Delete 2WikiMultihopQA

2WikiMultihopQA/2WikiMultihopQA.py

@@ -1,141 +0,0 @@
-# coding=utf-8
-# Copyright 2020 The TensorFlow Datasets Authors and the HuggingFace Datasets Authors.
-#
-# 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.
-
-"""
-Mirror of https://github.com/Alab-NII/2wikimultihop
-"""
-
-import json
-import datasets
-import pandas as pd
-
-_DESCRIPTION = """\
-Mirror of https://github.com/Alab-NII/2wikimultihop
-"""
-
-CITATION = """
-@inproceedings{xanh2020_2wikimultihop,
-    title = "Constructing A Multi-hop {QA} Dataset for Comprehensive Evaluation of Reasoning Steps",
-    author = "Ho, Xanh  and
-      Duong Nguyen, Anh-Khoa  and
-      Sugawara, Saku  and
-      Aizawa, Akiko",
-    booktitle = "Proceedings of the 28th International Conference on Computational Linguistics",
-    month = dec,
-    year = "2020",
-    address = "Barcelona, Spain (Online)",
-    publisher = "International Committee on Computational Linguistics",
-    url = "https://www.aclweb.org/anthology/2020.coling-main.580",
-    pages = "6609--6625",
-}
-"""
-
-DEV_URL = "https://huggingface.co/datasets/somebody-had-to-do-it/2WikiMultihopQA/resolve/main/dev.parquet?download=true"
-TRAIN_URL = "https://huggingface.co/datasets/somebody-had-to-do-it/2WikiMultihopQA/resolve/main/train.parquet?download=true"
-TEST_URL = "https://huggingface.co/datasets/somebody-had-to-do-it/2WikiMultihopQA/resolve/main/test.parquet?download=true"
-
-
-class Dataset2WikiMultihopQa(datasets.GeneratorBasedBuilder):
-    """Mirror of https://github.com/Alab-NII/2wikimultihop"""
-
-    VERSION = datasets.Version("1.0.0")
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {
-                    "_id": datasets.Value("string"),
-                    "type": datasets.Value("string"),
-                    "question": datasets.Value("string"),
-                    "context": datasets.features.Sequence(
-                        {
-                            "title": datasets.Value("string"),
-                            "content": datasets.features.Sequence(
-                                datasets.Value("string")
-                            ),
-                        }
-                    ),
-                    "supporting_facts": datasets.features.Sequence(
-                        {
-                            "title": datasets.Value("string"),
-                            "sent_id": datasets.Value("int32"),
-                        }
-                    ),
-                    "evidences": datasets.features.Sequence(
-                        {
-                            "fact": datasets.Value("string"),
-                            "relation": datasets.Value("string"),
-                            "entity": datasets.Value("string"),
-                        }
-                    ),
-                    "answer": datasets.Value("string"),
-                }
-            ),
-            supervised_keys=None,
-            homepage="https://github.com/Alab-NII/2wikimultihop",
-            citation=CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-
-        train_uri = dl_manager.download(TRAIN_URL)
-        dev_uri = dl_manager.download(DEV_URL)
-        test_uri = dl_manager.download(TEST_URL)
-
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN, gen_kwargs={"filepath": train_uri}
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split("dev"),
-                gen_kwargs={"filepath": dev_uri, "split": "dev"},
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={"filepath": test_uri},
-            ),
-        ]
-
-    def _generate_examples(self, filepath, *args, **kwargs):
-        """Yields examples from a Parquet file."""
-        # Read the Parquet file into a DataFrame
-        df = pd.read_parquet(filepath)
-
-        # Iterate over each row in the DataFrame
-        for idx, row in df.iterrows():
-            yield idx, {
-                "_id": row["_id"],
-                "type": row["type"],
-                "question": row["question"],
-                "context": [
-                    {"title": item[0], "content": item[1]}
-                    for item in json.loads(row["context"])
-                ],
-                "supporting_facts": [
-                    {"title": fact[0], "sent_id": fact[1]}
-                    for fact in json.loads(row["supporting_facts"])
-                ],
-                "evidences": [
-                    {
-                        "fact": evidence[0],
-                        "relation": evidence[1],
-                        "entity": evidence[2],
-                    }
-                    for evidence in json.loads(row["evidences"])
-                ],
-                "answer": row["answer"],
-            }

2WikiMultihopQA/README.md

@@ -1,13 +0,0 @@
----
-license: apache-2.0
-task_categories:
-- question-answering
-language:
-- en
-size_categories:
-- 100K<n<1M
----
-
-# 2WikiMultihopQA: A Dataset for Comprehensive Evaluation of Reasoning Steps
-
-Official mirror of <https://github.com/Alab-NII/2wikimultihop>

2WikiMultihopQA/convert_to_jsonl.py

@@ -1,11 +0,0 @@
-from pathlib import Path
-import pandas as pd
-
-file_names = ["./raw/dev.json", "./raw/test.json", "./raw/train.json"]
-for file_name in file_names:
-    # Read the JSON file into a DataFrame
-    df = pd.read_json(file_name)
-
-    # Convert the DataFrame to JSON Lines and write to a file_name
-    jsonl_path = "./raw/" + Path(file_name).stem + ".jsonl"
-    df.to_json(jsonl_path, orient="records", lines=True)

2WikiMultihopQA/convert_to_parquet.py

@@ -1,20 +0,0 @@
-from pathlib import Path
-import pandas as pd
-import json
-
-file_names = ["./raw/dev.jsonl", "./raw/test.jsonl", "./raw/train.jsonl"]
-for file_name in file_names:
-    df = pd.read_json(file_name, lines=True)
-
-    complex_columns = [
-        "context",
-        "supporting_facts",
-        "evidences",
-    ]
-    for col in complex_columns:
-        df[col] = df[col].apply(json.dumps)
-
-    parquet_file_path = Path(file_name).stem + ".parquet"
-    df.to_parquet(parquet_file_path)
-
-    print(f"Converted {file_name} to {parquet_file_path}")

2WikiMultihopQA/dev.parquet

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:c0d8b60b9026b728fb07ad74c5252a0f188f6942e8ba5c02df4dfa369502ea8d
-size 30056098

2WikiMultihopQA/test.parquet

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:1dc69c656c03837f12bb231e1adbd8a2dcdaaf632143a1ab9ebb98bd6452ede5
-size 28475341