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The split features (columns) cannot be extracted.
Error code:   FeaturesError
Exception:    AttributeError
Message:      'list' object has no attribute 'keys'
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/", line 109, in _generate_tables
                  pa_table = paj.read_json(
                File "pyarrow/_json.pyx", line 246, in pyarrow._json.read_json
                File "pyarrow/error.pxi", line 143, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 99, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: JSON parse error: Column() changed from object to array in row 0
              During handling of the above exception, another exception occurred:
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/responses/", line 327, in get_first_rows_response
                  iterable_dataset = iterable_dataset._resolve_features()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/", line 1261, in _resolve_features
                  features = _infer_features_from_batch(self._head())
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/", line 686, in _head
                  return _examples_to_batch([x for key, x in islice(self._iter(), n)])
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/", line 686, in <listcomp>
                  return _examples_to_batch([x for key, x in islice(self._iter(), n)])
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/", line 708, in _iter
                  yield from ex_iterable
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/", line 112, in __iter__
                  yield from self.generate_examples_fn(**self.kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/", line 651, in wrapper
                  for key, table in generate_tables_fn(**kwargs):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/", line 137, in _generate_tables
                  f"This JSON file contain the following fields: {str(list(dataset.keys()))}. "
              AttributeError: 'list' object has no attribute 'keys'

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Dataset Card for QReCC: Question Rewriting in Conversational Context

Dataset Summary

QReCC (Question Rewriting in Conversational Context) is an end-to-end open-domain question answering dataset comprising of 14K conversations with 81K question-answer pairs. The goal of this dataset is to provide a challenging benchmark for end-to-end conversational question answering that includes the individual subtasks of question rewriting, passage retrieval and reading comprehension.

The task in QReCC is to find answers to conversational questions within a collection of 10M web pages split into 54M passages. Answers to questions in the same conversation may be distributed across several web pages.

The passage collection should be downloaded from Zenodo (

Supported Tasks and Leaderboards




Dataset Structure

Data Instances

An example from the data set looks as follows:

  "Context": [
    "What are the pros and cons of electric cars?",
    "Some pros are: They're easier on the environment. Electricity is cheaper than gasoline. Maintenance is less frequent and less expensive. They're very quiet. You'll get tax credits. They can shorten your commute time. Some cons are: Most EVs have pretty short ranges. Recharging can take a while."
  "Question": "Tell me more about Tesla",
  "Rewrite": "Tell me more about Tesla the car company.",
  "Answer": "Tesla Inc. is an American automotive and energy company based in Palo Alto, California. The company specializes in electric car manufacturing and, through its SolarCity subsidiary, solar panel manufacturing.",
  "Answer_URL": ",_Inc.",
  "Conversation_no": 74,
  "Turn_no": 2,
  "Conversation_source": "trec"

Data Splits

  • train: 63501
  • test: 16451

Dataset Creation

Source Data

  • QuAC
  • Natural Questions

Additional Information

Licensing Information

CC BY-SA 3.0

Citation Information

@inproceedings{ qrecc,
    title={Open-Domain Question Answering Goes Conversational via Question Rewriting},
    author={Anantha, Raviteja and Vakulenko, Svitlana and Tu, Zhucheng and Longpre, Shayne and Pulman, Stephen and Chappidi, Srinivas},
    booktitle={ NAACL },
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