Datasets:
Maurice Weber
commited on
Commit
•
cb715ae
1
Parent(s):
2aa608b
initial commit
Browse files- README.md +115 -0
- RedPajama-Data-V2.py +265 -0
- _CC_SNAPSHOT_IDS +84 -0
- _QUALITY_SIGNAL_TAGS +42 -0
README.md
ADDED
@@ -0,0 +1,115 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
task_categories:
|
3 |
+
- text-generation
|
4 |
+
language:
|
5 |
+
- en
|
6 |
+
- de
|
7 |
+
- fr
|
8 |
+
- es
|
9 |
+
- it
|
10 |
+
pretty_name: Red Pajama V2 Data Foundation
|
11 |
+
---
|
12 |
+
|
13 |
+
### Getting Started
|
14 |
+
|
15 |
+
```python
|
16 |
+
from datasets import load_dataset
|
17 |
+
|
18 |
+
ds = load_dataset("togethercomputer/RedPajama-Data-V2", name="en-head-middle-all")
|
19 |
+
```
|
20 |
+
|
21 |
+
Or you can directly download the files using the following command:
|
22 |
+
|
23 |
+
```bash
|
24 |
+
wget 'https://data.together.xyz/redpajama-data-v2/v1.0.0/urls.txt'
|
25 |
+
while read line; do
|
26 |
+
dload_loc=${line#https://data.together.xyz/redpajama-data-v2/v1.0.0/}
|
27 |
+
mkdir -p $(dirname $dload_loc)
|
28 |
+
wget "$line" -O "$dload_loc"
|
29 |
+
done < urls.txt
|
30 |
+
```
|
31 |
+
|
32 |
+
After downloading the files, you can load the dataset from disk by setting the `RED_PAJAMA_DATA_DIR` environment
|
33 |
+
variable XXXX TODO XXX
|
34 |
+
|
35 |
+
A smaller sample of the dataset can be downloaded via
|
36 |
+
|
37 |
+
```python
|
38 |
+
from datasets import load_dataset
|
39 |
+
|
40 |
+
ds = load_dataset("togethercomputer/RedPajama-Data-V2", name="en-sample")
|
41 |
+
```
|
42 |
+
|
43 |
+
A full set of scripts to recreate the dataset from can be
|
44 |
+
found [here](https://github.com/togethercomputer/RedPajama-Data).
|
45 |
+
|
46 |
+
### Dataset Summary
|
47 |
+
|
48 |
+
TODO: Write a sentence about the dataset
|
49 |
+
|
50 |
+
### Languages
|
51 |
+
|
52 |
+
English, German, French, Italian, Spanish
|
53 |
+
|
54 |
+
## Dataset Structure
|
55 |
+
|
56 |
+
The dataset structure is as follows:
|
57 |
+
|
58 |
+
```json
|
59 |
+
{
|
60 |
+
TODO
|
61 |
+
}
|
62 |
+
```
|
63 |
+
|
64 |
+
## Dataset Creation
|
65 |
+
|
66 |
+
XXXX
|
67 |
+
|
68 |
+
### Commoncrawl
|
69 |
+
TODO
|
70 |
+
|
71 |
+
To cite RedPajama, please use:
|
72 |
+
|
73 |
+
```
|
74 |
+
@software{together2023redpajama,
|
75 |
+
author = {Together Computer},
|
76 |
+
title = {RedPajama-Data-v2: a living data foundation for training open LLM models},
|
77 |
+
month = October,
|
78 |
+
year = 2023,
|
79 |
+
url = {https://github.com/togethercomputer/RedPajama-Data}
|
80 |
+
}
|
81 |
+
```
|
82 |
+
|
83 |
+
### License
|
84 |
+
|
85 |
+
TODO: double check this
|
86 |
+
|
87 |
+
Please refer to the licenses of the data subsets you use.
|
88 |
+
|
89 |
+
* [Common Crawl Foundation Terms of Use](https://commoncrawl.org/terms-of-use/full/)
|
90 |
+
|
91 |
+
<!--
|
92 |
+
### Annotations
|
93 |
+
#### Annotation process
|
94 |
+
[More Information Needed]
