Datasets:

vnktrmnb
/

autotrain-data-qa_xlm_roberta_large_tesquad2

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Split (2)

train

The full dataset viewer is not available (click to read why). Only showing a preview of the rows.

The dataset generation failed

Error code:   DatasetGenerationError
Exception:    DatasetGenerationError
Message:      An error occurred while generating the dataset
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2011, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 583, in write_table
                  self._build_writer(inferred_schema=pa_table.schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 404, in _build_writer
                  self.pa_writer = self._WRITER_CLASS(self.stream, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/parquet/core.py", line 1016, in __init__
                  self.writer = _parquet.ParquetWriter(
                File "pyarrow/_parquet.pyx", line 1869, in pyarrow._parquet.ParquetWriter.__cinit__
                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: Cannot write struct type '_format_kwargs' with no child field to Parquet. Consider adding a dummy child field.
              
              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 2027, 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 602, in finalize
                  self._build_writer(self.schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 404, in _build_writer
                  self.pa_writer = self._WRITER_CLASS(self.stream, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/parquet/core.py", line 1016, in __init__
                  self.writer = _parquet.ParquetWriter(
                File "pyarrow/_parquet.pyx", line 1869, in pyarrow._parquet.ParquetWriter.__cinit__
                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: Cannot write struct type '_format_kwargs' with no child field to Parquet. Consider adding a dummy child field.
              
              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 1321, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 935, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, 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 2038, 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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_data_files list	_fingerprint string	_format_columns sequence	_format_kwargs dict	_format_type null	_output_all_columns bool	_split null
[ { "filename": "data-00000-of-00001.arrow" } ]	b3bcd462f6f59a54	[ "answers.answer_start", "answers.text", "context", "feat_id", "question" ]	{}	null	false	null

AutoTrain Dataset for project: qa_xlm_roberta_large_tesquad2

Dataset Description

This dataset has been automatically processed by AutoTrain for project qa_xlm_roberta_large_tesquad2.

Languages

The BCP-47 code for the dataset's language is unk.

Dataset Structure

Data Instances

A sample from this dataset looks as follows:

