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ko-lima.py

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+# 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 csv
+import json
+import os
+import datasets
+
+
+_CITATION = """\
+@InProceedings{huggingface:dataset,
+title = {Ko-LIMA: Korean LIMA Dataset},
+author={Hahn, Taeseung},
+year={2023}
+}
+"""
+_DESCRIPTION = """\
+A high-quality korean dataset for efficient instruction tuning.
+"""
+_HOMEPAGE = ""
+_LICENSE = ""
+_URLS = {
+    "plain": "lima_deepl_ko.zip",
+    "vicuna": "lima_deepl_ko_vicuna.zip",
+}
+
+
+class KoLima(datasets.GeneratorBasedBuilder):
+    """A high-quality korean dataset for efficient instruction tuning."""
+
+    VERSION = datasets.Version("1.0.0")
+
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(name="plain", version=VERSION, description="Korean LIMA dataset in a plain format"),
+        datasets.BuilderConfig(name="vicuna", version=VERSION, description="Korean LIMA dataset in Vicuna format"),
+    ]
+
+    DEFAULT_CONFIG_NAME = "plain"
+
+    def _info(self):
+        if self.config.name == "vicuna":
+            features = datasets.Features(
+                {
+                    'id': datasets.Value(dtype='string', id=None),
+                    'conversations': [
+                        {
+                            'from': datasets.Value(dtype='string', id=None),
+                            'value': datasets.Value(dtype='string', id=None)
+                        }
+                    ]
+                }
+            )
+        else:
+            features = datasets.Features(
+                {
+                    'conversations': datasets.Sequence(feature=datasets.Value(dtype='string', id=None), length=-1, id=None),
+                    'source': datasets.Value(dtype='string', id=None)
+                }
+            )
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=features,
+            homepage=_HOMEPAGE,
+            license=_LICENSE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        urls = _URLS[self.config.name]
+        data_dir = dl_manager.download_and_extract(urls)
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "filepath": os.path.join(data_dir, "train.jsonl"),
+                    "split": "train",
+                },
+            ),
+            # datasets.SplitGenerator(
+            #     name=datasets.Split.VALIDATION,
+            #     gen_kwargs={
+            #         "filepath": os.path.join(data_dir, "dev.jsonl"),
+            #         "split": "dev",
+            #     },
+            # ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={
+                    "filepath": os.path.join(data_dir, "test.jsonl"),
+                    "split": "test"
+                },
+            ),
+        ]
+
+    def _generate_examples(self, filepath, split):
+        with open(filepath, encoding="utf-8") as f:
+            for key, row in enumerate(f):
+                instance = json.loads(row)
+                if self.config.name == "vicuna":
+                    yield key, instance
+                else:
+                    yield key, instance

lima_deepl_ko.zip

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+oid sha256:7a2c7fb539fc66d0387e5fa9afc88ba705d8a0cb0bc18b02a4df45d2dfaff46d
+size 1154251

lima_deepl_ko_vicuna.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:799dd5ae4d5283f4f1558d4ba22923513ba47af188ace836855c0b2244ae2c1a
+size 1162689