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Arko007
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yoga-dataset-raw

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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
id: string
title: string
formats: list<item: string>
  child 0, item: string
thumbnails: list<item: string>
  child 0, item: string
thumbnail: string
description: string
channel_id: string
channel_url: string
duration: int64
view_count: int64
age_limit: int64
webpage_url: string
categories: list<item: string>
  child 0, item: string
tags: list<item: string>
  child 0, item: string
playable_in_embed: bool
live_status: string
media_type: string
release_timestamp: int64
_format_sort_fields: list<item: string>
  child 0, item: string
automatic_captions: struct<>
subtitles: string
comment_count: int64
chapters: list<item: struct<start_time: double, title: string, end_time: double>>
  child 0, item: struct<start_time: double, title: string, end_time: double>
      child 0, start_time: double
      child 1, title: string
      child 2, end_time: double
heatmap: list<item: struct<start_time: double, end_time: double, value: double>>
  child 0, item: struct<start_time: double, end_time: double, value: double>
      child 0, start_time: double
      child 1, end_time: double
      child 2, value: double
like_count: int64
channel: string
channel_follower_count: int64
channel_is_verified: bool
uploader: string
uploader_id: string
uploader_url: string
upload_date: string
timestamp: int64
availability: string
webpage_url_basename: string
webpage_url_domain: string
extractor: string
extractor_key: string
display_id: string
fulltitle: string
duration_string: string
release_date: string
release_year: int64
is_live: bool
was_live: bool
epoch: int64
format: string
format_id: string
ext: string
protocol: string
format_note: string
filesize_approx: int64
tbr: double
width: int64
height: int64
resolution: string
fps: int64
dynamic_range: string
vcodec: string
vbr: double
aspect_ratio: double
acodec: string
abr: double
asr: int64
audio_channels: int64
_type: string
_version: struct<version: string, release_git_head: string, repository: string>
  child 0, version: string
  child 1, release_git_head: string
  child 2, repository: string
language: string
to
{'id': Value('string'), 'title': Value('string'), 'formats': List(Json(decode=True)), 'thumbnails': List(Json(decode=True)), 'thumbnail': Value('string'), 'description': Value('string'), 'channel_id': Value('string'), 'channel_url': Value('string'), 'duration': Value('int64'), 'view_count': Value('int64'), 'age_limit': Value('int64'), 'webpage_url': Value('string'), 'categories': List(Value('string')), 'tags': List(Value('string')), 'playable_in_embed': Value('bool'), 'live_status': Value('string'), 'media_type': Value('string'), '_format_sort_fields': List(Value('string')), 'automatic_captions': {'ab': List({'ext': Value('string'), 'url': Value('string'), 'name': Value('string'), 'impersonate': Value('bool')}), 'aa': List({'ext': Value('string'), 'url': Value('string'), 'name': Value('string'), 'impersonate': Value('bool')}), 'af': List({'ext': Value('string'), 'url': Value('string'), 'name': Value('string'), 'impersonate': Value('bool')}), 'ak': List({'ext': Value('string'), 'url': Value('string'), 'name': Value('string'), 'impersonate': Value('bool')}), 'sq': List({'ext': Value('string'), 'url': Value('string'), 'name': Value('string'), 'impersonate': Value('bool')}), 'am': List({'ext': Value('string'), 'url': Value('string'), 'name': Value('string'), 'impersonate': Value('bool')}), 'ar': List({'ext': Value('string'), 'url': Value('string'), 'name': Value('string'), 'impersonate': Value('bool')}), 'hy': List({'ext': Value('string'), 'url': Value('string'), 'name': Value('s
...
 Value('float64'), 'title': Value('string')}), 'heatmap': List({'start_time': Value('float64'), 'end_time': Value('float64'), 'value': Value('float64')}), 'like_count': Value('int64'), 'channel': Value('string'), 'channel_follower_count': Value('int64'), 'channel_is_verified': Value('bool'), 'uploader': Value('string'), 'uploader_id': Value('string'), 'uploader_url': Value('string'), 'upload_date': Value('string'), 'timestamp': Value('int64'), 'availability': Value('string'), 'webpage_url_basename': Value('string'), 'webpage_url_domain': Value('string'), 'extractor': Value('string'), 'extractor_key': Value('string'), 'display_id': Value('string'), 'fulltitle': Value('string'), 'duration_string': Value('string'), 'is_live': Value('bool'), 'was_live': Value('bool'), 'epoch': Value('int64'), 'format': Value('string'), 'format_id': Value('string'), 'ext': Value('string'), 'protocol': Value('string'), 'language': Value('string'), 'format_note': Value('string'), 'filesize_approx': Value('int64'), 'tbr': Value('float64'), 'width': Value('int64'), 'height': Value('int64'), 'resolution': Value('string'), 'fps': Value('int64'), 'dynamic_range': Value('string'), 'vcodec': Value('string'), 'vbr': Value('float64'), 'aspect_ratio': Value('float64'), 'acodec': Value('string'), 'abr': Value('float64'), 'asr': Value('int64'), 'audio_channels': Value('int64'), '_type': Value('string'), '_version': {'version': Value('string'), 'release_git_head': Value('string'), 'repository': Value('string')}}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                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 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 299, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              id: string
              title: string
              formats: list<item: string>
                child 0, item: string
              thumbnails: list<item: string>
                child 0, item: string
              thumbnail: string
              description: string
              channel_id: string
              channel_url: string
              duration: int64
              view_count: int64
              age_limit: int64
              webpage_url: string
              categories: list<item: string>
                child 0, item: string
              tags: list<item: string>
                child 0, item: string
              playable_in_embed: bool
              live_status: string
              media_type: string
              release_timestamp: int64
              _format_sort_fields: list<item: string>
                child 0, item: string
