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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    ArrowNotImplementedError
Message:      Unsupported cast from double to halffloat using function cast_half_float
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1625, in _prepare_split_single
                  writer.write(example, key)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 537, in write
                  self.write_examples_on_file()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 495, in write_examples_on_file
                  self.write_batch(batch_examples=batch_examples)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 605, in write_batch
                  arrays.append(pa.array(typed_sequence))
                File "pyarrow/array.pxi", line 247, in pyarrow.lib.array
                File "pyarrow/array.pxi", line 112, in pyarrow.lib._handle_arrow_array_protocol
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 243, in __arrow_array__
                  out = cast_array_to_feature(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1797, in wrapper
                  return func(array, *args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2065, in cast_array_to_feature
                  casted_array_values = _c(array.values, feature.feature)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1797, in wrapper
                  return func(array, *args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2065, in cast_array_to_feature
                  casted_array_values = _c(array.values, feature.feature)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1797, in wrapper
                  return func(array, *args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2102, in cast_array_to_feature
                  return array_cast(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1797, in wrapper
                  return func(array, *args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1949, in array_cast
                  return array.cast(pa_type)
                File "pyarrow/array.pxi", line 996, in pyarrow.lib.Array.cast
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/compute.py", line 404, in cast
                  return call_function("cast", [arr], options, memory_pool)
                File "pyarrow/_compute.pyx", line 590, in pyarrow._compute.call_function
                File "pyarrow/_compute.pyx", line 385, in pyarrow._compute.Function.call
                File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
              pyarrow.lib.ArrowNotImplementedError: Unsupported cast from double to halffloat using function cast_half_float
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1634, in _prepare_split_single
                  num_examples, num_bytes = writer.finalize()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 636, in finalize
                  self.write_examples_on_file()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 495, in write_examples_on_file
                  self.write_batch(batch_examples=batch_examples)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 605, in write_batch
                  arrays.append(pa.array(typed_sequence))
                File "pyarrow/array.pxi", line 247, in pyarrow.lib.array
                File "pyarrow/array.pxi", line 112, in pyarrow.lib._handle_arrow_array_protocol
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 243, in __arrow_array__
                  out = cast_array_to_feature(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1797, in wrapper
                  return func(array, *args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2065, in cast_array_to_feature
                  casted_array_values = _c(array.values, feature.feature)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1797, in wrapper
                  return func(array, *args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2065, in cast_array_to_feature
                  casted_array_values = _c(array.values, feature.feature)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1797, in wrapper
                  return func(array, *args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2102, in cast_array_to_feature
                  return array_cast(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1797, in wrapper
                  return func(array, *args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1949, in array_cast
                  return array.cast(pa_type)
                File "pyarrow/array.pxi", line 996, in pyarrow.lib.Array.cast
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/compute.py", line 404, in cast
                  return call_function("cast", [arr], options, memory_pool)
                File "pyarrow/_compute.pyx", line 590, in pyarrow._compute.call_function
                File "pyarrow/_compute.pyx", line 385, in pyarrow._compute.Function.call
                File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
              pyarrow.lib.ArrowNotImplementedError: Unsupported cast from double to halffloat using function cast_half_float
              
