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| # Copyright 2023 Together Computer | |
| # | |
| # 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. | |
| # Lint as: python3 | |
| """RedPajama: An Open-Source, Clean-Room 1.2 Trillion Token Dataset.""" | |
| import json | |
| import datasets | |
| logger = datasets.logging.get_logger(__name__) | |
| _DESCRIPTION = """\ | |
| RedPajama is a clean-room, fully open-source implementation of the LLaMa dataset. | |
| """ | |
| _URL_LISTS = { | |
| "arxiv": "urls/arxiv.txt", | |
| "book": "urls/book.txt", | |
| "c4": "urls/c4.txt", | |
| "common_crawl": "urls/common_crawl.txt", | |
| "github": "urls/github.txt", | |
| "stackexchange": "urls/stackexchange.txt", | |
| "wikipedia": "urls/wikipedia.txt", | |
| } | |
| class RedPajama1TConfig(datasets.BuilderConfig): | |
| """BuilderConfig for RedPajama sample.""" | |
| def __init__(self, *args, subsets, **kwargs): | |
| """BuilderConfig for RedPajama. | |
| Args: | |
| **kwargs: keyword arguments forwarded to super. | |
| """ | |
| super(RedPajama1TConfig, self).__init__(**kwargs) | |
| self.subsets = subsets | |
| class RedPajama1T(datasets.GeneratorBasedBuilder): | |
| """RedPajama: Reproducing the LLaMA training dataset of over 1.2 trillion tokens. Version 1.0.0.""" | |
| BUILDER_CONFIGS = [ | |
| RedPajama1TConfig( | |
| subsets = list(_URL_LISTS.keys()), | |
| name="plain_text", | |
| version=datasets.Version("1.0.0", ""), | |
| description="Plain text", | |
| ), | |
| ] | |
| def _info(self): | |
| return datasets.DatasetInfo( | |
| description=_DESCRIPTION, | |
| features=datasets.Features( | |
| { | |
| "text": datasets.Value("string"), | |
| "meta": datasets.Value("string"), | |
| "red_pajama_subset": datasets.Value("string"), | |
| } | |
| ), | |
| supervised_keys=None, | |
| ) | |
| def _split_generators(self, dl_manager): | |
| url_lists = dl_manager.download_and_extract({ | |
| subset: _URL_LISTS[subset] for subset in self.config.subsets | |
| }) | |
| urls = {} | |
| for subset, url_list in url_lists.items(): | |
| with open(url_list, encoding="utf-8") as f: | |
| urls[subset] = [line.strip() for line in f][:1] | |
| downloaded_files = dl_manager.download(urls) | |
| return [ | |
| datasets.SplitGenerator( | |
| name=datasets.Split.TRAIN, | |
| gen_kwargs = { | |
| "files": { | |
| subset: downloaded_files[subset] | |
| for subset in self.config.subsets | |
| } | |
| } | |
| ) | |
| ] | |
| def _generate_examples(self, files): | |
| """This function returns the examples in the raw (text) form.""" | |
| key = 0 | |
| for subset in files: | |
| if subset == "common_crawl": | |
| import zstandard as zstd | |
| for path in files[subset]: | |
| with zstd.open(open(path, "rb"), "rt", encoding="utf-8") as f: | |
| for i, row in enumerate(f): | |
| data = json.loads(row) | |
| text = data["text"] | |
| del data["text"] | |
| yield key, { | |
| "text": text, | |
| "meta": json.dumps(data), | |
| "red_pajama_subset": subset, | |
| } | |
| key += 1 | |
| else: | |
| for path in files[subset]: | |
| with open(path, encoding="utf-8") as f: | |
| for i, row in enumerate(f): | |
| data = json.loads(row) | |
| yield key, { | |
| "text": data["text"], | |
| "meta": data["meta"], | |
| "red_pajama_subset": subset, | |
| } | |
| key += 1 | |