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README.md
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dataset_info:
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3055 |
---
|
3056 |
|
3057 |
# π FineWeb-Edu
|
@@ -3063,7 +415,7 @@ size_categories:
|
|
3063 |
|
3064 |
## What is it?
|
3065 |
|
3066 |
-
π FineWeb-Edu dataset consists of **1.
|
3067 |
|
3068 |
To enhance FineWeb's quality, we developed an [educational quality classifier](https://huggingface.co/HuggingFaceFW/fineweb-edu-classifier) using annotations generated by LLama3-70B-Instruct. We then used this classifier to retain only the most educational web pages. FineWeb-Edu outperforms FineWeb on popular benchmarks and shows the power of classifiers trained on synthetic data.
|
3069 |
|
@@ -3078,11 +430,11 @@ Similarily to FineWeb, You can load the full dataset or a specific crawl/dump. D
|
|
3078 |
|
3079 |
### (Smaller) sample versions TODO
|
3080 |
Along with config `default` (all the data), and the configs for each individual dump, you can also download the following configs:
|
3081 |
-
- `sample-
|
3082 |
-
- `sample-
|
|
|
3083 |
|
3084 |
-
`sample-
|
3085 |
-
B` was sampled from `sample-100B` which in turn was sampled from `sample-350BT`.
|
3086 |
|
3087 |
### Using π [`datatrove`](https://github.com/huggingface/datatrove/)
|
3088 |
|
@@ -3090,7 +442,7 @@ B` was sampled from `sample-100B` which in turn was sampled from `sample-350BT`.
|
|
3090 |
from datatrove.pipeline.readers import ParquetReader
|
3091 |
|
3092 |
# limit determines how many documents will be streamed (remove for all)
|
3093 |
-
data_reader = ParquetReader("hf://datasets/HuggingFaceFW/fineweb-edu", glob_pattern="
|
3094 |
# or to fetch a specific dump CC-MAIN-2024-10, eplace "CC-MAIN-2024-10" with "sample/100BT" to use the 100BT sample
|
3095 |
data_reader = ParquetReader("hf://datasets/HuggingFaceFW/fineweb-edu/CC-MAIN-2024-10", limit=1000)
|
3096 |
for document in data_reader():
|
|
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1 |
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|
2 |
license: odc-by
|
3 |
task_categories:
|
4 |
+
- text-generation
|
5 |
language:
|
6 |
+
- en
|
7 |
+
pretty_name: FineWeb-Edu
|
8 |
size_categories:
|
9 |
+
- n>1T
|
10 |
+
configs:
|
11 |
+
- config_name: default
|
12 |
+
data_files:
|
13 |
+
- split: train
|
14 |
+
path: data/*/*
|
15 |
+
- config_name: sample-10BT
|
16 |
+
data_files:
|
17 |
+
- split: train
|
18 |
+
path: sample/10BT/*
|
19 |
+
- config_name: sample-100BT
|
20 |
+
data_files:
|
21 |
+
- split: train
|
22 |
+
path: sample/100BT/*
|
23 |
+
- config_name: sample-350BT
|
24 |
+
data_files:
|
25 |
+
- split: train
|
26 |
+
path: sample/350BT/*
|
27 |
+
- config_name: CC-MAIN-2024-10
|
28 |
+
data_files:
|
29 |
+
- split: train
