diff --git a/README.md b/README.md
index 62466c836bd77c444518c4046fec4b8e89ef9867..6797793a214615566a1f72bb10bfec62b1a69ddc 100644
--- a/README.md
+++ b/README.md
@@ -9,7 +9,6 @@ license:
 - cc0-1.0
 multilinguality:
 - monolingual
-pretty_name: OpenWebText
 size_categories:
 - 1M<n<10M
 source_datasets:
@@ -21,17 +20,37 @@ task_ids:
 - language-modeling
 - masked-language-modeling
 paperswithcode_id: openwebtext
+pretty_name: OpenWebText
 dataset_info:
+- config_name: default
+  features:
+  - name: __key__
+    dtype: string
+  - name: __url__
+    dtype: string
+  - name: xz
+    dtype: binary
+  splits:
+  - name: train
+    num_bytes: 46013560300
+    num_examples: 20610
+  download_size: 25132701187
+  dataset_size: 46013560300
+- config_name: plain_text
   features:
   - name: text
     dtype: string
-  config_name: plain_text
   splits:
   - name: train
     num_bytes: 39769491688
     num_examples: 8013769
   download_size: 12880189440
   dataset_size: 39769491688
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
 ---
 
 # Dataset Card for "openwebtext"
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diff --git a/openwebtext.py b/openwebtext.py
deleted file mode 100644
index 32bb7b9a6adea06ffe81253e4dd133649aa844fb..0000000000000000000000000000000000000000
--- a/openwebtext.py
+++ /dev/null
@@ -1,79 +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 re
-
-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.
-"""
-
-_N_DATA_FILES = 21
-_DATA_FILES = ["subsets/urlsf_subset{:02d}.tar".format(i) for i in range(_N_DATA_FILES)]
-
-
-class Openwebtext(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):
-        archives = dl_manager.download(_DATA_FILES)
-        return [
-            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={
-                "archive_iterators": [
-                    dl_manager.iter_archive(archive) for archive in archives
-                ],
-                "iter_archive": dl_manager.iter_archive
-            }),
-        ]
-
-    def _generate_examples(self, archive_iterators, iter_archive):
-        """Yields examples."""
-        for archive_iterator in archive_iterators:
-            for xz_filepath, xz_f in archive_iterator:
-                if not xz_filepath.endswith(".xz"):
-                    continue
-                for txt_filepath, txt_f in iter_archive(xz_f):
-                    if not txt_filepath.endswith(".txt"):
-                        continue
-                    idx = f"{xz_filepath}/{txt_filepath}"
-                    yield idx, {"text": re.sub("\n\n\n+", "\n\n", txt_f.read().decode("utf-8")).strip()}
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