|
95 |
+
#### Who are the annotators?
|
96 |
+
[More Information Needed]
|
97 |
+
### Personal and Sensitive Information
|
98 |
+
[More Information Needed]
|
99 |
+
## Considerations for Using the Data
|
100 |
+
### Social Impact of Dataset
|
101 |
+
[More Information Needed]
|
102 |
+
### Discussion of Biases
|
103 |
+
[More Information Needed]
|
104 |
+
### Other Known Limitations
|
105 |
+
[More Information Needed]
|
106 |
+
## Additional Information
|
107 |
+
### Dataset Curators
|
108 |
+
[More Information Needed]
|
109 |
+
### Licensing Information
|
110 |
+
[More Information Needed]
|
111 |
+
### Citation Information
|
112 |
+
[More Information Needed]
|
113 |
+
### Contributions
|
114 |
+
[More Information Needed]
|
115 |
+
-->
|
RedPajama-Data-V2.py
ADDED
@@ -0,0 +1,265 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
# Copyright 2023 Together Computer
|
2 |
+
#
|
3 |
+
# Licensed under the Apache License, Version 2.0 (the "License");
|
4 |
+
# you may not use this file except in compliance with the License.
|
5 |
+
# You may obtain a copy of the License at
|
6 |
+
#
|
7 |
+
# http://www.apache.org/licenses/LICENSE-2.0
|
8 |
+
#
|
9 |
+
# Unless required by applicable law or agreed to in writing, software
|
10 |
+
# distributed under the License is distributed on an "AS IS" BASIS,
|
11 |
+
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
12 |
+
# See the License for the specific language governing permissions and
|
13 |
+
# limitations under the License.
|
14 |
+
|
15 |
+
# Lint as: python3
|
16 |
+
"""RedPajama V2: Quality annotated Web Text Documents."""
|
17 |
+
|
18 |
+
import json
|
19 |
+
|
20 |
+
import datasets
|
21 |
+
import traceback
|
22 |
+
import os
|
23 |
+
import gzip
|
24 |
+
|
25 |
+
logger = datasets.logging.get_logger(__name__)
|
26 |
+
|
27 |
+
_DESCRIPTION = """\
|
28 |
+
RedPajama V2 is a dataset of web documents and their quality signals.
|
29 |
+
"""
|
30 |
+
|
31 |
+
with open("_CC_SNAPSHOT_IDS", "r") as f:
|
32 |
+
_CC_SNAPSHOT_IDS = [line.strip() for line in f]
|
33 |
+
|
34 |
+
with open("_QUALITY_SIGNAL_TAGS", "r") as f:
|
35 |
+
_QUALITY_SIGNAL_TAGS = [line.strip() for line in f]
|
36 |
+
|
37 |
+
_URL_BASE = 'https://data.together.xyz/redpajama-data-v2/v1.0.0'
|
38 |
+
_LANGUAGES = ("en", "de", "fr", "es", "it")
|
39 |
+
_DATA_DIR = os.environ.get('RED_PAJAMA_V2_DATA_DIR', None)
|
40 |
+
|
41 |
+
_LISTINGS_PATTERN = "urls/{language}-{snapshot}-{partition}.txt"
|
42 |
+
|
43 |
+
|
44 |
+
class RedPajamaDataV2Config(datasets.BuilderConfig):
|
45 |
+
"""BuilderConfig for RedPajama."""
|
46 |
+
|
47 |
+
def __init__(self, *args, language, partition, snapshots, **kwargs):
|
48 |
+
"""BuilderConfig for RedPajama.
|
49 |
+
Args:
|
50 |
+
**kwargs: keyword arguments forwarded to super.
|
51 |
+
"""
|
52 |
+
super(RedPajamaDataV2Config, self).__init__(**kwargs)
|
53 |
+
self.partition = partition
|
54 |
+
self.snapshots = snapshots
|
55 |
+
self.language = language
|
56 |
+
|
57 |
+
|
58 |
+
_BUILDER_CONFIGS = []
|
59 |
+
|
60 |
+
for lang in _LANGUAGES:
|
61 |
+
_BUILDER_CONFIGS.extend(
|
62 |
+
[
|
63 |
+
# single snapshot
|
64 |
+
RedPajamaDataV2Config(