|
30 |
+
path: data/CC-MAIN-2024-10/*
|
31 |
+
- config_name: CC-MAIN-2023-50
|
32 |
+
data_files:
|
33 |
+
- split: train
|
34 |
+
path: data/CC-MAIN-2023-50/*
|
35 |
+
- config_name: CC-MAIN-2023-40
|
36 |
+
data_files:
|
37 |
+
- split: train
|
38 |
+
path: data/CC-MAIN-2023-40/*
|
39 |
+
- config_name: CC-MAIN-2023-23
|
40 |
+
data_files:
|
41 |
+
- split: train
|
42 |
+
path: data/CC-MAIN-2023-23/*
|
43 |
+
- config_name: CC-MAIN-2023-14
|
44 |
+
data_files:
|
45 |
+
- split: train
|
46 |
+
path: data/CC-MAIN-2023-14/*
|
47 |
+
- config_name: CC-MAIN-2023-06
|
48 |
+
data_files:
|
49 |
+
- split: train
|
50 |
+
path: data/CC-MAIN-2023-06/*
|
51 |
+
- config_name: CC-MAIN-2022-49
|
52 |
+
data_files:
|
53 |
+
- split: train
|
54 |
+
path: data/CC-MAIN-2022-49/*
|
55 |
+
- config_name: CC-MAIN-2022-40
|
56 |
+
data_files:
|
57 |
+
- split: train
|
58 |
+
path: data/CC-MAIN-2022-40/*
|
59 |
+
- config_name: CC-MAIN-2022-33
|
60 |
+
data_files:
|
61 |
+
- split: train
|
62 |
+
path: data/CC-MAIN-2022-33/*
|
63 |
+
- config_name: CC-MAIN-2022-27
|
64 |
+
data_files:
|
65 |
+
- split: train
|
66 |
+
path: data/CC-MAIN-2022-27/*
|
67 |
+
- config_name: CC-MAIN-2022-21
|
68 |
+
data_files:
|
69 |
+
- split: train
|
70 |
+
path: data/CC-MAIN-2022-21/*
|
71 |
+
- config_name: CC-MAIN-2022-05
|
72 |
+
data_files:
|
73 |
+
- split: train
|
74 |
+
path: data/CC-MAIN-2022-05/*
|
75 |
+
- config_name: CC-MAIN-2021-49
|
76 |
+
data_files:
|
77 |
+
- split: train
|
78 |
+
path: data/CC-MAIN-2021-49/*
|
79 |
+
- config_name: CC-MAIN-2021-43
|
80 |
+
data_files:
|
81 |
+
- split: train
|
82 |
+
path: data/CC-MAIN-2021-43/*
|
83 |
+
- config_name: CC-MAIN-2021-39
|
84 |
+
data_files:
|
85 |
+
- split: train
|
86 |
+
path: data/CC-MAIN-2021-39/*
|
87 |
+
- config_name: CC-MAIN-2021-31
|
88 |
+
data_files:
|
89 |
+
- split: train
|
90 |
+
path: data/CC-MAIN-2021-31/*
|
91 |
+
- config_name: CC-MAIN-2021-25
|
92 |
+
data_files:
|
93 |
+
- split: train
|
94 |
+
path: data/CC-MAIN-2021-25/*
|
95 |
+
- config_name: CC-MAIN-2021-21
|
96 |
+
data_files:
|
97 |
+
- split: train
|
98 |
+
path: data/CC-MAIN-2021-21/*
|
99 |
+
- config_name: CC-MAIN-2021-17
|
100 |
+
data_files:
|
101 |
+
- split: train
|
102 |
+
path: data/CC-MAIN-2021-17/*
|
103 |
+
- config_name: CC-MAIN-2021-10
|
104 |
+
data_files:
|
105 |
+
- split: train
|
106 |
+
path: data/CC-MAIN-2021-10/*
|
107 |
+
- config_name: CC-MAIN-2021-04
|
108 |
+
data_files:
|
109 |
+
- split: train
|
110 |
+
path: data/CC-MAIN-2021-04/*
|
111 |
+
- config_name: CC-MAIN-2020-50
|
112 |
+
data_files:
|
113 |
+
- split: train
|
114 |
+
path: data/CC-MAIN-2020-50/*
|
115 |
+
- config_name: CC-MAIN-2020-45
|
116 |
+
data_files:
|
117 |
+
- split: train
|
118 |
+
path: data/CC-MAIN-2020-45/*
|
119 |
+
