Delete qrel.py

qrel.py

@@ -1,75 +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 json
-import lzma
-import os
-
-import datasets
-try:
-    import lzma as xz
-except ImportError:
-    import pylzma as xz
-
-
-_URLS = {
-    "full": "https://huggingface.co/datasets/Stern5497/qrel/resolve/main",
-}
-
-
-class Qrel(datasets.GeneratorBasedBuilder):
-    """."""
-
-
-    BUILDER_CONFIGS = [
-        datasets.BuilderConfig(name="full", description="This part covers the whole dataset"),
-    ]
-
-    DEFAULT_CONFIG_NAME = "full"  # It's not mandatory to have a default configuration. Just use one if it make sense.
-
-    def _info(self):
-        if self.config.name == "full": 
-            features = datasets.Features(
-                {
-                    "id": datasets.Value("string"),
-                    "corp_id": datasets.Value("string"),
-                    "match": datasets.Value("string"),
-                    "language": datasets.Value("string"),
-                }
-            )
-        return datasets.DatasetInfo(
-            description="",
-            features=features,  # Here we define them above because they are different between the two configurations
-        )
-
-    def _split_generators(self, dl_manager):
-        urls = _URLS[self.config.name]
-        filepath = dl_manager.download(os.path.join(urls, "qrels_all.jsonl"))
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                # These kwargs will be passed to _generate_examples
-                gen_kwargs={
-                    "filepath": filepath,
-                    "split": "train",
-                },
-            )
-        ]
-
-    # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
-    def _generate_examples(self, filepath, split):
-        with open(filepath, encoding="utf-8") as f:
-            for id_, row in enumerate(f):
-                data = json.loads(row)
-                yield id_, data