|
65 |
+
name=f'{lang}-head-middle-{snapshot}',
|
66 |
+
partition='head-middle',
|
67 |
+
snapshots=[snapshot],
|
68 |
+
language=lang,
|
69 |
+
version=datasets.Version("1.0.0", ""),
|
70 |
+
description=f"RedPajamaV2 head-middle {lang}-{snapshot}",
|
71 |
+
)
|
72 |
+
for snapshot in _CC_SNAPSHOT_IDS
|
73 |
+
] + [
|
74 |
+
# all snapshots
|
75 |
+
RedPajamaDataV2Config(
|
76 |
+
name=f'{lang}-head-middle-all',
|
77 |
+
partition='head_middle',
|
78 |
+
snapshots=_CC_SNAPSHOT_IDS,
|
79 |
+
language=lang,
|
80 |
+
version=datasets.Version("1.0.0", ""),
|
81 |
+
description=f"RedPajamaV2 head-middle {lang}"
|
82 |
+
)
|
83 |
+
]
|
84 |
+
)
|
85 |
+
|
86 |
+
_BUILDER_CONFIGS.extend(
|
87 |
+
[
|
88 |
+
# single snapshot
|
89 |
+
RedPajamaDataV2Config(
|
90 |
+
name=f'{lang}-tail-{snapshot}',
|
91 |
+
partition='tail',
|
92 |
+
snapshots=[snapshot],
|
93 |
+
language=lang,
|
94 |
+
version=datasets.Version("1.0.0", ""),
|
95 |
+
description=f"RedPajamaV2 tail {lang}-{snapshot}",
|
96 |
+
)
|
97 |
+
for snapshot in _CC_SNAPSHOT_IDS
|
98 |
+
] + [
|
99 |
+
# all snapshots
|
100 |
+
RedPajamaDataV2Config(
|
101 |
+
name=f'{lang}-tail-all',
|
102 |
+
partition='tail',
|
103 |
+
snapshots=_CC_SNAPSHOT_IDS,
|
104 |
+
language=lang,
|
105 |
+
version=datasets.Version("1.0.0", ""),
|
106 |
+
description=f"RedPajamaV2 tail {lang}"
|
107 |
+
)
|
108 |
+
]
|
109 |
+
)
|
110 |
+
|
111 |
+
|
112 |
+
class RedPajamaV2(datasets.GeneratorBasedBuilder):
|
113 |
+
""" RedPajama V2: Quality annotated Web Text Documents. """
|
114 |
+
|
115 |
+
BUILDER_CONFIGS = _BUILDER_CONFIGS
|
116 |
+
|
117 |
+
def _info(self):
|
118 |
+
if self.config.partition == "tail":
|
119 |
+
return datasets.DatasetInfo(
|
120 |
+
description=_DESCRIPTION,
|
121 |
+
features=datasets.Features(
|
122 |
+
{
|
123 |
+
"raw_content": datasets.Value("string"),
|
124 |
+
"doc_id": datasets.Value("string"),
|
125 |
+
"meta": datasets.Value("string"),
|
126 |
+
}
|
127 |
+
),
|
128 |
+
supervised_keys=None,
|
129 |
+
)
|
130 |
+
else:
|
131 |
+
return datasets.DatasetInfo(
|
132 |
+
description=_DESCRIPTION,
|
133 |
+
features=datasets.Features(
|
134 |
+
{
|
135 |
+
"raw_content": datasets.Value("string"),
|
136 |
+
"doc_id": datasets.Value("string"),
|
137 |
+
"meta": datasets.Value("string"),
|
138 |
+
"quality_signals": datasets.Value("string")
|
139 |
+
}
|
140 |
+
),
|
141 |
+
supervised_keys=None,
|
142 |
+
)
|
143 |
+
|
144 |
+
def _split_generators(self, dl_manager):
|
145 |
+
url_lists = dl_manager.download_and_extract({
|
146 |
+
snapshot_id: _LISTINGS_PATTERN.format(
|
147 |
+
language=self.config.language,
|
148 |
+
snapshot=snapshot_id,
|
149 |
+
partition=self.config.partition,
|
150 |
+
)
|
151 |
+
for snapshot_id in self.config.snapshots
|
152 |
+
})
|
153 |
+
|
154 |
+
listings_ids = {}
|
155 |
+
|
156 |
+
for snapshot_id, listings_file in url_lists.items():
|
157 |
+
with open(listings_file, encoding="utf-8") as f:
|
158 |
+
listings_ids[snapshot_id] = [line.strip() for line in f]
|
159 |
+
|
160 |
+
# mapping document type -> url for download
|
161 |
+
if _DATA_DIR is not None:
|
162 |
+
documents_files = None
|
163 |
+
