Delete _scigen.py

_scigen.py

@@ -1,67 +0,0 @@
-"""Scigen: dataset for reasoning-aware data-to-text generation from scientific tables"""
-
-import json
-import datasets
-import glob
-import os
-
-_CITATION = """\
-@article{moosavi:2021:SciGen,
-  author    = {Nafise Sadat Moosavi, Andreas R{\"u}ckl{\'e}, Dan Roth, Iryna Gurevych},
-  title     = {Learning to Reason for Text Generation from Scientific Tables},
-  journal   = {arXiv preprint arXiv:2104.08296},
-  year      = {2021},
-  url       = {https://arxiv.org/abs/2104.08296}
-}
-"""
-_DESCRIPTION = """\
-SciGen is dataset for the task of reasoning-aware data-to-text generation consisting of tables from scientific articles and their corresponding descriptions.
-"""
-
-_URL = "https://github.com/UKPLab/SciGen"
-_LICENSE = "CC BY-NC-SA 4.0"
-
-class SciGen(datasets.GeneratorBasedBuilder):
-    VERSION = "1.0.0"
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features({
-                'paper': datasets.Value(dtype='string'),
-                'paper_id': datasets.Value(dtype='string'),
-                'table_caption': datasets.Value(dtype='string'),
-                'table_column_names': datasets.Value(dtype='large_string'),
-                'table_content_values': datasets.Value(dtype='large_string'),
-                'text' : datasets.Value(dtype='large_string'),
-            }),
-            supervised_keys=None,
-            homepage=_URL,
-            citation=_CITATION,
-            license=_LICENSE
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-        return [
-            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": "dataset", "split" : "train"}),
-            datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": "dataset", "split" : "dev"}),
-            datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": "dataset", "split" : "test"}),
-        ]
-
-    def _generate_examples(self, filepath, split):
-        data_dir = "development" if split == "dev" else split
-
-        if split in ["train", "dev"]:
-            file_path = os.path.join(filepath, data_dir, "medium", f"{split}.json")
-        else:
-            # there is also "test-Other.json", should be looked into
-            file_path = os.path.join(filepath, data_dir, f"test-CL.json")
-
-        with open(file_path) as f:
-            j = json.load(f)
-            for example_idx, entry in enumerate(list(j.values())):
-                yield example_idx, {key: str(value) for key, value in entry.items()}
-
-if __name__ == '__main__':
-    dataset = datasets.load_dataset(__file__)
-    dataset.push_to_hub("kasnerz/scigen")