The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
Error code: DatasetGenerationError
Exception: UnicodeDecodeError
Message: 'utf-8' codec can't decode byte 0x92 in position 24969: invalid start byte
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/.venv/lib/python3.9/site-packages/datasets/packaged_modules/text/text.py", line 73, in _generate_tables
batch = f.read(self.config.chunksize)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 827, in read_with_retries
out = read(*args, **kwargs)
File "/usr/local/lib/python3.9/codecs.py", line 322, in decode
(result, consumed) = self._buffer_decode(data, self.errors, final)
UnicodeDecodeError: 'utf-8' codec can't decode byte 0x92 in position 24969: invalid start byte
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 1436, 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 1053, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 925, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1001, 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 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 datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
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Natural Language Query-Driven Recommendation Datasets
We provide three natural language query-driven recommendation datasets designed to evaluate systems under challenging conditions where
user intent is implicitly expressed through broad or indirect queries
items are described through multiple diverse textual sources.
Each dataset contains 100 natural language queries, ground truth relevance labels, and original corpus of items for reference.
Citation
If you use this dataset in your research, please cite the following paper:
@article{wen2025simple,
title={A Simple but Effective Elaborative Query Reformulation Approach for Natural Language Recommendation},
author={Wen, Qianfeng and Liu, Yifan and Cui, Justin and Zhang, Joshua and Korikov, Anton and Saad, George-Kirollos and Sanner, Scott},
journal={arXiv preprint arXiv:2510.02656},
year={2025}
}
Datasets
| Dataset | Cities/Categories | Corpus Size | Queries |
|---|---|---|---|
| Yelp_Restaurant | New Orleans (nor), Philadelphia (phi) | 1,152 restaurants (nor: 515, phi: 637) | 100 |
| TripAdvisor_Hotel | New York City, Chicago, London, Montreal | 586 hotels (nyc: 182, chicago: 74, london: 266, montreal: 64) | 100 |
| Traveldest | / | 775 cities | 100 |
Yelp_Restaurant
A dataset of restaurant recommendations based on Yelp reviews:
- 100 natural language queries in
queries_restaurant.txt - Ground truth files:
- New Orleans:
gt_nor.json - Philadelphia:
gt_phi.json
- New Orleans:
- Corpus of 1,152 restaurants organized by city (nor, phi)
TripAdvisor_Hotel
A dataset of hotel recommendations based on TripAdvisor reviews:
- 100 natural language queries in
queries_hotel.txt - Ground truth files for each city:
- New York City:
gt_nyc.json - Chicago:
gt_chicago.json - London:
gt_london.json - Montreal:
gt_montreal.json
- New York City:
- Corpus of 586 hotels organized by city (nyc, chicago, london, montreal)
Traveldest
A dataset of travel destination recommendations based on WikiVoyage pages:
- 100 natural language queries in
queries_travel.txt - Ground truth for various cities in
gt_cities.json - Corpus of 775 cities with detailed descriptions from WikiVoyage
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