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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
wikipedia_title: string
wikipedia_url: string
question_original: string
question: string
question_type: string
answer: string
evidence: string
evidence_section_id: string
evidence_section_title: string
dataset_name: string
dataset_category_id: int64
wikipedia_url_used_in_train: bool
encyclopedic_vqa_split: string
dataset_image_ids: string
output: struct<answer: list<item: string>, original_answer: string>
  child 0, answer: list<item: string>
      child 0, item: string
  child 1, original_answer: string
input: string
input_oracle: string
image_path: string
image: struct<bytes: binary, path: string>
  child 0, bytes: binary
  child 1, path: string
id: string
pos_item_contents: list<item: string>
  child 0, item: string
-- schema metadata --
huggingface: '{"info": {"features": {"wikipedia_title": {"dtype": "string' + 1259
to
{'dpr_embedding': Sequence(feature=Value(dtype='float32', id=None), length=-1, id=None)}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1855, in _prepare_split_single
                  for _, table in generator:
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 690, in wrapped
                  for item in generator(*args, **kwargs):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/arrow/arrow.py", line 76, in _generate_tables
                  yield f"{file_idx}_{batch_idx}", self._cast_table(pa_table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/arrow/arrow.py", line 59, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2293, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2241, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              wikipedia_title: string
              wikipedia_url: string
              question_original: string
              question: string
              question_type: string
              answer: string
              evidence: string
              evidence_section_id: string
              evidence_section_title: string
              dataset_name: string
              dataset_category_id: int64
              wikipedia_url_used_in_train: bool
              encyclopedic_vqa_split: string
              dataset_image_ids: string
              output: struct<answer: list<item: string>, original_answer: string>
                child 0, answer: list<item: string>
                    child 0, item: string
                child 1, original_answer: string
              input: string
              input_oracle: string
              image_path: string
              image: struct<bytes: binary, path: string>
                child 0, bytes: binary
                child 1, path: string
              id: string
              pos_item_contents: list<item: string>
                child 0, item: string
              -- schema metadata --
              huggingface: '{"info": {"features": {"wikipedia_title": {"dtype": "string' + 1259
              to
              {'dpr_embedding': Sequence(feature=Value(dtype='float32', id=None), length=-1, id=None)}
              because column names don't match
              
              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 1431, 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 992, in stream_convert_to_parquet
                  builder._prepare_split(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1742, 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 1898, 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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dpr_embedding
sequence
[ 0.040028899908065796, 0.3343099057674408, -0.17159432172775269, 0.012868613936007023, 0.0007092221640050411, -0.3325921297073364, 0.3059297800064087, -0.0754309669137001, 0.24301989376544952, 0.04792418330907822, 0.2278425246477127, 0.022246960550546646, -0.12751880288124084, 0.22154007852...
[ -0.07038498669862747, -0.08394207805395126, 0.12829962372779846, -0.017535876482725143, -0.08226948976516724, -0.0070396605879068375, 0.3889507055282593, 0.19047513604164124, -0.03476564213633537, 0.060919009149074554, -0.11888092756271362, -0.24358513951301575, -0.06624400615692139, 0.116...
[ 0.18864677846431732, 0.2408708781003952, -0.21218393743038177, 0.07793556898832321, 0.1752272993326187, -0.07524199783802032, 0.09551199525594711, 0.20418161153793335, 0.005561005789786577, -0.1002894937992096, -0.12542691826820374, 0.06446890532970428, -0.023787040263414383, -0.0426918119...
[ 0.19949927926063538, 0.2856397330760956, 0.11365766823291779, -0.0035357018932700157, 0.4462149143218994, -0.16428203880786896, -0.002033232944086194, 0.06220212206244469, 0.16293835639953613, -0.34410831332206726, 0.046689052134752274, -0.14831027388572693, 0.08562351018190384, 0.20546016...
[ 0.040028899908065796, 0.3343099057674408, -0.17159432172775269, 0.012868613936007023, 0.0007092221640050411, -0.3325921297073364, 0.3059297800064087, -0.0754309669137001, 0.24301989376544952, 0.04792418330907822, 0.2278425246477127, 0.022246960550546646, -0.12751880288124084, 0.22154007852...
[ 0.0888005718588829, 0.13200345635414124, 0.0016488665714859962, 0.12382795661687851, 0.12413924187421799, -0.05589595437049866, -0.044908322393894196, 0.23236030340194702, 0.15730449557304382, -0.2102954089641571, -0.14612652361392975, 0.12736926972866058, 0.07585027813911438, 0.0213643610...
[ -0.07761967182159424, 0.17787282168865204, -0.11492747068405151, -0.04609929397702217, -0.06794431805610657, 0.14338944852352142, 0.2165575474500656, 0.3612710237503052, -0.13341917097568512, 0.024651871994137764, -0.1775643676519394, -0.08091912418603897, 0.1482415348291397, 0.04288242012...
[ -0.07038498669862747, -0.08394207805395126, 0.12829962372779846, -0.017535876482725143, -0.08226948976516724, -0.0070396605879068375, 0.3889507055282593, 0.19047513604164124, -0.03476564213633537, 0.060919009149074554, -0.11888092756271362, -0.24358513951301575, -0.06624400615692139, 0.116...
[ -0.02028774470090866, 0.02969871461391449, 0.13247598707675934, 0.1958436518907547, 0.09167326241731644, 0.007042696233838797, 0.11934661120176315, 0.058796755969524384, 0.0790436789393425, 0.10651599615812302, -0.10567951202392578, -0.1972080022096634, 0.07491530478000641, 0.1513832211494...
[ 0.18864677846431732, 0.2408708781003952, -0.21218393743038177, 0.07793556898832321, 0.1752272993326187, -0.07524199783802032, 0.09551199525594711, 0.20418161153793335, 0.005561005789786577, -0.1002894937992096, -0.12542691826820374, 0.06446890532970428, -0.023787040263414383, -0.0426918119...
[ 0.04956115782260895, -0.04877254739403725, 0.314301997423172, -0.015146519057452679, 0.17486053705215454, -0.23043185472488403, 0.22106871008872986, -0.0946633592247963, 0.05655893683433533, -0.13460826873779297, 0.07899736613035202, -0.13140803575515747, 0.009094447828829288, 0.2286278754...
[ -0.07761967182159424, 0.17787282168865204, -0.11492747068405151, -0.04609929397702217, -0.06794431805610657, 0.14338944852352142, 0.2165575474500656, 0.3612710237503052, -0.13341917097568512, 0.024651871994137764, -0.1775643676519394, -0.08091912418603897, 0.1482415348291397, 0.04288242012...
End of preview.