quality_signals_files = None
|
164 |
+
else:
|
165 |
+
# build urls pointing to documents
|
166 |
+
document_urls = {
|
167 |
+
snapshot_id: [
|
168 |
+
os.path.join(_URL_BASE, f"documents/{lst_id}.json.gz")
|
169 |
+
for lst_id in listings_ids[snapshot_id]
|
170 |
+
]
|
171 |
+
for snapshot_id in self.config.snapshots
|
172 |
+
}
|
173 |
+
|
174 |
+
documents_files = dl_manager.download(document_urls)
|
175 |
+
|
176 |
+
# build urls pointing to quality signals
|
177 |
+
if self.config.partition == "head_middle":
|
178 |
+
quality_signals_urls = {
|
179 |
+
snapshot_id: [
|
180 |
+
os.path.join(
|
181 |
+
_URL_BASE,
|
182 |
+
f"quality_signals/{lst_id}.signals.json.gz"
|
183 |
+
)
|
184 |
+
for lst_id in listings_ids[snapshot_id]
|
185 |
+
]
|
186 |
+
for snapshot_id in self.config.snapshots
|
187 |
+
}
|
188 |
+
|
189 |
+
quality_signals_files = dl_manager.download(
|
190 |
+
quality_signals_urls
|
191 |
+
)
|
192 |
+
else:
|
193 |
+
quality_signals_files = {}
|
194 |
+
|
195 |
+
return [
|
196 |
+
datasets.SplitGenerator(
|
197 |
+
name=datasets.Split.TRAIN,
|
198 |
+
gen_kwargs={
|
199 |
+
"listings_ids": listings_ids,
|
200 |
+
"documents_files": {
|
201 |
+
snapshot_id: documents_files[snapshot_id]
|
202 |
+
for snapshot_id in self.config.snapshots
|
203 |
+
},
|
204 |
+
"quality_signals_files": {
|
205 |
+
snapshot_id: quality_signals_files.get(snapshot_id)
|
206 |
+
for snapshot_id in self.config.snapshots
|
207 |
+
}
|
208 |
+
}
|
209 |
+
)
|
210 |
+
]
|
211 |
+
|
212 |
+
def _generate_examples(self, documents_files, quality_signals_files):
|
213 |
+
""" This function returns examples """
|
214 |
+
snapshots = list(documents_files.keys())
|
215 |
+
|
216 |
+
key = 0
|
217 |
+
for snapshot in snapshots:
|
218 |
+
docs_files = documents_files[snapshot]
|
219 |
+
if self.config.partition == "head_middle":
|
220 |
+
qs_files = quality_signals_files[snapshot]
|
221 |
+
else:
|
222 |
+
qs_files = None
|
223 |
+
|
224 |
+
assert len(docs_files) == len(qs_files)
|
225 |
+
|
226 |
+
for doc_file, qs_file in zip(docs_files, qs_files):
|
227 |
+
with gzip.open(doc_file, "rt", encoding="utf-8") as df:
|
228 |
+
with gzip.open(qs_file, "rt", encoding="utf-8") as qf:
|
229 |
+
for row, (doc, qs) in enumerate(zip(df, qf)):
|
230 |
+
|
231 |
+
try:
|
232 |
+
doc = json.loads(doc)
|
233 |
+
qs = json.loads(qs)
|
234 |
+
doc_id = qs["id"]
|
235 |
+
|
236 |
+
meta = {
|
237 |
+
"url": doc["url"],
|
238 |
+
"source_domain": doc["source_domain"],
|
239 |
+
"date_download": doc["date_download"],
|
240 |
+
"digest": doc["digest"],
|
241 |
+
}
|
242 |
+
|
243 |
+
if self.config.partition == "tail":
|
244 |
+
yield key, {
|
245 |
+
"raw_content": doc["raw_content"],
|
246 |
+
"doc_id": doc_id,
|
247 |
+
"meta": json.dumps(meta),
|
248 |
+
}
|
249 |
+
else:
|
250 |
+
yield key, {
|
251 |
+
"raw_content": doc["raw_content"],
|
252 |
+
"doc_id": doc_id,
|
253 |
+
"meta": json.dumps(meta),
|
254 |
+
"quality_signals": json.dumps(
|
255 |
+
qs["quality_signals"]
|
256 |
+
),
|
257 |
+
}
|
258 |
+
key += 1
|
259 |
+
except Exception as e:
|
260 |
+
print(f'doc_file: {doc_file}')
|
261 |
+
print(f'qs_file: {qs_file}')
|
