Dan Fu commited on
Commit
be7b043
1 Parent(s): 10366ea

HuggingFace downloadable

Browse files
README.md CHANGED
@@ -7,7 +7,13 @@ pretty_name: Red Pajama 1T
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  ---
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  ### Getting Started
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- The dataset consists of 2084 jsonl files. Download the entire dataset using the following command:
 
 
 
 
 
 
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  ```
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  wget -i https://data.together.xyz/redpajama-data-1T/v1.0.0/urls.txt
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  ```
@@ -42,7 +48,8 @@ The dataset structure is as follows:
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  ```
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  {
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  "text": ...,
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- "meta": {"url": "...", "timestamp": "...", "source": "...", "language": "...", ...}
 
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  }
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  ```
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  ---
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  ### Getting Started
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+ The dataset consists of 2084 jsonl files.
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+ You can download the dataset using HuggingFace:
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+ ```
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+ ds = load_dataset("togethercomputer/RedPajama-Data-1T")
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+ ```
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+
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+ Or you can directly download the files using the following command:
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  ```
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  wget -i https://data.together.xyz/redpajama-data-1T/v1.0.0/urls.txt
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  ```
 
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  ```
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  {
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  "text": ...,
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+ "meta": {"url": "...", "timestamp": "...", "source": "...", "language": "...", ...},
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+ "red_pajama_subset": "common_crawl" | "c4" | "github" | "books" | "arxiv" | "wikipedia" | "stackexchange"
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  }
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  ```
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RedPajama-Data-1T.py ADDED
@@ -0,0 +1,134 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ # Copyright 2023 Together Computer
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+ #
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+ # Licensed under the Apache License, Version 2.0 (the "License");
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+ # you may not use this file except in compliance with the License.
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+ # You may obtain a copy of the License at
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+ #
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+ # http://www.apache.org/licenses/LICENSE-2.0
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+ #
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+ # Unless required by applicable law or agreed to in writing, software
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+ # distributed under the License is distributed on an "AS IS" BASIS,
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+ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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+ # See the License for the specific language governing permissions and
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+ # limitations under the License.
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+
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+ # Lint as: python3
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+ """RedPajama: An Open-Source, Clean-Room 1.2 Trillion Token Dataset."""
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+
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+
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+ import json
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+
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+ import datasets
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+
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+
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+ logger = datasets.logging.get_logger(__name__)
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+
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+
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+ _DESCRIPTION = """\
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+ RedPajama is a clean-room, fully open-source implementation of the LLaMa dataset.
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+ """
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+
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+ _URL_LISTS = {
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+ "arxiv": "urls/arxiv.txt",
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+ "book": "urls/book.txt",
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+ "c4": "urls/c4.txt",
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+ "common_crawl": "urls/common_crawl.txt",
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+ "github": "urls/github.txt",
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+ "stackexchange": "urls/stackexchange.txt",
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+ "wikipedia": "urls/wikipedia.txt",
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+ }
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+
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+
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+ class RedPajama1TConfig(datasets.BuilderConfig):
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+ """BuilderConfig for RedPajama sample."""
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+
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+ def __init__(self, *args, subsets, **kwargs):
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+ """BuilderConfig for RedPajama.
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+ Args:
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+ **kwargs: keyword arguments forwarded to super.
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+ """
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+ super(RedPajama1TConfig, self).__init__(**kwargs)
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+
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+ self.subsets = subsets
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+
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+
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+ class RedPajama1T(datasets.GeneratorBasedBuilder):
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+ """SQUAD: The Stanford Question Answering Dataset. Version 1.1."""
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+
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+ BUILDER_CONFIGS = [
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+ RedPajama1TConfig(
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+ subsets = list(_URL_LISTS.keys()),
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+ name="plain_text",
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+ version=datasets.Version("1.0.0", ""),
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+ description="Plain text",
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+ ),
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+ ]
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+
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+ def _info(self):
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+ return datasets.DatasetInfo(
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+ description=_DESCRIPTION,
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+ features=datasets.Features(
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+ {
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+ "text": datasets.Value("string"),
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+ "meta": datasets.Value("string"),
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+ "red_pajama_subset": datasets.Value("string"),
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+ }
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+ ),
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+ supervised_keys=None,
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+ )
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+
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+ def _split_generators(self, dl_manager):
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+ url_lists = dl_manager.download_and_extract({
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+ subset: _URL_LISTS[subset] for subset in self.config.subsets
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+ })
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+
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+ urls = {}
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+
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+ for subset, url_list in url_lists.items():
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+ with open(url_list, encoding="utf-8") as f:
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+ urls[subset] = [line.strip() for line in f][:1]
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+
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+ downloaded_files = dl_manager.download(urls)
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+
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+ return [
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+ datasets.SplitGenerator(
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+ name=datasets.Split.TRAIN,
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+ gen_kwargs = {
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+ "files": {
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+ subset: downloaded_files[subset]
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+ for subset in self.config.subsets
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+ }
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+ }
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+ )
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+ ]
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+
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+ def _generate_examples(self, files):
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+ """This function returns the examples in the raw (text) form."""
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+ key = 0
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+ for subset in files:
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+ if subset == "common_crawl":
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+ import zstandard as zstd
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+
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+ for path in files[subset]:
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+ with zstd.open(open(path, "rb"), "rt", encoding="utf-8") as f:
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+ for i, row in enumerate(f):
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+ data = json.loads(row)
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+ text = data["text"]
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+ del data["text"]
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+ yield key, {
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+ "text": text,
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+ "meta": json.dumps(data),
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+ "red_pajama_subset": subset,
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+ }
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+ key += 1
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+ else:
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+ for path in files[subset]:
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+ with open(path, encoding="utf-8") as f:
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+ for i, row in enumerate(f):
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+ data = json.loads(row)
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+ yield key, {
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+ "text": data["text"],
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+ "meta": data["meta"],
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+ "red_pajama_subset": subset,
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+ }
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+ key += 1
urls/arxiv.txt ADDED
@@ -0,0 +1,100 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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