Datasets:

mbudisic
/

PsTuts-VQA

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
video_id: int64
title: string
desc: string
length: string
url: string
transcripts: list<item: struct<begin: double, end: double, sent: string, sent_id: int64>>
  child 0, item: struct<begin: double, end: double, sent: string, sent_id: int64>
      child 0, begin: double
      child 1, end: double
      child 2, sent: string
      child 3, sent_id: int64
qa: list<item: struct<a: string, q: string, sent_id: int64>>
  child 0, item: struct<a: string, q: string, sent_id: int64>
      child 0, a: string
      child 1, q: string
      child 2, sent_id: int64
video: null
question: null
answer: null
timestamp: null
entity_id: null
option_id: null
-- schema metadata --
pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 905
to
{'video': Video(decode=True, id=None), 'question': Value(dtype='string', id=None), 'answer': Value(dtype='string', id=None), 'timestamp': Value(dtype='float32', id=None), 'entity_id': Value(dtype='string', id=None), 'option_id': Value(dtype='string', id=None)}
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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2270, in __iter__
                  for key, example in ex_iterable:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1856, in __iter__
                  for key, pa_table in self._iter_arrow():
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1888, in _iter_arrow
                  pa_table = cast_table_to_features(pa_table, self.features)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2215, in cast_table_to_features
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              video_id: int64
              title: string
              desc: string
              length: string
              url: string
              transcripts: list<item: struct<begin: double, end: double, sent: string, sent_id: int64>>
                child 0, item: struct<begin: double, end: double, sent: string, sent_id: int64>
                    child 0, begin: double
                    child 1, end: double
                    child 2, sent: string
                    child 3, sent_id: int64
              qa: list<item: struct<a: string, q: string, sent_id: int64>>
                child 0, item: struct<a: string, q: string, sent_id: int64>
                    child 0, a: string
                    child 1, q: string
                    child 2, sent_id: int64
              video: null
              question: null
              answer: null
              timestamp: null
              entity_id: null
              option_id: null
              -- schema metadata --
              pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 905
              to
              {'video': Video(decode=True, id=None), 'question': Value(dtype='string', id=None), 'answer': Value(dtype='string', id=None), 'timestamp': Value(dtype='float32', id=None), 'entity_id': Value(dtype='string', id=None), 'option_id': Value(dtype='string', id=None)}
              because column names don't match

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

PsTuts-VQA-Dataset

Note: This is a mirror of Adobe Research dataset hosted at https://github.com/adobe-research/PsTuts-VQA-Dataset and released under a permissive CC license.

https://sites.google.com/view/pstuts-vqa/home

PsTuts-VQA is a video question answering dataset on the narrated instructional videos for an image editing software. All the videos and their manual transcripts in English were obtained from the official website of the software. To collect a high-quality question answering dataset, three image editing experts using the software were hired and asked to watch the videos in sequence and generate a question and answer pair at a moment in the video. Each answer is linked to an entity or an option in an existing knowledge base for the software. The dataset includes the following resources: 76 videos (5.6 hours in total), 17,768 question-answer pairs, and a domain knowledge-base with 1,236 entities and 2,196 options.

Please see the license: https://creativecommons.org/licenses/by-nc/4.0/legalcode

Downloads last month: 53