Delete LITM.py

LITM.py

@@ -1,92 +0,0 @@
-# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-import os
-
-import datasets
-import json
-
-
-_DESCRIPTION = """\
-"""
-
-_HOMEPAGE = "https://github.com/bzantium/LITM"
-
-
-_URL = r"https://huggingface.co/datasets/bzantium/LITM/resolve/main/data.zip"
-
-task_list = [
-    "kv75",
-    "kv140",
-    "kv300",
-    "qa10",
-    "qa20",
-    "qa30",
-]
-
-
-class LITMConfig(datasets.BuilderConfig):
-    def __init__(self, **kwargs):
-        super().__init__(version=datasets.Version("1.0.0"), **kwargs)
-
-
-class LITM(datasets.GeneratorBasedBuilder):
-    BUILDER_CONFIGS = [
-        LITMConfig(
-            name=task_name,
-        )
-        for task_name in task_list
-    ]
-
-    def _info(self):
-        features = datasets.Features(
-            {
-                "context": [[datasets.Value("string")]] if self.config.name.startswith("kv") else [datasets.Value("string")],
-                "query": datasets.Value("string"), 
-                "answers": [datasets.Value("string")], 
-                "gold_index": datasets.Value("int32"),
-            }
-        )
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=features,
-            homepage=_HOMEPAGE,
-        )
-
-    def _split_generators(self, dl_manager):
-        data_dir = dl_manager.download_and_extract(_URL)
-        task_name = self.config.name
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={
-                    "filepath": os.path.join(
-                        data_dir, "data", f"{task_name}.jsonl"
-                    ),
-                },
-            )
-        ]
-
-    def _generate_examples(self, filepath):
-        with open(filepath, encoding="utf-8") as f:
-            for idx, line in enumerate(f):
-                key = f"{self.config.name}-{idx}"
-                item = json.loads(line)
-                if not isinstance(item['answers'], list):
-                    item['answers'] = [item['answers']]
-                yield key, {
-                    "context": item["context"],
-                    "query": item["query"],
-                    "answers": item["answers"],
-                    "gold_index": item["gold_index"],
-                }