Update parquet files

dwy100k-d-w.py

@@ -1,176 +0,0 @@
-import datasets
-import os
-import pickle
-import json
-
-class Dwy100kDWConfig(datasets.BuilderConfig):
-
-    def __init__(self, features, data_url, citation, url, label_classes=("False", "True"), **kwargs):
-        super(Dwy100kDWConfig, self).__init__(version=datasets.Version("0.0.1"), **kwargs)
-        self.features = features
-        self.label_classes = label_classes
-        self.data_url = data_url
-        self.citation = citation
-        self.url = url
-
-
-class Dwy100kDW(datasets.GeneratorBasedBuilder):
-
-    BUILDER_CONFIGS = [
-        Dwy100kDWConfig(
-            name="source",
-            features=["column1", "column2", "column3"],
-            citation="TODO",
-            url="TODO",
-            data_url="https://huggingface.co/datasets/matchbench/dwy100k-d-w/resolve/main/dwy-dbp-wd-100k.zip"
-        ),
-        Dwy100kDWConfig(
-            name="target",
-            features=["column1", "column2", "column3"],
-            citation="TODO",
-            url="TODO",
-            data_url="https://huggingface.co/datasets/matchbench/dwy100k-d-w/resolve/main/dwy-dbp-wd-100k.zip"
-        ),
-        Dwy100kDWConfig(
-            name="pairs",
-            features=["left_id", "right_id"],
-            citation="TODO",
-            url="TODO",
-            data_url="https://huggingface.co/datasets/matchbench/dwy100k-d-w/resolve/main/dwy-dbp-wd-100k.zip"
-        ),
-    ]
-
-    def _info(self):
-        if self.config.name=="source":
-            features = {feature: datasets.Value("string") for feature in self.config.features}
-        elif self.config.name=="target":
-            features = {feature: datasets.Value("string") for feature in self.config.features}
-        elif self.config.name=="pairs":
-            features = {feature: datasets.Value("string") for feature in self.config.features}
-        
-        return datasets.DatasetInfo(
-            features=datasets.Features(features)
-        )
-
-    def _split_generators(self, dl_manager):
-        dl_dir = dl_manager.download_and_extract(self.config.data_url) or ""
-        #task_name = _get_task_name_from_data_url(self.config.data_url)
-        #dl_dir = os.path.join(dl_dir, task_name)
-        if self.config.name == "source":
-            return [
-            datasets.SplitGenerator(
-                name="ent_ids",
-                gen_kwargs={
-                    "data_file": os.path.join(dl_dir, "ent_ids_1"),
-                    "split": "ent_ids",
-                },
-            ),
-            datasets.SplitGenerator(
-                name="rel_triples_id",
-                gen_kwargs={
-                    "data_file": os.path.join(dl_dir, "triples_1"),
-                    "split": "rel_triples_id",
-                },
-            ),
-            ]
-        elif self.config.name == "target":
-            return [
-            datasets.SplitGenerator(
-                name="ent_ids",
-                gen_kwargs={
-                    "data_file": os.path.join(dl_dir, "ent_ids_2"),
-                    "split": "ent_ids",
-                },
-            ),
-            datasets.SplitGenerator(
-                name="rel_triples_id",
-                gen_kwargs={
-                    "data_file": os.path.join(dl_dir, "triples_2"),
-                    "split": "rel_triples_id",
-                },
-            )
-            ]
-        elif self.config.name == "pairs":
-            return [
-            datasets.SplitGenerator(
-                name="train",
-                gen_kwargs={
-                    "data_file": os.path.join(dl_dir, "train_ent_ids"),
-                    "split": "train",
-                },
-            ),
-            datasets.SplitGenerator(
-                name="valid",
-                gen_kwargs={
-                    "data_file": os.path.join(dl_dir, "valid_ent_ids"),
-                    "split": "valid",
-                },
-            ),
-            datasets.SplitGenerator(
-                name="test",
-                gen_kwargs={
-                    "data_file": os.path.join(dl_dir, "ref_ent_ids"),
-                    "split": "test",
-                },
-            ),
-            datasets.SplitGenerator(
-                name="sup",
-                gen_kwargs={
-                    "data_file": os.path.join(dl_dir, "sup_ent_ids"),
-                    "split": "sup",
-                },
-            ),
-            datasets.SplitGenerator(
-                name="ref",
-                gen_kwargs={
-                    "data_file": os.path.join(dl_dir, "ref_ent_ids"),
-                    "split": "ref",
-                },
-            ),
-            ]
-
-
-    def _generate_examples(self, data_file, split):
-        if split in ["translated_name"]:
-            trans = json.load(open(data_file,"r"))
-            #i = -1
-            for i in range(len(trans)):
-                yield i, {
-                    "column1": str(trans[i][0]),
-                    "column2": str(trans[i][1]),
-                    "column3": None
-                }
-        else:
-            f = open(data_file,"r",encoding='utf-8')
-            data = f.readlines()
-            for i in range(len(data)):
-                #print(row)
-                if self.config.name in ["source", "target"]:
-                    if split in ["ent_ids","rel_ids"]:
-                        row = data[i].strip('\n').split('\t')
-                        yield i, {
-                                    "column1": row[0],
-                                    "column2": row[1],
-                                    "column3": None
-                                }
-                    elif split in ["rel_triples_id","rel_triples_whole","rel_triples_name"]:
-                        row = data[i].strip('\n').split('\t')
-                        yield i, {
-                                    "column1": row[0],
-                                    "column2": row[1],
-                                    "column3": row[2]
-                                }
-                    elif split in ["attr_triples"]:
-                        row = data[i].rstrip('\n').split('\t')
-                        yield i, {
-                                    "column1": row[0],
-                                    "column2": row[1],
-                                    "column3": row[2]
-                                }
-                        
-                if self.config.name == "pairs":
-                    row = data[i].strip('\n').split('\t')
-                    yield i, {
-                                "left_id": row[0],
-                                "right_id": row[1]
-                    }

dwy-dbp-wd-100k.zip → pairs/dwy100k-d-w-ref.parquet

@@ -1,3 +1,3 @@
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pairs/dwy100k-d-w-sup.parquet

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pairs/dwy100k-d-w-test.parquet

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pairs/dwy100k-d-w-train.parquet

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pairs/dwy100k-d-w-valid.parquet

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source/dwy100k-d-w-ent_ids.parquet

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source/dwy100k-d-w-rel_triples_id.parquet

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target/dwy100k-d-w-ent_ids.parquet

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target/dwy100k-d-w-rel_triples_id.parquet

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