Delete loading script

ctkfacts_nli.py

@@ -1,92 +0,0 @@
-import os
-import pathlib
-from typing import overload
-import datasets
-import json
-
-from datasets.info import DatasetInfo
-
-_VERSION = "0.0.6"
-
-_URL= "data/"
-
-_URLS = {
-    "train": _URL + "train.jsonl",
-    "validation": _URL + "validation.jsonl",
-    "test": _URL + "test.jsonl"
-}
-
-_DESCRIPTION = """\
-CtkFactsNLI is a NLI version of the Czech CTKFacts dataset
-"""
-
-_CITATION = """\
-@article{DBLP:journals/corr/abs-2201-11115,
-  author    = {Jan Drchal and
-               Herbert Ullrich and
-               Martin R{\'{y}}par and
-               Hana Vincourov{\'{a}} and
-               V{\'{a}}clav Moravec},
-  title     = {CsFEVER and CTKFacts: Czech Datasets for Fact Verification},
-  journal   = {CoRR},
-  volume    = {abs/2201.11115},
-  year      = {2022},
-  url       = {https://arxiv.org/abs/2201.11115},
-  eprinttype = {arXiv},
-  eprint    = {2201.11115},
-  timestamp = {Tue, 01 Feb 2022 14:59:01 +0100},
-  biburl    = {https://dblp.org/rec/journals/corr/abs-2201-11115.bib},
-  bibsource = {dblp computer science bibliography, https://dblp.org}
-}
-"""
-
-datasets.utils.version.Version
-class CtkfactsNli(datasets.GeneratorBasedBuilder):
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {
-                    "id": datasets.Value("int32"),
-                    "label": datasets.ClassLabel(names=["REFUTES", "NOT ENOUGH INFO", "SUPPORTS"]),
-                    # datasets.features.Sequence({"text": datasets.Value("string"),"answer_start": datasets.Value("int32"),})
-                    "evidence": datasets.Value("string"),
-                    "claim": datasets.Value("string"),
-                }
-            ),
-            # No default supervised_keys (as we have to pass both question
-            # and context as input).
-            supervised_keys=None,
-            version=_VERSION,
-            homepage="https://fcheck.fel.cvut.cz/dataset/",
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager: datasets.DownloadManager):
-        downloaded_files = dl_manager.download_and_extract(_URLS)
-
-        return [
-            datasets.SplitGenerator(datasets.Split.TRAIN, {
-                "filepath": downloaded_files["train"]
-            }),
-            datasets.SplitGenerator(datasets.Split.VALIDATION, {
-                "filepath": downloaded_files["validation"]
-            }),
-            datasets.SplitGenerator(datasets.Split.TEST, {
-                "filepath": downloaded_files["test"]
-            }),
-        ]
-
-    def _generate_examples(self, filepath):
-        """This function returns the examples in the raw (text) form."""
-        key = 0
-        with open(filepath, encoding="utf-8") as f:
-            for line in f:
-                datapoint = json.loads(line)
-                yield key, {
-                    "id": datapoint["id"],
-                    "evidence": " ".join(datapoint["evidence"]),
-                    "claim": datapoint["claim"],
-                    "label": datapoint["label"]
-                }
-                key += 1