| import datasets | |
| import os | |
| import json | |
| _DESCRIPTION = "lm-polygraph wrapper for xsum dataset" | |
| _LANGS = ["en"] | |
| _DATA_DIRECTORY = "." | |
| VERSION = datasets.Version("0.0.1") | |
| _SPLITS = ["train", "validation", "test"] | |
| _CONFIG = { | |
| "dataset": "xsum", | |
| "input_column": "document", | |
| "output_column": "summary", | |
| } | |
| def _prepare_dataset(dataset): | |
| return dataset[_CONFIG["input_column"]], dataset[_CONFIG["output_column"]] | |
| class PolygraphXsum(datasets.GeneratorBasedBuilder): | |
| """lm-polygraph wrapper for xsum dataset""" | |
| def _info(self): | |
| features = datasets.Features( | |
| { | |
| "input": datasets.Value("string"), | |
| "output": datasets.Value("string"), | |
| } | |
| ) | |
| return datasets.DatasetInfo( | |
| description=_DESCRIPTION, | |
| features=features, | |
| ) | |
| def _split_generators(self, dl_manager): | |
| dataset = datasets.load_dataset(_CONFIG["dataset"], trust_remote_code=True) | |
| def download_custom_dataset(src_url: str, dst_path: str): | |
| split = src_url | |
| x, y = _prepare_dataset(dataset[split]) | |
| result_dataset = Dataset.from_dict({"input": x, "output": y}) | |
| result_dataset.to_json(dst_path) | |
| downloaded_files = dl_manager.download_custom(_SPLITS, download_custom_dataset) | |
| return [ | |
| datasets.SplitGenerator( | |
| name=datasets.Split.TRAIN, | |
| gen_kwargs={ | |
| "filepath": downloaded_files["train"], | |
| "lang": lang, | |
| }), | |
| datasets.SplitGenerator( | |
| name=datasets.Split.VALIDATION, | |
| gen_kwargs={ | |
| "filepath": downloaded_files["validation"], | |
| }), | |
| datasets.SplitGenerator( | |
| name=datasets.Split.TEST, | |
| gen_kwargs={ | |
| "filepath": downloaded_files["test"], | |
| }) | |
| ] | |
| def _generate_examples(self, filepath, lang): | |
| with open(filepath, encoding="utf-8") as f: | |
| dataset = Dataset.from_json(f.read()) | |
| for i in range(len(item)): | |
| yield i, dataset[i] | |