Update parquet files

.gitattributes

@@ -14,3 +14,4 @@
 *.pb filter=lfs diff=lfs merge=lfs -text
 *.pt filter=lfs diff=lfs merge=lfs -text
 *.pth filter=lfs diff=lfs merge=lfs -text
+plain_text/openwebtext-10k-train.parquet filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,31 +0,0 @@
-10K slice of OpenWebText - An open-source replication of the WebText dataset from OpenAI.
-
-This is a small subset representing the first 10K records from the original dataset - created for testing.
-
-The full 8M-record dataset is [here](https://huggingface.co/datasets/openwebtext).
-
-```
-$ python -c "from datasets import load_dataset; ds=load_dataset('stas/openwebtext-10k'); print(ds)"
-DatasetDict({
-    train: Dataset({
-        features: ['text'],
-        num_rows: 10000
-    })
-})
-```
-
-* Records: 10,000
-* compressed size: ~15MB
-* uncompressed size: 50MB
-
-To convert to jsonlines:
-
-```
-from datasets import load_dataset
-dataset_name = "stas/openwebtext-10k"
-name = dataset_name.split('/')[-1]
-ds = load_dataset(dataset_name, split='train')
-ds.to_json(f"{name}.jsonl", orient="records", lines=True)
-```
-
-To see how this subset was created, here is the [instructions file](https://huggingface.co/datasets/stas/openwebtext-10k/blob/main/process.txt).

dataset_infos.json

@@ -1 +0,0 @@
-{"plain_text": {"description": "An open-source replication of the WebText dataset from OpenAI.\n\nThis is a small subset representing the first 10K records from the original dataset - created for testing.\n\nThe full 8M-record dataset is at https://huggingface.co/datasets/openwebtext\n", "citation": "@misc{Gokaslan2019OpenWeb,\n  title={OpenWebText Corpus},\n  author={Aaron Gokaslan*, Vanya Cohen*, Ellie Pavlick, Stefanie Tellex},\n  howpublished{\\url{http://Skylion007.github.io/OpenWebTextCorpus}},\n  year={2019}\n}\n", "homepage": "https://skylion007.github.io/OpenWebTextCorpus/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "openwebtext10k", "config_name": "plain_text", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 49670861, "num_examples": 10000, "dataset_name": "openwebtext10k"}}, "download_checksums": {"https://cdn-datasets.huggingface.co/nlp/datasets/openwebtext/openwebtext-10k.tar.xz": {"num_bytes": 14723792, "checksum": "1dd150ffa3361ab32fa9f129d1b5ce20ac48728be16be436558f844d1761c572"}}, "download_size": 14723792, "post_processing_size": null, "dataset_size": 49670861, "size_in_bytes": 64394653}}

openwebtext-10k.py

@@ -1,89 +0,0 @@
-# coding=utf-8
-# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
-#
-# 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.
-"""The Open WebText Corpus"""
-
-
-import os
-import re
-from itertools import chain
-
-import datasets
-
-
-_CITATION = """\
-@misc{Gokaslan2019OpenWeb,
-  title={OpenWebText Corpus},
-  author={Aaron Gokaslan*, Vanya Cohen*, Ellie Pavlick, Stefanie Tellex},
-  howpublished{\\url{http://Skylion007.github.io/OpenWebTextCorpus}},
-  year={2019}
-}
-"""
-
-_DESCRIPTION = """\
-An open-source replication of the WebText dataset from OpenAI.
-
-This is a small subset representing the first 10K records from the original dataset - created for testing.
-
-The full 8M-record dataset is at https://huggingface.co/datasets/openwebtext
-"""
-
-_URL = "https://cdn-datasets.huggingface.co/nlp/datasets/openwebtext/openwebtext-10k.tar.xz"
-
-class Openwebtext10k(datasets.GeneratorBasedBuilder):
-    """The Open WebText dataset."""
-
-    BUILDER_CONFIGS = [
-        datasets.BuilderConfig(
-            name="plain_text",
-            description="Plain text",
-            version=datasets.Version("1.0.0"),
-        )
-    ]
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features({"text": datasets.Value("string")}),
-            homepage="https://skylion007.github.io/OpenWebTextCorpus/",
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        dl_dir = dl_manager.download_and_extract(_URL)
-        owt_dir = os.path.join(dl_dir, "openwebtext-10k")
-        subset_xzs = [
-            os.path.join(owt_dir, file_name)
-            for file_name in sorted(os.listdir(owt_dir))
-            if file_name.endswith("xz")  # filter out ...xz.lock
-        ]
-        ex_dirs = dl_manager.extract(subset_xzs, num_proc=round(os.cpu_count() * 0.75))
-        nested_txt_files = [
-            [
-                os.path.join(ex_dir, txt_file_name)
-                for txt_file_name in sorted(os.listdir(ex_dir))
-                if txt_file_name.endswith("txt")
-            ]
-            for ex_dir in ex_dirs
-        ]
-        txt_files = chain(*nested_txt_files)
-        return [
-            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"txt_files": txt_files}),
-        ]
-
-    def _generate_examples(self, txt_files):
-        """Yields examples."""
-        for idx, filepath in enumerate(txt_files):
-            with open(filepath, encoding="utf-8") as f:
-                yield idx, {"text": re.sub("\n\n\n+", "\n\n", f.read()).strip()}

