Delete hansel.py

hansel.py

@@ -1,171 +0,0 @@
-# coding=utf-8
-
-"""Hansel: A Chinese Few-Shot and Zero-Shot Entity Linking Benchmark"""
-
-
-import json
-import os
-
-import datasets
-
-
-
-_HANSEL_CITATION = """\
-@misc{xu2022hansel,
-  title = {Hansel: A Chinese Few-Shot and Zero-Shot Entity Linking Benchmark},
-  author = {Xu, Zhenran and Shan, Zifei and Li, Yuxin and Hu, Baotian and Qin, Bing},
-  publisher = {arXiv},
-  year = {2022},
-  url = {https://arxiv.org/abs/2207.13005}
-}
-
-"""
-
-_HANSEL_DESCRIPTION = """\
-Hansel is a high-quality human-annotated Chinese entity linking (EL) dataset, used for testing Chinese EL systems' generalization ability to tail entities and emerging entities.
-The test set contains Few-shot (FS) and zero-shot (ZS) slices, has 10K examples and uses Wikidata as the corresponding knowledge base.
-The training and validation sets are from Wikipedia hyperlinks, useful for large-scale pretraining of Chinese EL systems.
-
-"""
-
-
-_URLS = {
-    "train": "hansel-train.jsonl",
-    "val": "hansel-val.jsonl",
-    "hansel-fs": "hansel-few-shot-v1.jsonl",
-    "hansel-zs": "hansel-zero-shot-v1.jsonl",
-}
-
-logger = datasets.logging.get_logger(__name__)
-
-
-class HanselConfig(datasets.BuilderConfig):
-    """BuilderConfig for HanselConfig."""
-
-    def __init__(self, features, data_url, citation, url, **kwargs):
-        """BuilderConfig for Hansel.
-
-        Args:
-          features: `list[string]`, list of the features that will appear in the
-            feature dict. Should not include "label".
-          data_url: `string`, url to download the zip file from.
-          citation: `string`, citation for the data set.
-          url: `string`, url for information about the data set.
-          **kwargs: keyword arguments forwarded to super.
-        """
-        super(HanselConfig, self).__init__(version=datasets.Version("1.0.0"), **kwargs)
-        self.features = features
-        self.data_url = data_url
-        self.citation = citation
-        self.url = url
-
-
-class Hansel(datasets.GeneratorBasedBuilder):
-    """The Hansel benchmark."""
-
-    BUILDER_CONFIGS = [
-        HanselConfig(
-            name="wiki",
-            description=_HANSEL_DESCRIPTION,
-            features=["id", "text", "start", "end", "mention", "gold_id"],
-            data_url="https://huggingface.co/datasets/HIT-TMG/Hansel/blob/main/",
-            citation=_HANSEL_CITATION,
-            url="https://github.com/HITsz-TMG/Hansel",
-        )
-        HanselConfig(
-            name="hansel-few-shot",
-            description=_HANSEL_DESCRIPTION,
-            features=["id", "text", "start", "end", "mention", "gold_id", "source", "domain"],
-            data_url="https://huggingface.co/datasets/HIT-TMG/Hansel/blob/main/",
-            citation=_HANSEL_CITATION,
-            url="https://github.com/HITsz-TMG/Hansel",
-        )
-        HanselConfig(
-            name="hansel-zero-shot",
-            description=_HANSEL_DESCRIPTION,
-            features=["id", "text", "start", "end", "mention", "gold_id", "source", "domain"],
-            data_url="https://huggingface.co/datasets/HIT-TMG/Hansel/blob/main/",
-            citation=_HANSEL_CITATION,
-            url="https://github.com/HITsz-TMG/Hansel",
-        )
-    ]
-
-    def _info(self):
-        features = {feature: datasets.Value("string") for feature in self.config.features}
-        features["start"] = datasets.Value("int64")
-        features["end"] = datasets.Value("int64")
-
-        return datasets.DatasetInfo(
-            description=self.config.description,
-            features=datasets.Features(features),
-            homepage=self.config.url,
-            citation=self.config.citation
-        )
-
-
-    def _split_generators(self, dl_manager):
-
-        urls_to_download = self._URLS
-        downloaded_files = dl_manager.download_and_extract(urls_to_download)
-
-        if "hansel-few" in self.config.name:
-            return [
-                datasets.SplitGenerator(
-                    name=datasets.Split.TEST,
-                    gen_kwargs={
-                        "data_file": downloaded_files["hansel-fs"]),
-                        "split": datasets.Split.TEST,
-                    },
-                ),
-            ]
-        if "hansel-zero" in self.config.name:
-            return [
-                datasets.SplitGenerator(
-                    name=datasets.Split.TEST,
-                    gen_kwargs={
-                        "data_file": downloaded_files["hansel-zs"],
-                        "split": datasets.Split.TEST,
-                    },
-                ),
-            ]
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    "data_file": downloaded_files["train"],
-                    "split": datasets.Split.TRAIN,
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
-                gen_kwargs={
-                    "data_file": downloaded_files["val"],
-                    "split": datasets.Split.VALIDATION,
-                },
-            ),
-        ]
-
-    def _generate_examples(self, data_file, split):
-        logger.info("generating examples from = %s", data_file)
-        with open(data_file, encoding="utf-8") as f:
-            for line in f:
-                temDict = json.loads(line)
-                key = temDict["id"]
-                if "hansel" in self.config.name:
-                    yield key, {
-                                "text": temDict["text"],
-                                "start": temDict["start"],
-                                "end": temDict["end"],
-                                "mention": temDict["mention"],
-                                "gold_id": temDict["gold_id"],
-                                "source": temDict["source"],
-                                "domain": temDict["domain"],
-                            }
-                else:
-                    yield key, {
-                                "text": temDict["text"],
-                                "start": temDict["start"],
-                                "end": temDict["end"],
-                                "mention": temDict["mention"],
-                                "gold_id": temDict["gold_id"],
-                            }