              automatic_captions: struct<>
              subtitles: string
              comment_count: int64
              chapters: list<item: struct<start_time: double, title: string, end_time: double>>
                child 0, item: struct<start_time: double, title: string, end_time: double>
                    child 0, start_time: double
                    child 1, title: string
                    child 2, end_time: double
              heatmap: list<item: struct<start_time: double, end_time: double, value: double>>
                child 0, item: struct<start_time: double, end_time: double, value: double>
                    child 0, start_time: double
                    child 1, end_time: double
                    child 2, value: double
              like_count: int64
              channel: string
              channel_follower_count: int64
              channel_is_verified: bool
              uploader: string
              uploader_id: string
              uploader_url: string
              upload_date: string
              timestamp: int64
              availability: string
              webpage_url_basename: string
              webpage_url_domain: string
              extractor: string
              extractor_key: string
              display_id: string
              fulltitle: string
              duration_string: string
              release_date: string
              release_year: int64
              is_live: bool
              was_live: bool
              epoch: int64
              format: string
              format_id: string
              ext: string
              protocol: string
              format_note: string
              filesize_approx: int64
              tbr: double
              width: int64
              height: int64
              resolution: string
              fps: int64
              dynamic_range: string
              vcodec: string
              vbr: double
              aspect_ratio: double
              acodec: string
              abr: double
              asr: int64
              audio_channels: int64
              _type: string
              _version: struct<version: string, release_git_head: string, repository: string>
                child 0, version: string
                child 1, release_git_head: string
                child 2, repository: string
              language: string
              to
              {'id': Value('string'), 'title': Value('string'), 'formats': List(Json(decode=True)), 'thumbnails': List(Json(decode=True)), 'thumbnail': Value('string'), 'description': Value('string'), 'channel_id': Value('string'), 'channel_url': Value('string'), 'duration': Value('int64'), 'view_count': Value('int64'), 'age_limit': Value('int64'), 'webpage_url': Value('string'), 'categories': List(Value('string')), 'tags': List(Value('string')), 'playable_in_embed': Value('bool'), 'live_status': Value('string'), 'media_type': Value('string'), '_format_sort_fields': List(Value('string')), 'automatic_captions': {'ab': List({'ext': Value('string'), 'url': Value('string'), 'name': Value('string'), 'impersonate': Value('bool')}), 'aa': List({'ext': Value('string'), 'url': Value('string'), 'name': Value('string'), 'impersonate': Value('bool')}), 'af': List({'ext': Value('string'), 'url': Value('string'), 'name': Value('string'), 'impersonate': Value('bool')}), 'ak': List({'ext': Value('string'), 'url': Value('string'), 'name': Value('string'), 'impersonate': Value('bool')}), 'sq': List({'ext': Value('string'), 'url': Value('string'), 'name': Value('string'), 'impersonate': Value('bool')}), 'am': List({'ext': Value('string'), 'url': Value('string'), 'name': Value('string'), 'impersonate': Value('bool')}), 'ar': List({'ext': Value('string'), 'url': Value('string'), 'name': Value('string'), 'impersonate': Value('bool')}), 'hy': List({'ext': Value('string'), 'url': Value('string'), 'name': Value('s
              ...
               Value('float64'), 'title': Value('string')}), 'heatmap': List({'start_time': Value('float64'), 'end_time': Value('float64'), 'value': Value('float64')}), 'like_count': Value('int64'), 'channel': Value('string'), 'channel_follower_count': Value('int64'), 'channel_is_verified': Value('bool'), 'uploader': Value('string'), 'uploader_id': Value('string'), 'uploader_url': Value('string'), 'upload_date': Value('string'), 'timestamp': Value('int64'), 'availability': Value('string'), 'webpage_url_basename': Value('string'), 'webpage_url_domain': Value('string'), 'extractor': Value('string'), 'extractor_key': Value('string'), 'display_id': Value('string'), 'fulltitle': Value('string'), 'duration_string': Value('string'), 'is_live': Value('bool'), 'was_live': Value('bool'), 'epoch': Value('int64'), 'format': Value('string'), 'format_id': Value('string'), 'ext': Value('string'), 'protocol': Value('string'), 'language': Value('string'), 'format_note': Value('string'), 'filesize_approx': Value('int64'), 'tbr': Value('float64'), 'width': Value('int64'), 'height': Value('int64'), 'resolution': Value('string'), 'fps': Value('int64'), 'dynamic_range': Value('string'), 'vcodec': Value('string'), 'vbr': Value('float64'), 'aspect_ratio': Value('float64'), 'acodec': Value('string'), 'abr': Value('float64'), 'asr': Value('int64'), 'audio_channels': Value('int64'), '_type': Value('string'), '_version': {'version': Value('string'), 'release_git_head': Value('string'), 'repository': Value('string')}}
              because column names don't match
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Yoga Dataset Raw

Dataset Description

This repository contains raw data related to Yoga practices, collected for research and development purposes. The dataset includes video files and their associated metadata descriptions.
Content

The data is organized into two primary subsets:
Yoga_Dataset_Raw: Original raw video captures and JSON metadata.
yoga_raw_dataset: Additional video sequences and description files.
Purpose

This is a raw data collection intended for future processing, cleaning, and annotation. It serves as a foundational source for building computer vision models or action recognition systems related to yoga poses.
Usage

This dataset is currently in its raw form. Users should be prepared to handle various video formats and unstructured metadata files.
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Total file size:
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