262 |
+
print(f'row: {row}')
|
263 |
+
traceback.print_exc()
|
264 |
+
|
265 |
+
raise e
|
_CC_SNAPSHOT_IDS
ADDED
@@ -0,0 +1,84 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
2014-15
|
2 |
+
2014-23
|
3 |
+
2014-35
|
4 |
+
2014-41
|
5 |
+
2014-42
|
6 |
+
2014-49
|
7 |
+
2014-52
|
8 |
+
2015-14
|
9 |
+
2015-22
|
10 |
+
2015-27
|
11 |
+
2015-32
|
12 |
+
2015-35
|
13 |
+
2015-40
|
14 |
+
2015-48
|
15 |
+
2016-07
|
16 |
+
2016-18
|
17 |
+
2016-22
|
18 |
+
2016-26
|
19 |
+
2016-30
|
20 |
+
2016-36
|
21 |
+
2016-40
|
22 |
+
2016-44
|
23 |
+
2016-50
|
24 |
+
2017-04
|
25 |
+
2017-09
|
26 |
+
2017-17
|
27 |
+
2017-22
|
28 |
+
2017-26
|
29 |
+
2017-30
|
30 |
+
2017-34
|
31 |
+
2017-39
|
32 |
+
2017-43
|
33 |
+
2017-47
|
34 |
+
2017-51
|
35 |
+
2018-05
|
36 |
+
2018-09
|
37 |
+
2018-13
|
38 |
+
2018-17
|
39 |
+
2018-22
|
40 |
+
2018-26
|
41 |
+
2018-30
|
42 |
+
2018-34
|
43 |
+
2018-39
|
44 |
+
2018-43
|
45 |
+
2018-47
|
46 |
+
2018-51
|
47 |
+
2019-04
|
48 |
+
2019-09
|
49 |
+
2019-13
|
50 |
+
2019-18
|
51 |
+
2019-22
|
52 |
+
2019-26
|
53 |
+
2019-30
|
54 |
+
2019-35
|
55 |
+
2019-39
|
56 |
+
2019-43
|
57 |
+
2019-47
|
58 |
+
2019-51
|
59 |
+
2020-05
|
60 |
+
2020-10
|
61 |
+
2020-16
|
62 |
+
2020-24
|
63 |
+
2020-29
|
64 |
+
2020-34
|
65 |
+
2020-40
|
66 |
+
2020-45
|
67 |
+
2020-50
|
68 |
+
2021-04
|
69 |
+
2021-10
|
70 |
+
2021-17
|
71 |
+
2021-21
|
72 |
+
2021-25
|
73 |
+
2021-31
|
74 |
+
2021-39
|
75 |
+
2021-43
|
76 |
+
2021-49
|
77 |
+
2022-05
|
78 |
+
2022-21
|
79 |
+
2022-27
|
80 |
+
2022-33
|
81 |
+
2022-40
|
82 |
+
2022-49
|
83 |
+
2023-06
|
84 |
+
2023-14
|
_QUALITY_SIGNAL_TAGS
ADDED
@@ -0,0 +1,42 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
ccnet_length
|
2 |
+
ccnet_original_length
|
3 |
+
ccnet_nlines
|
4 |
+
ccnet_original_nlines
|
5 |
+
ccnet_language_score
|
6 |
+
ccnet_perplexity
|
7 |
+
ccnet_bucket
|
8 |
+
rps_doc_curly_bracket
|
9 |
+
rps_doc_ldnoobw_words
|
10 |
+
rps_doc_lorem_ipsum
|
11 |
+
rps_doc_stop_word_fraction
|
12 |
+
rps_doc_ut1_blacklist
|
13 |
+
rps_doc_frac_all_caps_words
|
14 |
+
rps_doc_frac_lines_end_with_ellipsis
|
15 |
+
rps_doc_frac_no_alph_words
|
16 |
+
rps_doc_frac_unique_words
|
17 |
+
rps_doc_mean_word_length
|
18 |
+
rps_doc_symbol_to_word_ratio
|
19 |
+
rps_doc_unigram_entropy
|
20 |
+
rps_doc_word_count
|
21 |
+
rps_num_sentences
|
22 |
+
rps_doc_frac_chars_dupe_10grams
|
23 |
+
rps_doc_frac_chars_dupe_5grams
|
24 |
+
rps_doc_frac_chars_dupe_6grams
|
25 |
+
rps_doc_frac_chars_dupe_7grams
|
26 |
+
rps_doc_frac_chars_dupe_8grams
|
27 |
+
rps_doc_frac_chars_dupe_9grams
|
28 |
+
rps_doc_frac_chars_top_2gram
|
29 |
+
rps_doc_frac_chars_top_3gram
|
30 |
+
rps_doc_frac_chars_top_4gram
|
31 |
+
rps_lines_ending_with_terminal_punctution_mark
|
32 |
+
rps_lines_javascript_counts
|
33 |
+
rps_lines_num_words
|
34 |
+
rps_lines_numerical_chars_fraction
|
35 |
+
rps_lines_start_with_bulletpoint
|
36 |
+
rps_lines_uppercase_letter_fraction
|
37 |
+
rps_doc_ml_palm_score
|
38 |
+
rps_doc_ml_wikipedia_score
|
39 |
+
rps_doc_ml_wikiref_score
|
40 |
+
rps_doc_books_importance
|
41 |
+
rps_doc_openwebtext_importance
|
42 |
+
rps_doc_wikipedia_importance
|