init

super_tweet_eval.py

@@ -1,9 +1,5 @@
 """The SuperTweetEval benchmark."""
-
-
 import json
-import os
-
 import datasets
 
 
@@ -102,7 +98,7 @@ class SuperTweetEval(datasets.GeneratorBasedBuilder):
             description=_TWEET_TOPIC_DESCRIPTION,
             citation=_TWEET_TOPIC_CITATION,
             features=["text", "label_list", "id", "date"],
-            data_url="https://dl.fbaipublicfiles.com/glue/SuperTweetEval/data/v2/BoolQ.zip",
+            data_url="https://huggingface.co/datasets/cardiffnlp/super_tweet_eval/resolve/main/data/tweet_topic",
         ),
         SuperTweetEvalConfig(
             name="tweet_ner7",
@@ -142,87 +138,14 @@ class SuperTweetEval(datasets.GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager):
-        dl_dir = dl_manager.download_and_extract(self.config.data_url) or ""
-        task_name = _get_task_name_from_data_url(self.config.data_url)
-        dl_dir = os.path.join(dl_dir, task_name)
-        if self.config.name in ["axb", "axg"]:
-            return [
-                datasets.SplitGenerator(
-                    name=datasets.Split.TEST,
-                    gen_kwargs={
-                        "data_file": os.path.join(dl_dir, f"{task_name}.jsonl"),
-                        "split": datasets.Split.TEST,
-                    },
-                ),
-            ]
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    "data_file": os.path.join(dl_dir, "train.jsonl"),
-                    "split": datasets.Split.TRAIN,
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
-                gen_kwargs={
-                    "data_file": os.path.join(dl_dir, "val.jsonl"),
-                    "split": datasets.Split.VALIDATION,
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={
-                    "data_file": os.path.join(dl_dir, "test.jsonl"),
-                    "split": datasets.Split.TEST,
-                },
-            ),
-        ]
-
-    def _generate_examples(self, data_file, split):
-        with open(data_file, encoding="utf-8") as f:
-            for line in f:
-                row = json.loads(line)
-
-                if self.config.name == "multirc":
-                    paragraph = row["passage"]
-                    for question in paragraph["questions"]:
-                        for answer in question["answers"]:
-                            label = answer.get("label")
-                            key = "%s_%s_%s" % (row["idx"], question["idx"], answer["idx"])
-                            yield key, {
-                                "paragraph": paragraph["text"],
-                                "question": question["question"],
-                                "answer": answer["text"],
-                                "label": -1 if label is None else _cast_label(bool(label)),
-                                "idx": {"paragraph": row["idx"], "question": question["idx"], "answer": answer["idx"]},
-                            }
-                elif self.config.name == "record":
-                    passage = row["passage"]
-                    entity_texts, entity_spans = _get_record_entities(passage)
-                    for qa in row["qas"]:
-                        yield qa["idx"], {
-                            "passage": passage["text"],
-                            "query": qa["query"],
-                            "entities": entity_texts,
-                            "entity_spans": entity_spans,
-                            "answers": _get_record_answers(qa),
-                            "idx": {"passage": row["idx"], "query": qa["idx"]},
-                        }
-                else:
-                    if self.config.name.startswith("wsc"):
-                        row.update(row["target"])
-                    example = {feature: row[feature] for feature in self.config.features}
-                    if self.config.name == "wsc.fixed":
-                        example = _fix_wst(example)
-                    example["idx"] = row["idx"]
-
-                    if "label" in row:
-                        if self.config.name == "copa":
-                            example["label"] = "choice2" if row["label"] else "choice1"
-                        else:
-                            example["label"] = _cast_label(row["label"])
-                    else:
-                        assert split == datasets.Split.TEST, row
-                        example["label"] = -1
-                    yield example["idx"], example
+        downloaded_file = dl_manager.download_and_extract({s: f"{self.config.data_url}/{s}.jsonl" for s in ["train", "test", "validation"]})
+        return [datasets.SplitGenerator(name=s, gen_kwargs={"filepath": downloaded_file[s]}) for s in ["train", "test", "validation"]]
+
+    def _generate_examples(self, filepath):
+        _key = 0
+        with open(filepath, encoding="utf-8") as f:
+            _list = [i for i in f.read().split('\n') if len(i) > 0]
+            for i in _list:
+                data = json.loads(i)
+                yield _key, data
+                _key += 1