- config_name: CC-MAIN-2020-40
|
120 |
+
data_files:
|
121 |
+
- split: train
|
122 |
+
path: data/CC-MAIN-2020-40/*
|
123 |
+
- config_name: CC-MAIN-2020-34
|
124 |
+
data_files:
|
125 |
+
- split: train
|
126 |
+
path: data/CC-MAIN-2020-34/*
|
127 |
+
- config_name: CC-MAIN-2020-29
|
128 |
+
data_files:
|
129 |
+
- split: train
|
130 |
+
path: data/CC-MAIN-2020-29/*
|
131 |
+
- config_name: CC-MAIN-2020-24
|
132 |
+
data_files:
|
133 |
+
- split: train
|
134 |
+
path: data/CC-MAIN-2020-24/*
|
135 |
+
- config_name: CC-MAIN-2020-16
|
136 |
+
data_files:
|
137 |
+
- split: train
|
138 |
+
path: data/CC-MAIN-2020-16/*
|
139 |
+
- config_name: CC-MAIN-2020-10
|
140 |
+
data_files:
|
141 |
+
- split: train
|
142 |
+
path: data/CC-MAIN-2020-10/*
|
143 |
+
- config_name: CC-MAIN-2020-05
|
144 |
+
data_files:
|
145 |
+
- split: train
|
146 |
+
path: data/CC-MAIN-2020-05/*
|
147 |
+
- config_name: CC-MAIN-2019-51
|
148 |
+
data_files:
|
149 |
+
- split: train
|
150 |
+
path: data/CC-MAIN-2019-51/*
|
151 |
+
- config_name: CC-MAIN-2019-47
|
152 |
+
data_files:
|
153 |
+
- split: train
|
154 |
+
path: data/CC-MAIN-2019-47/*
|
155 |
+
- config_name: CC-MAIN-2019-43
|
156 |
+
data_files:
|
157 |
+
- split: train
|
158 |
+
path: data/CC-MAIN-2019-43/*
|
159 |
+
- config_name: CC-MAIN-2019-39
|
160 |
+
data_files:
|
161 |
+
- split: train
|
162 |
+
path: data/CC-MAIN-2019-39/*
|
163 |
+
- config_name: CC-MAIN-2019-35
|
164 |
+
data_files:
|
165 |
+
- split: train
|
166 |
+
path: data/CC-MAIN-2019-35/*
|
167 |
+
- config_name: CC-MAIN-2019-30
|
168 |
+
data_files:
|
169 |
+
- split: train
|
170 |
+
path: data/CC-MAIN-2019-30/*
|
171 |
+
- config_name: CC-MAIN-2019-26
|
172 |
+
data_files:
|
173 |
+
- split: train
|
174 |
+
path: data/CC-MAIN-2019-26/*
|
175 |
+
- config_name: CC-MAIN-2019-22
|
176 |
+
data_files:
|
177 |
+
- split: train
|
178 |
+
path: data/CC-MAIN-2019-22/*
|
179 |
+
- config_name: CC-MAIN-2019-18
|
180 |
+
data_files:
|
181 |
+
- split: train
|
182 |
+
path: data/CC-MAIN-2019-18/*
|
183 |
+
- config_name: CC-MAIN-2019-13
|
184 |
+
data_files:
|
185 |
+
- split: train
|
186 |
+
path: data/CC-MAIN-2019-13/*
|
187 |
+
- config_name: CC-MAIN-2019-09
|
188 |
+
data_files:
|
189 |
+
- split: train
|
190 |
+
path: data/CC-MAIN-2019-09/*
|
191 |
+
- config_name: CC-MAIN-2019-04
|
192 |
+
data_files:
|
193 |
+
- split: train
|
194 |
+
path: data/CC-MAIN-2019-04/*
|
195 |
+
- config_name: CC-MAIN-2018-51
|
196 |
+
data_files:
|
197 |
+
- split: train
|
198 |
+
path: data/CC-MAIN-2018-51/*
|
199 |
+
- config_name: CC-MAIN-2018-47
|
200 |
+
data_files:
|
201 |
+
- split: train
|
202 |
+
path: data/CC-MAIN-2018-47/*
|
203 |
+
- config_name: CC-MAIN-2018-43
|
204 |
+
data_files:
|
205 |
+
- split: train
|
206 |
+
path: data/CC-MAIN-2018-43/*
|
207 |
+
