Data added

csfever_nli.py

@@ -0,0 +1,76 @@
+import os
+import pathlib
+from typing import overload
+import datasets
+import json
+
+from datasets.info import DatasetInfo
+
+_VERSION = "0.0.1"
+
+_URL= "data/"
+
+_URLS = {
+    "train": _URL + "train.jsonl",
+    "validation": _URL + "paper_dev.jsonl",
+    "test": _URL + "paper_test.jsonl"
+}
+
+_DESCRIPTION = """\
+CsfeverNLI is a NLI version of the Czech Csfever dataset
+"""
+
+_CITATION = """\
+todo
+"""
+
+datasets.utils.version.Version
+class CsfeverNli(datasets.GeneratorBasedBuilder):
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "id": datasets.Value("string"),
+                    "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["cid"],
+                    "evidence": datapoint["context"],
+                    "claim": datapoint["query"],
+                    "label": datapoint["label"]
+                }
+                key += 1