Delete tasktemplates.py

tasktemplates.py

@@ -1,120 +0,0 @@
-# download templates from the github repository
-import yaml
-import datasets
-
-
-_PREFIX = 'https://raw.githubusercontent.com/ivanvykopal/tasktemplates/master/src/templates/'
-
-_DATASETS = [
-    'aeslc',
-    'anli',
-    'billsum',
-    'boolq',
-    'c4',
-    'cb',
-    'cnn_dailymail',
-    'cola',
-    'common_gen',
-    'copa',
-    'cosmos_qa',
-    'cxc',
-    'doc_nli',
-    'drop',
-    'gigaword',
-    'hellaswag',
-    'hotpot_qa',
-    'mnli',
-    'mrpc',
-    'mrqa',
-    'multirc',
-    'multi_news',
-    'multi_nli',
-    'newsqa',
-    'newsroom',
-    'nq_open',
-    'piqa',
-    'qnli',
-    'qqp',
-    'race',
-    'record',
-    'rte',
-    'samsum',
-    'search_qa',
-    'snli',
-    'social_i_qa',
-    'squad',
-    'sst2',
-    'stsb',
-    'wic',
-    'wiki_auto',
-    'wiki_lingua',
-    'winogrande',
-    'wnli',
-    'wsc',
-    'xsum'
-]
-
-
-class TaskTemplatesConfig(datasets.BuilderConfig):
-    def __init__(self, data_url, **kwargs):
-        super(TaskTemplatesConfig, self).__init__(**kwargs)
-
-        self.data_url = data_url
-
-
-class TaskTemplates(datasets.GeneratorBasedBuilder):
-    VERSION = datasets.Version("1.0.0")
-    BUILDER_CONFIGS = [
-        TaskTemplatesConfig(
-            name=dataset,
-            version=datasets.Version("1.0.0"),
-            data_url=f"{_PREFIX}{dataset}/templates.yaml"
-        ) for dataset in _DATASETS
-    ]
-    BUILDER_CONFIG_CLASS = TaskTemplatesConfig
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description="Task templates for various NLP tasks",
-            features=datasets.Features(
-                {
-                    "task": datasets.Value("string"),
-                    "templates": datasets.Sequence(datasets.Value("string"))
-                }
-            ),
-        )
-
-    def _split_generators(self, dl_manager):
-        urls_to_download = {
-            'train': []
-        }
-        for dataset in _DATASETS:
-            urls_to_download['train'].append(
-                f"{_PREFIX}{dataset}/templates.yaml")
-
-        downloaded_files = dl_manager.download_and_extract(urls_to_download)
-        splits = []
-
-        if "train" in downloaded_files:
-            splits.append(
-                datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={
-                                        'filepath': downloaded_files["train"]})
-            )
-
-        return splits
-
-    def _generate_examples(self, filepath):
-        id = 0
-        for path in filepath:
-            with open(path, 'r') as file:
-                template = yaml.load(file, Loader=yaml.FullLoader)
-                for _, task_templates in template['templates'].items():
-                    for task_template in task_templates:
-                        yield id, {
-                            "name": task_template['name'],
-                            "input": task_template['input'],
-                            "target": task_template['target'],
-                            "languages": task_template['metadata']['languages'],
-                            "metrics": task_template['metadata']['metrics']
-                        }
-                        id += 1