- config_name: CC-MAIN-2018-39
|
208 |
+
data_files:
|
209 |
+
- split: train
|
210 |
+
path: data/CC-MAIN-2018-39/*
|
211 |
+
- config_name: CC-MAIN-2018-34
|
212 |
+
data_files:
|
213 |
+
- split: train
|
214 |
+
path: data/CC-MAIN-2018-34/*
|
215 |
+
- config_name: CC-MAIN-2018-30
|
216 |
+
data_files:
|
217 |
+
- split: train
|
218 |
+
path: data/CC-MAIN-2018-30/*
|
219 |
+
- config_name: CC-MAIN-2018-26
|
220 |
+
data_files:
|
221 |
+
- split: train
|
222 |
+
path: data/CC-MAIN-2018-26/*
|
223 |
+
- config_name: CC-MAIN-2018-22
|
224 |
+
data_files:
|
225 |
+
- split: train
|
226 |
+
path: data/CC-MAIN-2018-22/*
|
227 |
+
- config_name: CC-MAIN-2018-17
|
228 |
+
data_files:
|
229 |
+
- split: train
|
230 |
+
path: data/CC-MAIN-2018-17/*
|
231 |
+
- config_name: CC-MAIN-2018-13
|
232 |
+
data_files:
|
233 |
+
- split: train
|
234 |
+
path: data/CC-MAIN-2018-13/*
|
235 |
+
- config_name: CC-MAIN-2018-09
|
236 |
+
data_files:
|
237 |
+
- split: train
|
238 |
+
path: data/CC-MAIN-2018-09/*
|
239 |
+
- config_name: CC-MAIN-2018-05
|
240 |
+
data_files:
|
241 |
+
- split: train
|
242 |
+
path: data/CC-MAIN-2018-05/*
|
243 |
+
- config_name: CC-MAIN-2017-51
|
244 |
+
data_files:
|
245 |
+
- split: train
|
246 |
+
path: data/CC-MAIN-2017-51/*
|
247 |
+
- config_name: CC-MAIN-2017-47
|
248 |
+
data_files:
|
249 |
+
- split: train
|
250 |
+
path: data/CC-MAIN-2017-47/*
|
251 |
+
- config_name: CC-MAIN-2017-43
|
252 |
+
data_files:
|
253 |
+
- split: train
|
254 |
+
path: data/CC-MAIN-2017-43/*
|
255 |
+
- config_name: CC-MAIN-2017-39
|
256 |
+
data_files:
|
257 |
+
- split: train
|
258 |
+
path: data/CC-MAIN-2017-39/*
|
259 |
+
- config_name: CC-MAIN-2017-34
|
260 |
+
data_files:
|
261 |
+
- split: train
|
262 |
+
path: data/CC-MAIN-2017-34/*
|
263 |
+
- config_name: CC-MAIN-2017-30
|
264 |
+
data_files:
|
265 |
+
- split: train
|
266 |
+
path: data/CC-MAIN-2017-30/*
|
267 |
+
- config_name: CC-MAIN-2017-26
|
268 |
+
data_files:
|
269 |
+
- split: train
|
270 |
+
path: data/CC-MAIN-2017-26/*
|
271 |
+
- config_name: CC-MAIN-2017-22
|
272 |
+
data_files:
|
273 |
+
- split: train
|
274 |
+
path: data/CC-MAIN-2017-22/*
|
275 |
+
- config_name: CC-MAIN-2017-17
|
276 |
+
data_files:
|
277 |
+
- split: train
|
278 |
+
path: data/CC-MAIN-2017-17/*
|
279 |
+
- config_name: CC-MAIN-2017-13
|
280 |
+
data_files:
|
281 |
+
- split: train
|
282 |
+
path: data/CC-MAIN-2017-13/*
|
283 |
+
- config_name: CC-MAIN-2017-09
|
284 |
+
data_files:
|
285 |
+
- split: train
|
286 |
+
path: data/CC-MAIN-2017-09/*
|
287 |
+
- config_name: CC-MAIN-2017-04
|
288 |
+
data_files:
|
289 |
+
- split: train
|
290 |
+
path: data/CC-MAIN-2017-04/*
|
291 |
+
- config_name: CC-MAIN-2016-50
|
292 |
+
data_files:
|
293 |
+
- split: train
|
294 |
+
path: data/CC-MAIN-2016-50/*
|
