null
null
null
null
48
-1
null
null
null
null
null
null
null
49
-1
null
null
null
null
null
null
null
50
-1
null
null
null
null
null
null
null
51
-1
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null
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52
-1
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null
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null
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53
-1
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55
-1
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-1
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null
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-1
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null
null
null
null
null
null
59
-1
null
null
null
null
null
null
null
60
-1
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null
null
null
null
null
null
61
-1
null
null
null
null
null
null
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62
-1
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null
null
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63
-1
null
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null
null
null
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64
-1
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null
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null
65
-1
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null
null
null
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null
66
-1
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null
null
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67
-1
null
null
null
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null
null
null
68
-1
null
null
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69
-1
null
null
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null
null
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70
-1
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71
-1
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72
-1
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-1
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-1
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-1
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76
-1
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-1
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-1
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-1
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80
-1
null
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81
-1
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82
-1
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83
-1
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84
-1
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null
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null
null
85
-1
null
null
null
null
null
null
null
86
-1
null
null
null
null
null
null
null
87
-1
null
null
null
null
null
null
null
88
-1
null
null
null
null
null
null
null
89
-1
null
null
null
null
null
null
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90
-1
null
null
null
null
null
null
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91
-1
null
null
null
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92
-1
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93
-1
null
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null
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94
-1
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null
null
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null
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95
-1
null
null
null
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96
-1
null
null
null
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null
null
null
97
-1
null
null
null
null
null
null
null
98
-1
null
null
null
null
null
null
null
99
-1
null
null
null
null
null
null
null
End of preview.

FEEL

FEEL is organized into two recording environments:

  • Lab/P1 through Lab/P21
  • Kitchen/P01 through Kitchen/P13

Each participant directory includes rgb.tar, an uncompressed tar archive whose top-level member is rgb/. Force-alignment CSV files are included where available. Expanded local rgb/ and depth/ directories are intentionally not uploaded because the RGB images are already packaged in rgb.tar and the Hub repository is archive-oriented.

Kitchen/participant_mapping.tsv maps anonymized Kitchen IDs back to the original local recording names.

Getting started

The full dataset is approximately 600 GB. We recommend starting with Kitchen/P12 (the Yianni recording), which is one of the higher-quality recordings, before downloading the remainder of the dataset.

Force preprocessing and sensor quality

The piezoresistive sensors are noisy. preprocess.py contains the preprocessing pipeline used to derive contact ground truth from the raw sensor measurements. This pipeline is intended for contact estimation; work that directly predicts force magnitudes will require a somewhat different preprocessing pipeline.

Some fingers experienced sensor drift or sensor malfunction during a recording. A combination of manual and automatic review was used to filter out the affected measurements. In the processed CSV files, the corresponding force columns are set to NaN for the affected intervals. Consequently, some fingers are absent from the supplied visualizations. Learning pipelines should treat these values as missing data rather than as zero-force observations, and should mask or otherwise handle them during training and evaluation.

Known data issue

Lab participant P21 contains 4,707 source JPEG files that OpenCV cannot decode. These corrupt files were preserved unchanged in rgb.tar; all readable P21 frames were processed with EgoBlur.

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