The dataset viewer is not available for this split.
Error code: FeaturesError
Exception: ValueError
Message: Not able to read records in the JSON file at hf://datasets/dreamerdeo/multispider@8e159f59bf5ba1f4e89977cece36402f84925405/dataset/spider/database/train_station/examples_de.json.
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 240, in compute_first_rows_from_streaming_response
iterable_dataset = iterable_dataset._resolve_features()
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2216, in _resolve_features
features = _infer_features_from_batch(self.with_format(None)._head())
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1239, in _head
return _examples_to_batch(list(self.take(n)))
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1389, in __iter__
for key, example in ex_iterable:
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1044, in __iter__
yield from islice(self.ex_iterable, self.n)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 282, in __iter__
for key, pa_table in self.generate_tables_fn(**self.kwargs):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 165, in _generate_tables
raise ValueError(f"Not able to read records in the JSON file at {file}.") from None
ValueError: Not able to read records in the JSON file at hf://datasets/dreamerdeo/multispider@8e159f59bf5ba1f4e89977cece36402f84925405/dataset/spider/database/train_station/examples_de.json.Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
MultiSpider: Towards Benchmarking Multilingual Text-to-SQL Semantic Parsing
In this work, we present MultiSpider, a multilingual text-to-SQL dataset which covers seven languages (English, German, French, Spanish, Japanese, Chinese, and Vietnamese). Find more details on paper and code.
Please be aware that the MultiSpider dataset is available in two versions: with_English_value and with_original_value. Our reported results are based on the with_English_value version to circumvent any discrepancies between the entities in the questions and the values in the database.
The with_original_value version is a byproduct of the dataset creation process, which may be of interest for more in-depth research on this localized dataset.
with_English_value: Führen Sie die Namen der Sängerinnen und Sänger auf, deren Staatsbürgerschaft nicht „France“ lautet.
with_original_value: Führen Sie die Namen der Sängerinnen und Sänger auf, deren Staatsbürgerschaft nicht "Frankreich" lautet.
Results
| Model | EN | DE | ES | FR | JA | ZH | VI |
|---|---|---|---|---|---|---|---|
| Paper Report | 68.8 | 64.8 | 67.4 | 65.3 | 60.2 | 66.1 | 67.1 |
| Released Model | 69.5 | 65.1 | 68.1 | 66.7 | 60.9 | 67.4 | 69.1 |
Citation
If you use our dataset or codebase, please cite our paper:
@inproceedings{Dou2022MultiSpiderTB,
title={MultiSpider: Towards Benchmarking Multilingual Text-to-SQL Semantic Parsing},
author={Longxu Dou and Yan Gao and Mingyang Pan and Dingzirui Wang and Wanxiang Che and Dechen Zhan and Jian-Guang Lou},
booktitle={AAAI Conference on Artificial Intelligence},
year={2023},
url={https://ojs.aaai.org/index.php/AAAI/article/view/26499/26271}
}
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