295 |
+
- config_name: CC-MAIN-2016-44
|
296 |
+
data_files:
|
297 |
+
- split: train
|
298 |
+
path: data/CC-MAIN-2016-44/*
|
299 |
+
- config_name: CC-MAIN-2016-40
|
300 |
+
data_files:
|
301 |
+
- split: train
|
302 |
+
path: data/CC-MAIN-2016-40/*
|
303 |
+
- config_name: CC-MAIN-2016-36
|
304 |
+
data_files:
|
305 |
+
- split: train
|
306 |
+
path: data/CC-MAIN-2016-36/*
|
307 |
+
- config_name: CC-MAIN-2016-30
|
308 |
+
data_files:
|
309 |
+
- split: train
|
310 |
+
path: data/CC-MAIN-2016-30/*
|
311 |
+
- config_name: CC-MAIN-2016-26
|
312 |
+
data_files:
|
313 |
+
- split: train
|
314 |
+
path: data/CC-MAIN-2016-26/*
|
315 |
+
- config_name: CC-MAIN-2016-22
|
316 |
+
data_files:
|
317 |
+
- split: train
|
318 |
+
path: data/CC-MAIN-2016-22/*
|
319 |
+
- config_name: CC-MAIN-2016-18
|
320 |
+
data_files:
|
321 |
+
- split: train
|
322 |
+
path: data/CC-MAIN-2016-18/*
|
323 |
+
- config_name: CC-MAIN-2016-07
|
324 |
+
data_files:
|
325 |
+
- split: train
|
326 |
+
path: data/CC-MAIN-2016-07/*
|
327 |
+
- config_name: CC-MAIN-2015-48
|
328 |
+
data_files:
|
329 |
+
- split: train
|
330 |
+
path: data/CC-MAIN-2015-48/*
|
331 |
+
- config_name: CC-MAIN-2015-40
|
332 |
+
data_files:
|
333 |
+
- split: train
|
334 |
+
path: data/CC-MAIN-2015-40/*
|
335 |
+
- config_name: CC-MAIN-2015-35
|
336 |
+
data_files:
|
337 |
+
- split: train
|
338 |
+
path: data/CC-MAIN-2015-35/*
|
339 |
+
- config_name: CC-MAIN-2015-32
|
340 |
+
data_files:
|
341 |
+
- split: train
|
342 |
+
path: data/CC-MAIN-2015-32/*
|
343 |
+
- config_name: CC-MAIN-2015-27
|
344 |
+
data_files:
|
345 |
+
- split: train
|
346 |
+
path: data/CC-MAIN-2015-27/*
|
347 |
+
- config_name: CC-MAIN-2015-22
|
348 |
+
data_files:
|
349 |
+
- split: train
|
350 |
+
path: data/CC-MAIN-2015-22/*
|
351 |
+
- config_name: CC-MAIN-2015-18
|
352 |
+
data_files:
|
353 |
+
- split: train
|
354 |
+
path: data/CC-MAIN-2015-18/*
|
355 |
+
- config_name: CC-MAIN-2015-14
|
356 |
+
data_files:
|
357 |
+
- split: train
|
358 |
+
path: data/CC-MAIN-2015-14/*
|
359 |
+
- config_name: CC-MAIN-2015-11
|
360 |
+
data_files:
|
361 |
+
- split: train
|
362 |
+
path: data/CC-MAIN-2015-11/*
|
363 |
+
- config_name: CC-MAIN-2015-06
|
364 |
+
data_files:
|
365 |
+
- split: train
|
366 |
+
path: data/CC-MAIN-2015-06/*
|
367 |
+
- config_name: CC-MAIN-2014-52
|
368 |
+
data_files:
|
369 |
+
- split: train
|
370 |
+
path: data/CC-MAIN-2014-52/*
|
371 |
+
- config_name: CC-MAIN-2014-49
|
372 |
+
data_files:
|
373 |
+
- split: train
|
374 |
+
path: data/CC-MAIN-2014-49/*
|
375 |
+
- config_name: CC-MAIN-2014-42
|
376 |
+
data_files:
|
377 |
+
- split: train
|
378 |
+
path: data/CC-MAIN-2014-42/*
|
379 |
+
- config_name: CC-MAIN-2014-41
|
380 |
+
data_files:
|
381 |
+
- split: train
|
382 |
+
path: data/CC-MAIN-2014-41/*
