Dan Fu
commited on
Commit
•
be7b043
1
Parent(s):
10366ea
HuggingFace downloadable
Browse files- README.md +9 -2
- RedPajama-Data-1T.py +134 -0
- urls/arxiv.txt +100 -0
- urls/book.txt +1 -0
- urls/c4.txt +1024 -0
- urls/common_crawl.txt +0 -0
- urls/github.txt +98 -0
- urls/stackexchange.txt +1 -0
- urls/wikipedia.txt +1 -0
README.md
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@@ -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.
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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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}
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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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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
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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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# Lint as: python3
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"""RedPajama: An Open-Source, Clean-Room 1.2 Trillion Token Dataset."""
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import json
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import datasets
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logger = datasets.logging.get_logger(__name__)
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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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_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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class RedPajama1TConfig(datasets.BuilderConfig):
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"""BuilderConfig for RedPajama sample."""
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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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self.subsets = subsets
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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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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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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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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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urls = {}
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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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downloaded_files = dl_manager.download(urls)
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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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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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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
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urls/arxiv.txt
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https://data.together.xyz/redpajama-data-1T/v1.0.0/arxiv/arxiv_023827cd-7ee8-42e6-aa7b-661731f4c70f.jsonl
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https://data.together.xyz/redpajama-data-1T/v1.0.0/arxiv/arxiv_024de5df-1b7f-447c-8c3a-51407d8d6732.jsonl
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https://data.together.xyz/redpajama-data-1T/v1.0.0/arxiv/arxiv_03232e26-be3f-4a28-a5d2-ee1d8c0e9831.jsonl
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https://data.together.xyz/redpajama-data-1T/v1.0.0/arxiv/arxiv_034e819a-cfcb-43c6-ad25-0232ad48823c.jsonl
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https://data.together.xyz/redpajama-data-1T/v1.0.0/arxiv/arxiv_077ae8de-a68e-47e7-95a6-6d82f8f4eeb9.jsonl
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https://data.together.xyz/redpajama-data-1T/v1.0.0/arxiv/arxiv_0af50072-df4c-4084-a833-cebbd046e70e.jsonl
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https://data.together.xyz/redpajama-data-1T/v1.0.0/arxiv/arxiv_0de84cfc-c080-471f-b139-1bf061db4feb.jsonl
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https://data.together.xyz/redpajama-data-1T/v1.0.0/arxiv/arxiv_0fbdd8ad-32d8-4228-9a40-e09dde689760.jsonl
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https://data.together.xyz/redpajama-data-1T/v1.0.0/arxiv/arxiv_11c659c1-ffbf-4455-abfd-058f6bbf4bb2.jsonl
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https://data.together.xyz/redpajama-data-1T/v1.0.0/arxiv/arxiv_1958455d-6543-4307-a081-d86ce0637f9a.jsonl
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https://data.together.xyz/redpajama-data-1T/v1.0.0/arxiv/arxiv_1982fb29-c4ed-4dd3-855c-666e63bc62d9.jsonl
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https://data.together.xyz/redpajama-data-1T/v1.0.0/arxiv/arxiv_1caed86f-5625-4941-bdc1-cc57e4fec1cd.jsonl
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https://data.together.xyz/redpajama-data-1T/v1.0.0/arxiv/arxiv_1d3a0cd6-f0e6-4106-a080-524a4bd50016.jsonl
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https://data.together.xyz/redpajama-data-1T/v1.0.0/arxiv/arxiv_29d54f5a-1dd0-4e9a-b783-fb2eec9db072.jsonl
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https://data.together.xyz/redpajama-data-1T/v1.0.0/arxiv/arxiv_29fd3d99-53fb-43e2-a4a5-2fd01bf77258.jsonl
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https://data.together.xyz/redpajama-data-1T/v1.0.0/arxiv/arxiv_2b224cd9-286e-46ac-8c4e-c1e3befc8760.jsonl
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https://data.together.xyz/redpajama-data-1T/v1.0.0/arxiv/arxiv_2c131fca-2a05-4d5f-a805-59d2af3477e2.jsonl
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https://data.together.xyz/redpajama-data-1T/v1.0.0/arxiv/arxiv_2f28f1a7-6972-48ad-8997-65a5d52e4f1c.jsonl
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https://data.together.xyz/redpajama-data-1T/v1.0.0/arxiv/arxiv_30440198-cd90-48c6-82c1-ea871b8c21c5.jsonl
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https://data.together.xyz/redpajama-data-1T/v1.0.0/arxiv/arxiv_393d19f2-1cd1-421f-be8a-78d955fdf602.jsonl
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https://data.together.xyz/redpajama-data-1T/v1.0.0/arxiv/arxiv_3a5d4f93-97ec-483a-88ef-324df9651b3f.jsonl
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https://data.together.xyz/redpajama-data-1T/v1.0.0/arxiv/arxiv_3c89ea11-69ff-4049-b775-f0c785997909.jsonl
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https://data.together.xyz/redpajama-data-1T/v1.0.0/arxiv/arxiv_3d5a011a-4bbe-4585-a2bd-ff3e943c8671.jsonl
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https://data.together.xyz/redpajama-data-1T/v1.0.0/arxiv/arxiv_3f805f4b-6f7f-42a8-a006-47c1e0401bd7.jsonl
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https://data.together.xyz/redpajama-data-1T/v1.0.0/arxiv/arxiv_73241940-66c1-481c-b53a-f5e8b9afe9fa.jsonl
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https://data.together.xyz/redpajama-data-1T/v1.0.0/arxiv/arxiv_75af5d17-5ebb-4460-9f2a-dc9fe880a936.jsonl
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urls/book.txt
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urls/c4.txt
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urls/github.txt
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urls/stackexchange.txt
ADDED
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1 |
+
https://data.together.xyz/redpajama-data-1T/v1.0.0/stackexchange/stackexchange.jsonl
|
urls/wikipedia.txt
ADDED
@@ -0,0 +1 @@
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|
|
|
|
1 |
+
https://data.together.xyz/redpajama-data-1T/v1.0.0/wikipedia/wiki.jsonl
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