Removed loading script

lc_quad2-sparqltotext.py

@@ -1,127 +0,0 @@
-import os
-import zipfile
-import json
-import base64
-
-import datasets
-
-try:
-    import gitlab
-except ImportError:
-    print("ERROR: To be able to retrieve this dataset you need to install the `python-gitlab` package")
-
-_CITATION = """\
-    @inproceedings{lecorve2022sparql2text,
-        title={Coqar: Question rewriting on coqa},
-        author={Lecorv\'e, Gw\'enol\'e and Veyret, Morgan and Brabant, Quentin and Rojas-Barahona, Lina M.},
-        journal={Proceedings of the Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the International Joint Conference on Natural Language Processing (AACL-IJCNLP)},
-        year={2022}
-    }
-"""
-
-_HOMEPAGE = ""
-
-_URLS = {
-    "train": "json/train.json",
-    "valid": "json/valid.json",
-    "test": "json/test.json"
-}
-
-_DESCRIPTION = """\
-Special version of LCQuAD-2.0 for the SPARQL-to-Text task
-"""
-
-
-class LCQuAD20_SPARQL2Text(datasets.GeneratorBasedBuilder):
-    """
-    LCQuAD_2.0-SPARQL2Text: Special version of LCQuAD-2.0 for the SPARQL-to-Text task
-    """
-
-    VERSION = datasets.Version("1.0.0")
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            # This is the description that will appear on the datasets page.
-            description=_DESCRIPTION,
-            # datasets.features.FeatureConnectors
-            features=datasets.Features(
-                {
-                    "uid": datasets.Value('int32'),
-                    "NNQT_question": datasets.Value('string'),
-                    "paraphrased_question": datasets.Value('string'),
-                    "question": datasets.Value('string'),
-                    "simplified_query": datasets.Value('string'),
-                    "sparql_dbpedia18": datasets.Value('string'),
-                    "sparql_wikidata": datasets.Value('string'),
-                    "answer": [datasets.Value("string")],
-                    "solved_answer": [datasets.Value("string")],
-                    "subgraph": datasets.Value('string'),
-                    "template": datasets.Value('string'),
-                    "template_id": datasets.Value('string'),
-                    "template_index": datasets.Value('int32')
-                }
-            ),
-            # If there's a common (input, target) tuple from the features,
-            # specify them here. They'll be used if as_supervised=True in
-            # builder.as_dataset
-            supervised_keys=("simplified_query", "question"),
-            # Homepage of the dataset for documentation
-            homepage=_HOMEPAGE,
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-        # Downloads the data and defines the splits
-        # dl_manager is a datasets.download.DownloadManager that can be used to
-        # download and extract URLs
-        paths = dl_manager.download_and_extract(_URLS)
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={"filepath": dl_manager.extract(paths['train']),
-                            "split": "train"}
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
-                gen_kwargs={"filepath": dl_manager.extract(paths['valid']),
-                            "split": "valid"}
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={"filepath": dl_manager.extract(paths['test']),
-                            "split": "test"}
-            )
-        ]
-        
-
-    def _generate_examples(self, filepath, split):
-        """Yields examples."""
-        
-        def transform_sample(original_sample):
-            transformed_sample = {
-                    "uid": -1,
-                    "NNQT_question": "",
-                    "paraphrased_question": "",
-                    "question":  "",
-                    "simplified_query": "",
-                    "sparql_dbpedia18": "",
-                    "sparql_wikidata": "",
-                    "answer": [],
-                    "solved_answer": [],
-                    "subgraph": "",
-                    "template": "",
-                    "template_id": "",
-                    "template_index": -1
-            }
-            transformed_sample.update(original_sample)
-            
-            return transformed_sample
-        
-        # Yields (key, example) tuples from the dataset
-        with open(filepath,'r') as f:
-            data = json.load(f)
-            key = 0
-            for it in data:
-                yield key, transform_sample(it)
-                key += 1