              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 1412, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 988, in stream_convert_to_parquet
                  builder._prepare_split(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1486, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1643, 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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__key__
string
__url__
string
npy
sequence
anet_features/univl/video/v_Bl2Hqx3h9Fw
hf://datasets/Exclibur/dibs-feature@8bca52d7ab11370708dbded6aa50576cbb51a1a8/anet_feature.tar.xz
[[0.0,0.0127716064453125,0.0007176399230957031,0.0007495880126953125,0.0,0.0,0.0,0.0,0.0154190063476(...TRUNCATED)
anet_features/univl/video/v_UJwWjTvDEpQ
hf://datasets/Exclibur/dibs-feature@8bca52d7ab11370708dbded6aa50576cbb51a1a8/anet_feature.tar.xz
[[0.08697509765625,0.0101470947265625,0.007213592529296875,0.002841949462890625,0.0060272216796875,0(...TRUNCATED)
anet_features/univl/video/v_W_scepAxfPA
hf://datasets/Exclibur/dibs-feature@8bca52d7ab11370708dbded6aa50576cbb51a1a8/anet_feature.tar.xz
[[0.0,0.01418304443359375,0.0340576171875,0.009063720703125,0.0,0.0015134811401367188,0.077575683593(...TRUNCATED)
anet_features/univl/video/v_PD9e9MVHEyU
hf://datasets/Exclibur/dibs-feature@8bca52d7ab11370708dbded6aa50576cbb51a1a8/anet_feature.tar.xz
[[0.0,0.033721923828125,0.00543212890625,0.0070037841796875,0.0,0.0,0.01459503173828125,0.0,0.0,0.0,(...TRUNCATED)
anet_features/univl/video/v_xAaHXwTz1Ug
hf://datasets/Exclibur/dibs-feature@8bca52d7ab11370708dbded6aa50576cbb51a1a8/anet_feature.tar.xz
[[0.00879669189453125,0.0012054443359375,0.0011892318725585938,0.0013818740844726562,0.0004620552062(...TRUNCATED)
anet_features/univl/video/v_J_SD_hhGET8
hf://datasets/Exclibur/dibs-feature@8bca52d7ab11370708dbded6aa50576cbb51a1a8/anet_feature.tar.xz
[[0.00014340877532958984,0.004512786865234375,0.02935791015625,0.0006031990051269531,0.0,0.037536621(...TRUNCATED)
anet_features/univl/video/v_SN_YS2w3JhE
hf://datasets/Exclibur/dibs-feature@8bca52d7ab11370708dbded6aa50576cbb51a1a8/anet_feature.tar.xz
[[0.0,0.004238128662109375,0.0016574859619140625,0.0411376953125,0.0,0.0,0.0,0.0,0.0,0.0,0.025817871(...TRUNCATED)
anet_features/univl/video/v_-uICMT1yOcM
hf://datasets/Exclibur/dibs-feature@8bca52d7ab11370708dbded6aa50576cbb51a1a8/anet_feature.tar.xz
[[0.022430419921875,0.0,0.0012254714965820312,0.0078582763671875,0.0018672943115234375,0.00310325622(...TRUNCATED)
anet_features/univl/video/v_itlF0DEBetk
hf://datasets/Exclibur/dibs-feature@8bca52d7ab11370708dbded6aa50576cbb51a1a8/anet_feature.tar.xz
[[0.0,0.00009518861770629883,0.006465911865234375,0.0018444061279296875,0.01526641845703125,0.024017(...TRUNCATED)
anet_features/univl/video/v_LZ-Cy0GqCiU
hf://datasets/Exclibur/dibs-feature@8bca52d7ab11370708dbded6aa50576cbb51a1a8/anet_feature.tar.xz
[[0.06292724609375,0.0247955322265625,0.01055145263671875,0.00916290283203125,0.04205322265625,0.016(...TRUNCATED)
End of preview.

DIBS Features

Pre-extracted CLIP and UniVL features of the YouCook2, ActivityNet and HowTo100M custom subset used in DIBS.

To process the HowTo100M subset features, first combine all the split files and then extract them using the following commands:

# Combine the split files
cat howto_subset_features.tar.gz.part* > howto_subset_features.tar.gz

# Uncompress the combined file
tar -xvzf howto_subset_features.tar.gz

File Structure

├── yc2
│   ├── clip_features
│   │   ├── video
│   │   │   ├── video1_clip.npy
│   │   │   ├── video2_clip.npy
│   │   │   └── ...
│   │   ├── text_proj
│   │       ├── v_video1.npy
│   │       ├── v_video2.npy
│   │       └── ...
│   ├── UniVL_features
│       ├── video
│       │   ├── video1.npy
│       │   ├── video2.npy
│       │   └── ...
│       ├── UniVL_visual
│       │   ├── video1.npy
│       │   ├── video2.npy
│       │   └── ...
│       ├── UniVL_text
│           ├── video1.npy
│           ├── video2.npy
│           └── ...
├── anet_features
│   ├── clip
│   │   ├── clip_visual
│   │   │   ├── v_video1_clip.npy
│   │   │   ├── v_video2_clip.npy
│   │   │   └── ...
│   │   ├── clip_text_new
│   │       ├── v_video1.npy
│   │       ├── v_video2.npy
│   │       └── ...
│   ├── univl
│       ├── video
│       │   ├── v_video1.npy
│       │   ├── v_video2.npy
│       │   └── ...
│       ├── visual
│       │   ├── video1.npy
│       │   ├── video2.npy
│       │   └── ...
│       ├── text
│           ├── video1.npy
│           ├── video2.npy
│           └── ...
├── howto100m
│   ├── clip_features
│   │   ├── visual
│   │   │   ├── video1_clip.npy
│   │   │   ├── video2_clip.npy
│   │   │   └── ...
│   │   ├── text_proj
│   │       ├── video1.npy
│   │       ├── video2.npy
│   │       └── ...
│   ├── univl_features
│       ├── video
│       │   ├── video1.npy
│       │   ├── video2.npy
│       │   └── ...
│       ├── visual
│       │   ├── video1.npy
│       │   ├── video2.npy
│       │   └── ...
│       ├── text
│           ├── video1.npy
│           ├── video2.npy
│           └── ...
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