Create JEDHRI.py

JEDHRI.py

@@ -0,0 +1,148 @@
+# 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.
+"""Japanese Expressions Dataset from Human Rights Infringement on Internet"""
+
+
+import json
+
+import datasets as ds
+
+
+# Find for instance the citation on arxiv or on the dataset repo/website
+_CITATION = """\
+@dataset{hisada_shohei_2023_7960519,
+  author       = {HISADA, Shohei},
+  title        = {{Japanese Expressions Dataset from Human Rights 
+                   Infringement on Internet}},
+  month        = jun,
+  year         = 2023,
+  publisher    = {Zenodo},
+  version      = {0.2},
+  doi          = {10.5281/zenodo.7960519},
+  url          = {https://doi.org/10.5281/zenodo.7960519}
+}
+"""
+
+# You can copy an official description
+_DESCRIPTION = """\
+Japanese Expressions Dataset from Human Rights Infringement on Internet
+"""
+
+_HOMEPAGE = "https://zenodo.org/record/7960519"
+
+_LICENSE = "CC-BY-4.0"
+
+# The HuggingFace Datasets library doesn't host the datasets but only points to the original files.
+# This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
+_URLS = {
+    "v0.2": "https://zenodo.org/record/7960519/files/Expressions_Infringement_human_rights_v02.jsonl"
+}
+
+_FEATURE_MAP = {
+    "1: Text in Dispute": "text",
+    "2: Context Utilized in Adjudication": "context",
+    "3-1a: The types of Allegedly Infringed Right 1": "right_type_1",
+    "3-1b: Judgement on the Infringement Allegation 1": "judgement_1",
+    "3-2a: The types of Allegedly Infringed Right 1": "right_type_2",
+    "3-2b: Judgement on the Infringement Allegation 2": "judgement_2",
+    "5-3: Bibliography": "bibliography",
+    "5-1: Case Number": "case_number",
+    "5-2: Case Name": "case_name",
+    "5-4: Article Number": "article_number",
+    "5-5: Online Platform": "platform",
+}
+
+
+class JEDHRIDataset(ds.GeneratorBasedBuilder):
+    """Japanese Expressions Dataset from Human Rights Infringement on Internet."""
+
+    VERSION = ds.Version("v0.2")
+
+    BUILDER_CONFIGS = [
+        ds.BuilderConfig(
+            name="v0.2",
+            version=VERSION,
+        ),
+    ]
+
+    DEFAULT_CONFIG_NAME = "v0.2"
+
+    def _info(self):
+        features = ds.Features(
+            {
+                "text": ds.Value("string"),
+                "context": ds.Value("string"),
+                "platform": ds.Value("string"),
+                "right_type_1": ds.Value("string"),
+                "judgement_1": ds.Value("bool"),
+                "right_type_2": ds.Value("string"),
+                "judgement_2": ds.Value("bool"),
+                "bibliography": ds.Sequence(ds.Value("string")),
+                "case_number": ds.Value("string"),
+                "case_name": ds.Value("string"),
+                "article_number": ds.Value("string"),
+            }
+        )
+        return ds.DatasetInfo(
+            description=_DESCRIPTION,
+            features=features,
+            homepage=_HOMEPAGE,
+            license=_LICENSE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        url = _URLS[self.config.name]
+
+        if type(url) is not str:
+            raise ValueError("url must be a string")
+
+        data_dir = dl_manager.download(url)
+
+        return [
+            ds.SplitGenerator(
+                name=ds.Split.TRAIN,
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={
+                    "filepath": data_dir,
+                    "split": "train",
+                },
+            ),
+        ]
+
+    def _generate_examples(self, filepath, split):
+        # read json for each line
+        with open(filepath, encoding="utf-8") as f:
+            for id_, row in enumerate(f):
+                data = json.loads(row)
+                # rename keys
+                data = {v: data[k] for k, v in _FEATURE_MAP.items()}
+
+                for key in ["right_type_1", "right_type_2"]:
+                    if data[key] == "":
+                        data[key] = None
+
+                for key in ["judgement_1", "judgement_2"]:
+                    if data[key] == "":
+                        data[key] = None
+                    elif data[key] == "0":
+                        data[key] = False
+                    elif data[key] == "1":
+                        data[key] = True
+
+                data["bibliography"] = [
+                    x for x in str(data["bibliography"]).split("\n") if x != ""
+                ]
+
+                yield id_, data