|
383 |
+
- config_name: CC-MAIN-2014-35
|
384 |
+
data_files:
|
385 |
+
- split: train
|
386 |
+
path: data/CC-MAIN-2014-35/*
|
387 |
+
- config_name: CC-MAIN-2014-23
|
388 |
+
data_files:
|
389 |
+
- split: train
|
390 |
+
path: data/CC-MAIN-2014-23/*
|
391 |
+
- config_name: CC-MAIN-2014-15
|
392 |
+
data_files:
|
393 |
+
- split: train
|
394 |
+
path: data/CC-MAIN-2014-15/*
|
395 |
+
- config_name: CC-MAIN-2014-10
|
396 |
+
data_files:
|
397 |
+
- split: train
|
398 |
+
path: data/CC-MAIN-2014-10/*
|
399 |
+
- config_name: CC-MAIN-2013-48
|
400 |
+
data_files:
|
401 |
+
- split: train
|
402 |
+
path: data/CC-MAIN-2013-48/*
|
403 |
+
- config_name: CC-MAIN-2013-20
|
404 |
+
data_files:
|
405 |
+
- split: train
|
406 |
+
path: data/CC-MAIN-2013-20/*
|
407 |
---
|
408 |
|
409 |
# π FineWeb-Edu
|
|
|
415 |
|
416 |
## What is it?
|
417 |
|
418 |
+
π FineWeb-Edu dataset consists of **1.3T tokens** and **5.4T tokens** ([FineWeb-Edu -Large](https://huggingface.co/datasets/HuggingFaceFW/fineweb-edu-large)) of educational web pages filtered from π· FineWeb dataset. This is the 1.2 trillion version.
|
419 |
|
420 |
To enhance FineWeb's quality, we developed an [educational quality classifier](https://huggingface.co/HuggingFaceFW/fineweb-edu-classifier) using annotations generated by LLama3-70B-Instruct. We then used this classifier to retain only the most educational web pages. FineWeb-Edu outperforms FineWeb on popular benchmarks and shows the power of classifiers trained on synthetic data.
|
421 |
|
|
|
430 |
|
431 |
### (Smaller) sample versions TODO
|
432 |
Along with config `default` (all the data), and the configs for each individual dump, you can also download the following configs:
|
433 |
+
- `sample-350BT`: a subset randomly sampled from the whole dataset of around 350B gpt2 tokens
|
434 |
+
- `sample-100BT`: a subset randomly sampled from the whole dataset of around 100B gpt2 tokens
|
435 |
+
- `sample-10BT`: a subset randomly sampled from the whole dataset of around 10B gpt2 tokens
|
436 |
|
437 |
+
`sample-10BT` was sampled from `sample-100BT` which in turn was sampled from `sample-350BT`.
|
|
|
438 |
|
439 |
### Using π [`datatrove`](https://github.com/huggingface/datatrove/)
|
440 |
|
|
|
442 |
from datatrove.pipeline.readers import ParquetReader
|
443 |
|
444 |
# limit determines how many documents will be streamed (remove for all)
|
445 |
+
data_reader = ParquetReader("hf://datasets/HuggingFaceFW/fineweb-edu", glob_pattern="data/*/*.parquet", limit=1000)
|
446 |
# or to fetch a specific dump CC-MAIN-2024-10, eplace "CC-MAIN-2024-10" with "sample/100BT" to use the 100BT sample
|
447 |
data_reader = ParquetReader("hf://datasets/HuggingFaceFW/fineweb-edu/CC-MAIN-2024-10", limit=1000)
|
448 |
for document in data_reader():
|