[
  {
    "context": "7 \u0c0f\u0c2a\u0c4d\u0c30\u0c3f\u0c32\u0c4d 1963\u0c28, \u0c26\u0c47\u0c36\u0c02 \u0c24\u0c28 \u0c05\u0c27\u0c3f\u0c15\u0c3e\u0c30\u0c3f\u0c15 \u0c2a\u0c47\u0c30\u0c41\u0c28\u0c41 \u0c38\u0c4b\u0c37\u0c32\u0c3f\u0c38\u0c4d\u0c1f\u0c4d \u0c2b\u0c46\u0c21\u0c30\u0c32\u0c4d \u0c30\u0c3f\u0c2a\u0c2c\u0c4d\u0c32\u0c3f\u0c15\u0c4d \u0c06\u0c2b\u0c4d \u0c2f\u0c41\u0c17\u0c4b\u0c38\u0c4d\u0c32\u0c47\u0c35\u0c3f\u0c2f\u0c3e\u0c17\u0c3e \u0c2e\u0c3e\u0c30\u0c4d\u0c1a\u0c3f\u0c02\u0c26\u0c3f. \u0c38\u0c02\u0c38\u0c4d\u0c15\u0c30\u0c23\u0c32\u0c41 \u0c2a\u0c4d\u0c30\u0c48\u0c35\u0c47\u0c1f\u0c4d \u0c38\u0c02\u0c38\u0c4d\u0c25\u0c28\u0c41 \u0c2a\u0c4d\u0c30\u0c4b\u0c24\u0c4d\u0c38\u0c39\u0c3f\u0c02\u0c1a\u0c3e\u0c2f\u0c3f \u0c2e\u0c30\u0c3f\u0c2f\u0c41 \u0c35\u0c3e\u0c15\u0c4d \u0c38\u0c4d\u0c35\u0c3e\u0c24\u0c02\u0c24\u0c4d\u0c30\u0c4d\u0c2f\u0c02 \u0c2e\u0c30\u0c3f\u0c2f\u0c41 \u0c2e\u0c24\u0c2a\u0c30\u0c2e\u0c48\u0c28 \u0c35\u0c4d\u0c2f\u0c15\u0c4d\u0c24\u0c40\u0c15\u0c30\u0c23\u0c2a\u0c48 \u0c2a\u0c30\u0c3f\u0c2e\u0c3f\u0c24\u0c41\u0c32\u0c28\u0c41 \u0c2c\u0c3e\u0c17\u0c3e \u0c38\u0c21\u0c32\u0c3f\u0c02\u0c1a\u0c3e\u0c2f\u0c3f. \u0c06 \u0c24\u0c30\u0c4d\u0c35\u0c3e\u0c24 \u0c1f\u0c3f\u0c1f\u0c4b \u0c05\u0c2e\u0c46\u0c30\u0c3f\u0c15\u0c3e \u0c2a\u0c30\u0c4d\u0c2f\u0c1f\u0c28\u0c15\u0c41 \u0c35\u0c46\u0c33\u0c4d\u0c32\u0c3e\u0c21\u0c41. \u0c1a\u0c3f\u0c32\u0c40\u0c32\u0c4b, \u0c06 \u0c26\u0c47\u0c36 \u0c2a\u0c30\u0c4d\u0c2f\u0c1f\u0c28\u0c2a\u0c48 \u0c07\u0c26\u0c4d\u0c26\u0c30\u0c41 \u0c2a\u0c4d\u0c30\u0c2d\u0c41\u0c24\u0c4d\u0c35 \u0c2e\u0c02\u0c24\u0c4d\u0c30\u0c41\u0c32\u0c41 \u0c30\u0c3e\u0c1c\u0c40\u0c28\u0c3e\u0c2e\u0c3e \u0c1a\u0c47\u0c36\u0c3e\u0c30\u0c41. ~ 1960 ~ \u0c36\u0c30\u0c26\u0c43\u0c24\u0c41\u0c35\u0c41\u0c32\u0c4b \u0c1f\u0c3f\u0c1f\u0c4b \u0c10\u0c15\u0c4d\u0c2f\u0c30\u0c3e\u0c1c\u0c4d\u0c2f\u0c38\u0c2e\u0c3f\u0c24\u0c3f \u0c1c\u0c28\u0c30\u0c32\u0c4d \u0c05\u0c38\u0c46\u0c02\u0c2c\u0c4d\u0c32\u0c40 \u0c38\u0c2e\u0c3e\u0c35\u0c47\u0c36\u0c02\u0c32\u0c4b \u0c05\u0c27\u0c4d\u0c2f\u0c15\u0c4d\u0c37\u0c41\u0c21\u0c41 \u0c21\u0c4d\u0c35\u0c48\u0c1f\u0c4d \u0c21\u0c3f. \u0c10\u0c38\u0c46\u0c28\u0c4d\u200c\u0c39\u0c4b\u0c35\u0c30\u0c4d\u200c\u0c28\u0c41 \u0c15\u0c32\u0c3f\u0c36\u0c3e\u0c30\u0c41. \u0c1f\u0c3f\u0c1f\u0c4b \u0c2e\u0c30\u0c3f\u0c2f\u0c41 \u0c10\u0c38\u0c46\u0c28\u0c4d\u200c\u0c39\u0c4b\u0c35\u0c30\u0c4d \u0c06\u0c2f\u0c41\u0c27 \u0c28\u0c3f\u0c2f\u0c02\u0c24\u0c4d\u0c30\u0c23 \u0c28\u0c41\u0c02\u0c21\u0c3f \u0c06\u0c30\u0c4d\u0c25\u0c3f\u0c15 \u0c05\u0c2d\u0c3f\u0c35\u0c43\u0c26\u0c4d\u0c27\u0c3f \u0c35\u0c30\u0c15\u0c41 \u0c05\u0c28\u0c47\u0c15 \u0c05\u0c02\u0c36\u0c3e\u0c32\u0c2a\u0c48 \u0c1a\u0c30\u0c4d\u0c1a\u0c3f\u0c02\u0c1a\u0c3e\u0c30\u0c41. \u0c2f\u0c41\u0c17\u0c4b\u0c38\u0c4d\u0c32\u0c47\u0c35\u0c3f\u0c2f\u0c3e \u0c2f\u0c4a\u0c15\u0c4d\u0c15 \u0c24\u0c1f\u0c38\u0c4d\u0c25\u0c24 \"\u0c05\u0c24\u0c28\u0c3f \u0c35\u0c48\u0c2a\u0c41 \u0c24\u0c1f\u0c38\u0c4d\u0c25\u0c02\u0c17\u0c3e \u0c09\u0c02\u0c26\u0c3f\" \u0c05\u0c28\u0c3f \u0c10\u0c38\u0c46\u0c28\u0c4d\u200c\u0c39\u0c4b\u0c35\u0c30\u0c4d \u0c35\u0c4d\u0c2f\u0c3e\u0c16\u0c4d\u0c2f\u0c3e\u0c28\u0c3f\u0c02\u0c1a\u0c3f\u0c28\u0c2a\u0c4d\u0c2a\u0c41\u0c21\u0c41, \u0c24\u0c1f\u0c38\u0c4d\u0c25\u0c24 \u0c05\u0c28\u0c47\u0c26\u0c3f \u0c28\u0c3f\u0c37\u0c4d\u0c15\u0c4d\u0c30\u0c3f\u0c2f\u0c3e\u0c24\u0c4d\u0c2e\u0c15\u0c24\u0c28\u0c41 \u0c38\u0c42\u0c1a\u0c3f\u0c02\u0c1a\u0c26\u0c41, \u0c15\u0c3e\u0c28\u0c40 \"\u0c2a\u0c15\u0c4d\u0c37\u0c3e\u0c32\u0c41 \u0c24\u0c40\u0c38\u0c41\u0c15\u0c4b\u0c15\u0c2a\u0c4b\u0c35\u0c21\u0c02\" \u0c05\u0c28\u0c3f \u0c05\u0c30\u0c4d\u0c25\u0c02 \u0c05\u0c28\u0c3f \u0c1f\u0c3f\u0c1f\u0c4b \u0c2c\u0c26\u0c41\u0c32\u0c3f\u0c1a\u0c4d\u0c1a\u0c3e\u0c30\u0c41.",
    "question": "U.N.\u0c32\u0c4b \u0c1f\u0c3f\u0c1f\u0c4b \u0c10\u0c38\u0c46\u0c28\u0c4d\u200c\u0c39\u0c4b\u0c35\u0c30\u0c4d\u200c\u0c28\u0c41 \u0c0e\u0c2a\u0c4d\u0c2a\u0c41\u0c21\u0c41 \u0c15\u0c32\u0c3f\u0c36\u0c3e\u0c21\u0c41?",
    "answers.text": [
      " 1960 "
    ],
    "answers.answer_start": [
      324
    ],
    "feat_id": [
      "56f7f401aef2371900625cc8"
    ]
  },
  {
    "context": "\u0c38\u0c40\u0c38\u0c3f\u0c2f\u0c02 \u0c2e\u0c30\u0c3f\u0c2f\u0c41 \u0c2c\u0c02\u0c17\u0c3e\u0c30\u0c02 (\u0c30\u0c46\u0c02\u0c21\u0c42 \u0c2a\u0c38\u0c41\u0c2a\u0c41), \u0c2e\u0c30\u0c3f\u0c2f\u0c41 \u0c13\u0c38\u0c4d\u0c2e\u0c3f\u0c2f\u0c02 (\u0c28\u0c40\u0c32\u0c02)\u0c24\u0c4b \u0c15\u0c32\u0c3f\u0c2a\u0c3f, \u0c2c\u0c42\u0c21\u0c3f\u0c26 \u0c32\u0c47\u0c26\u0c3e \u0c35\u0c46\u0c02\u0c21\u0c3f \u0c15\u0c3e\u0c15\u0c41\u0c02\u0c21\u0c3e \u0c38\u0c39\u0c1c \u0c30\u0c02\u0c17\u0c41 \u0c15\u0c32\u0c3f\u0c17\u0c3f\u0c28 \u0c28\u0c3e\u0c32\u0c41\u0c17\u0c41 \u0c2e\u0c42\u0c32\u0c15 \u0c32\u0c4b\u0c39\u0c3e\u0c32\u0c32\u0c4b \u0c30\u0c3e\u0c17\u0c3f \u0c12\u0c15\u0c1f\u0c3f. \u0c38\u0c4d\u0c35\u0c1a\u0c4d\u0c1b\u0c2e\u0c48\u0c28 \u0c30\u0c3e\u0c17\u0c3f \u0c28\u0c3e\u0c30\u0c3f\u0c02\u0c1c-\u0c0e\u0c30\u0c41\u0c2a\u0c41 \u0c30\u0c02\u0c17\u0c41\u0c32\u0c4b \u0c09\u0c02\u0c1f\u0c41\u0c02\u0c26\u0c3f \u0c2e\u0c30\u0c3f\u0c2f\u0c41 \u0c17\u0c3e\u0c32\u0c3f\u0c15\u0c3f \u0c17\u0c41\u0c30\u0c48\u0c28\u0c2a\u0c4d\u0c2a\u0c41\u0c21\u0c41 \u0c0e\u0c30\u0c41\u0c2a\u0c41 \u0c30\u0c02\u0c17\u0c41\u0c28\u0c41 \u0c2a\u0c4a\u0c02\u0c26\u0c41\u0c24\u0c41\u0c02\u0c26\u0c3f. \u0c2a\u0c42\u0c30\u0c3f\u0c02\u0c1a\u0c3f\u0c28 3d \u0c2e\u0c30\u0c3f\u0c2f\u0c41 \u0c38\u0c17\u0c02-\u0c16\u0c3e\u0c33\u0c40 4s \u0c05\u0c1f\u0c3e\u0c2e\u0c3f\u0c15\u0c4d \u0c37\u0c46\u0c32\u0c4d\u200c\u0c32 \u0c2e\u0c27\u0c4d\u0c2f \u0c0e\u0c32\u0c15\u0c4d\u0c1f\u0c4d\u0c30\u0c3e\u0c28\u0c3f\u0c15\u0c4d \u0c2a\u0c30\u0c3f\u0c35\u0c30\u0c4d\u0c24\u0c28\u0c3e\u0c32 \u0c28\u0c41\u0c02\u0c21\u0c3f \u0c30\u0c3e\u0c17\u0c3f \u0c2f\u0c4a\u0c15\u0c4d\u0c15 \u0c32\u0c15\u0c4d\u0c37\u0c23 \u0c30\u0c02\u0c17\u0c41 \u0c2b\u0c32\u0c3f\u0c24\u0c3e\u0c32\u0c41 - \u0c08 \u0c37\u0c46\u0c32\u0c4d\u200c\u0c32 \u0c2e\u0c27\u0c4d\u0c2f \u0c36\u0c15\u0c4d\u0c24\u0c3f \u0c35\u0c4d\u0c2f\u0c24\u0c4d\u0c2f\u0c3e\u0c38\u0c02 \u0c05\u0c26\u0c3f \u0c28\u0c3e\u0c30\u0c3f\u0c02\u0c1c \u0c15\u0c3e\u0c02\u0c24\u0c3f\u0c15\u0c3f \u0c05\u0c28\u0c41\u0c17\u0c41\u0c23\u0c02\u0c17\u0c3e \u0c09\u0c02\u0c1f\u0c41\u0c02\u0c26\u0c3f. \u0c05\u0c26\u0c47 \u0c35\u0c3f\u0c27\u0c3e\u0c28\u0c02 \u0c2c\u0c02\u0c17\u0c3e\u0c30\u0c02 \u0c2e\u0c30\u0c3f\u0c2f\u0c41 \u0c38\u0c40\u0c38\u0c3f\u0c2f\u0c02 \u0c2f\u0c4a\u0c15\u0c4d\u0c15 \u0c2a\u0c38\u0c41\u0c2a\u0c41 \u0c30\u0c02\u0c17\u0c41\u0c15\u0c41 \u0c15\u0c3e\u0c30\u0c23\u0c2e\u0c35\u0c41\u0c24\u0c41\u0c02\u0c26\u0c3f.",
    "question": "\u0c28\u0c3f\u0c02\u0c21\u0c3f\u0c28 3d \u0c2e\u0c30\u0c3f\u0c2f\u0c41 \u0c38\u0c17\u0c02-\u0c16\u0c3e\u0c33\u0c40 4s \u0c05\u0c1f\u0c3e\u0c2e\u0c3f\u0c15\u0c4d \u0c37\u0c46\u0c32\u0c4d\u200c\u0c32 \u0c2e\u0c27\u0c4d\u0c2f \u0c36\u0c15\u0c4d\u0c24\u0c3f \u0c35\u0c4d\u0c2f\u0c24\u0c4d\u0c2f\u0c3e\u0c38\u0c02 \u0c15\u0c3e\u0c02\u0c24\u0c3f \u0c2f\u0c4a\u0c15\u0c4d\u0c15 \u0c0f \u0c30\u0c02\u0c17\u0c41\u0c15\u0c41 \u0c05\u0c28\u0c41\u0c17\u0c41\u0c23\u0c02\u0c17\u0c3e \u0c09\u0c02\u0c1f\u0c41\u0c02\u0c26\u0c3f?",
    "answers.text": [
      "\u0c28\u0c3e\u0c30\u0c3f\u0c02\u0c1c \u0c15\u0c3e\u0c02\u0c24\u0c3f"
    ],
    "answers.answer_start": [
      376
    ],
    "feat_id": [
      "57098edded30961900e84311"
    ]
  }
]

Dataset Fields

The dataset has the following fields (also called "features"):

{
  "context": "Value(dtype='string', id=None)",
  "question": "Value(dtype='string', id=None)",
  "answers.text": "Sequence(feature=Value(dtype='string', id=None), length=-1, id=None)",
  "answers.answer_start": "Sequence(feature=Value(dtype='int32', id=None), length=-1, id=None)",
  "feat_id": "Sequence(feature=Value(dtype='string', id=None), length=-1, id=None)"
}

Dataset Splits

This dataset is split into a train and validation split. The split sizes are as follow:

Split name	Num samples
train	64549
valid	9277

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