Initial commit

create_miracl_japanese_small.py

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+import pandas as pd
+import json
+from tqdm import tqdm
+from datasets import load_dataset
+
+DEV_QREL_FILEPATH = "./qrels.miracl-v1.0-ja-dev.tsv"
+OUTPUT_FILEPATH = "./miracl-japanese-small-docs.jsonl"
+
+def extract_doc_ids(filepath):
+    dev_qrel = pd.read_csv(filepath, delimiter='\t',
+            names=['query_id', 'ph', 'doc_pas_id', 'rel'])
+    doc_ids = set([int(dp_id.split('#')[0]) for dp_id in dev_qrel.doc_pas_id])
+    return doc_ids
+
+
+if __name__ == '__main__':
+    dev_doc_ids = extract_doc_ids(DEV_QREL_FILEPATH)
+    doc_ids = dev_doc_ids
+    print("# of docids in dev", len(dev_doc_ids))
+
+    new_dataset = []
+    seen_doc_ids = set()
+    dataset = load_dataset("miracl/miracl-corpus", "ja")
+    for data in tqdm(dataset['train']):
+        docid = int(data["docid"].split("#")[0])
+        if docid in doc_ids:
+            new_dataset.append(data)
+    with open(OUTPUT_FILEPATH, 'w', encoding='utf-8') as f:
+        for data in new_dataset:
+            f.write(json.dumps(data) + '\n')

miracl-japanese-small-corpus.py

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+# coding=utf-8
+# 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 datasets
+
+_CITATION = '''
+'''
+
+_DESCRIPTION = 'dataset load script for MIRACL Japanese Small Corpus'
+
+_DATASET_URLS = {
+    'train': 'https://huggingface.co/datasets/mpkato/miracl-japanese-small-corpus/resolve/main/miracl-japanese-small-docs.jsonl.gz'
+}
+
+
+class MIRACLJapaneseSmallCorpus(datasets.GeneratorBasedBuilder):
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(
+            version=datasets.Version('1.0.0'),
+            description=f'MIRACL Japanese Small dataset.'
+        )
+    ]
+
+    def _info(self):
+        features = datasets.Features({
+            'docid': datasets.Value('string'), 
+            'title': datasets.Value('string'),
+            'text': datasets.Value('string'),
+        })
+
+        return datasets.DatasetInfo(
+            # This is the description that will appear on the datasets page.
+            description=_DESCRIPTION,
+            # This defines the different columns of the dataset and their types
+            features=features,  # Here we define them above because they are different between the two configurations
+            supervised_keys=None,
+            # Homepage of the dataset for documentation
+            homepage='',
+            # License for the dataset if available
+            license='',
+            # Citation for the dataset
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        downloaded_files = dl_manager.download_and_extract(_DATASET_URLS)
+
+        splits = [
+            datasets.SplitGenerator(
+                name='train',
+                gen_kwargs={
+                    'filepath': downloaded_files['train'],
+                },
+            ),
+        ]
+        return splits
+
+    def _generate_examples(self, filepath):
+        with open(filepath, encoding="utf-8") as f:
+            for line in f:
+                data = json.loads(line)
+                yield data['docid'], data

miracl-japanese-small-docs.jsonl.gz

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+version https://git-lfs.github.com/spec/v1
+oid sha256:53fd4b33ac6c1b1a7ab9d7af0c2da9f91aa7af0760da1724725184468bc49846
+size 32917772