plain_text/openwebtext-10k-train.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:757c03fd89e59a557d7768effd97c9a9383ea4a1020f8334967e692566677082
+size 30271596

process.txt

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-
-# this is a small derivative from 8M-big openwebtext dataset for testing
-
-# how this build script and dataset_infos.json were generated
-
-#
-
-mkdir openwebtext-10k
-cd openwebtext-10k
-
-# data
-wget https://zenodo.org/record/3834942/files/openwebtext.tar.xz
-tar xf openwebtext.tar.xz
-cd openwebtext
-rename.pl 's|-|-00|; s|-00(\d\d\d)|-$1|; s|-00(\d\d)|-0$1|;' *xz
-
-# now open the first 30 archives
-mkdir subset
-cp urlsf_subset00-0[0-2]*_data.xz subset
-cd subset
-find . -name "*xz" -exec tar xf {} \;
-mkdir 10k
-find . -name "*txt" | sort | head -10000 | xargs mv -t 10k
-tar cfJ 10k.xz -C 10k .
-mkdir openwebtext-10k
-mv 10k.xz openwebtext-10k
-tar cfJ openwebtext-10k.tar.xz openwebtext-10k
-# the openwebtext subdir gets created on the fly
-aws s3 cp openwebtext-10k.tar.xz s3://datasets.huggingface.co/nlp/datasets/openwebtext/
-
-# script
-wget https://raw.githubusercontent.com/huggingface/datasets/master/datasets/openwebtext/openwebtext.py
-mv openwebtext.py openwebtext-10k.py
-perl -pi -e 's|openwebtext|openwebtext-10k|g' openwebtext-10k.py
-perl -pi -e 's|https://zenodo.org/record/3834942/files/|https://cdn-datasets.huggingface.co/nlp/datasets/openwebtext/|g' openwebtext-10k.py
-perl -pi -e 's|Openwebtext|Openwebtext10k|g' openwebtext-10k.py
-
-
-
-# manually check that the script is correct - edit the descriptions
-
-# create a new dataset entry on the hub
-https://huggingface.co/new-dataset
-
-# once created clone it
-git clone https://huggingface.co/datasets/stas/openwebtext-10k
-cp openwebtext-10k.py process.txt openwebtext-10k
-cd openwebtext-10k
-
-git add openwebtext-10k.py process.txt
-git commit -m "build script" openwebtext-10k.py process.txt
-git push
-
-# test and generate config file
-cd ..
-datasets-cli test ./openwebtext-10k --save_infos --all_configs
-
-# add and push the generated config
-cd openwebtext-10k
-git add dataset_infos.json
-git commit -m "add dataset_infos.json" dataset_infos.json
-git push
-
-# test that the dataset is working
-python -c "from datasets import load_dataset; ds=load_dataset('stas/openwebtext-10k'); print(ds)"