Datasets:
Tasks:
Text Retrieval
Modalities:
Text
Formats:
json
Sub-tasks:
document-retrieval
Size:
< 1K
Tags:
text-retrieval
Dataset Viewer
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
RTEB_German1_q_0: struct<RTEB_German1_d_0: int64>
child 0, RTEB_German1_d_0: int64
RTEB_German1_q_1: struct<RTEB_German1_d_1: int64>
child 0, RTEB_German1_d_1: int64
RTEB_German1_q_2: struct<RTEB_German1_d_2: int64>
child 0, RTEB_German1_d_2: int64
RTEB_German1_q_3: struct<RTEB_German1_d_3: int64>
child 0, RTEB_German1_d_3: int64
RTEB_German1_q_4: struct<RTEB_German1_d_4: int64>
child 0, RTEB_German1_d_4: int64
query-id: null
corpus-id: null
score: null
to
{'query-id': Value('string'), 'corpus-id': Value('string'), 'score': Value('float64')}
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 2361, in __iter__
for key, example in ex_iterable:
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1882, 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 1914, 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 2192, in cast_table_to_features
raise CastError(
datasets.table.CastError: Couldn't cast
RTEB_German1_q_0: struct<RTEB_German1_d_0: int64>
child 0, RTEB_German1_d_0: int64
RTEB_German1_q_1: struct<RTEB_German1_d_1: int64>
child 0, RTEB_German1_d_1: int64
RTEB_German1_q_2: struct<RTEB_German1_d_2: int64>
child 0, RTEB_German1_d_2: int64
RTEB_German1_q_3: struct<RTEB_German1_d_3: int64>
child 0, RTEB_German1_d_3: int64
RTEB_German1_q_4: struct<RTEB_German1_d_4: int64>
child 0, RTEB_German1_d_4: int64
query-id: null
corpus-id: null
score: null
to
{'query-id': Value('string'), 'corpus-id': Value('string'), 'score': Value('float64')}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
This dataset is a dialogue summarization dataset derived from multiple public corpora, which have cleaned and preprocessed into a unified format. Each dialogue has been manually summarized and labeled with topics by annotators, ensuring high-quality and clean data. Dialog summaries are used as queries, while full dialogues are used as documents.
Usage
import datasets
# Download the dataset
queries = datasets.load_dataset("embedding-benchmark/DS1000", "queries")
documents = datasets.load_dataset("embedding-benchmark/DS1000", "corpus")
pair_labels = datasets.load_dataset("embedding-benchmark/DS1000", "default")
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