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  ---
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- - config_name: CC-MAIN-2017-17
2797
- data_files:
2798
- - split: train
2799
- path: CC-MAIN-2017-17/train-*
2800
- - config_name: CC-MAIN-2017-22
2801
- data_files:
2802
- - split: train
2803
- path: CC-MAIN-2017-22/train-*
2804
- - config_name: CC-MAIN-2017-26
2805
- data_files:
2806
- - split: train
2807
- path: CC-MAIN-2017-26/train-*
2808
- - config_name: CC-MAIN-2017-30
2809
- data_files:
2810
- - split: train
2811
- path: CC-MAIN-2017-30/train-*
2812
- - config_name: CC-MAIN-2017-34
2813
- data_files:
2814
- - split: train
2815
- path: CC-MAIN-2017-34/train-*
2816
- - config_name: CC-MAIN-2017-39
2817
- data_files:
2818
- - split: train
2819
- path: CC-MAIN-2017-39/train-*
2820
- - config_name: CC-MAIN-2017-43
2821
- data_files:
2822
- - split: train
2823
- path: CC-MAIN-2017-43/train-*
2824
- - config_name: CC-MAIN-2017-47
2825
- data_files:
2826
- - split: train
2827
- path: CC-MAIN-2017-47/train-*
2828
- - config_name: CC-MAIN-2017-51
2829
- data_files:
2830
- - split: train
2831
- path: CC-MAIN-2017-51/train-*
2832
- - config_name: CC-MAIN-2018-05
2833
- data_files:
2834
- - split: train
2835
- path: CC-MAIN-2018-05/train-*
2836
- - config_name: CC-MAIN-2018-09
2837
- data_files:
2838
- - split: train
2839
- path: CC-MAIN-2018-09/train-*
2840
- - config_name: CC-MAIN-2018-13
2841
- data_files:
2842
- - split: train
2843
- path: CC-MAIN-2018-13/train-*
2844
- - config_name: CC-MAIN-2018-17
2845
- data_files:
2846
- - split: train
2847
- path: CC-MAIN-2018-17/train-*
2848
- - config_name: CC-MAIN-2018-22
2849
- data_files:
2850
- - split: train
2851
- path: CC-MAIN-2018-22/train-*
2852
- - config_name: CC-MAIN-2018-26
2853
- data_files:
2854
- - split: train
2855
- path: CC-MAIN-2018-26/train-*
2856
- - config_name: CC-MAIN-2018-30
2857
- data_files:
2858
- - split: train
2859
- path: CC-MAIN-2018-30/train-*
2860
- - config_name: CC-MAIN-2018-34
2861
- data_files:
2862
- - split: train
2863
- path: CC-MAIN-2018-34/train-*
2864
- - config_name: CC-MAIN-2018-39
2865
- data_files:
2866
- - split: train
2867
- path: CC-MAIN-2018-39/train-*
2868
- - config_name: CC-MAIN-2018-43
2869
- data_files:
2870
- - split: train
2871
- path: CC-MAIN-2018-43/train-*
2872
- - config_name: CC-MAIN-2018-47
2873
- data_files:
2874
- - split: train
2875
- path: CC-MAIN-2018-47/train-*
2876
- - config_name: CC-MAIN-2018-51
2877
- data_files:
2878
- - split: train
2879
- path: CC-MAIN-2018-51/train-*
2880
- - config_name: CC-MAIN-2019-04
2881
- data_files:
2882
- - split: train
2883
- path: CC-MAIN-2019-04/train-*
2884
- - config_name: CC-MAIN-2019-09
2885
- data_files:
2886
- - split: train
2887
- path: CC-MAIN-2019-09/train-*
2888
- - config_name: CC-MAIN-2019-13
2889
- data_files:
2890
- - split: train
2891
- path: CC-MAIN-2019-13/train-*
2892
- - config_name: CC-MAIN-2019-18
2893
- data_files:
2894
- - split: train
2895
- path: CC-MAIN-2019-18/train-*
2896
- - config_name: CC-MAIN-2019-22
2897
- data_files:
2898
- - split: train
2899
- path: CC-MAIN-2019-22/train-*
2900
- - config_name: CC-MAIN-2019-26
2901
- data_files:
2902
- - split: train
2903
- path: CC-MAIN-2019-26/train-*
2904
- - config_name: CC-MAIN-2019-30
2905
- data_files:
2906
- - split: train
2907
- path: CC-MAIN-2019-30/train-*
2908
- - config_name: CC-MAIN-2019-35
2909
- data_files:
2910
- - split: train
2911
- path: CC-MAIN-2019-35/train-*
2912
- - config_name: CC-MAIN-2019-39
2913
- data_files:
2914
- - split: train
2915
- path: CC-MAIN-2019-39/train-*
2916
- - config_name: CC-MAIN-2019-43
2917
- data_files:
2918
- - split: train
2919
- path: CC-MAIN-2019-43/train-*
2920
- - config_name: CC-MAIN-2019-47
2921
- data_files:
2922
- - split: train
2923
- path: CC-MAIN-2019-47/train-*
2924
- - config_name: CC-MAIN-2019-51
2925
- data_files:
2926
- - split: train
2927
- path: CC-MAIN-2019-51/train-*
2928
- - config_name: CC-MAIN-2020-05
2929
- data_files:
2930
- - split: train
2931
- path: CC-MAIN-2020-05/train-*
2932
- - config_name: CC-MAIN-2020-10
2933
- data_files:
2934
- - split: train
2935
- path: CC-MAIN-2020-10/train-*
2936
- - config_name: CC-MAIN-2020-16
2937
- data_files:
2938
- - split: train
2939
- path: CC-MAIN-2020-16/train-*
2940
- - config_name: CC-MAIN-2020-24
2941
- data_files:
2942
- - split: train
2943
- path: CC-MAIN-2020-24/train-*
2944
- - config_name: CC-MAIN-2020-29
2945
- data_files:
2946
- - split: train
2947
- path: CC-MAIN-2020-29/train-*
2948
- - config_name: CC-MAIN-2020-34
2949
- data_files:
2950
- - split: train
2951
- path: CC-MAIN-2020-34/train-*
2952
- - config_name: CC-MAIN-2020-40
2953
- data_files:
2954
- - split: train
2955
- path: CC-MAIN-2020-40/train-*
2956
- - config_name: CC-MAIN-2020-45
2957
- data_files:
2958
- - split: train
2959
- path: CC-MAIN-2020-45/train-*
2960
- - config_name: CC-MAIN-2020-50
2961
- data_files:
2962
- - split: train
2963
- path: CC-MAIN-2020-50/train-*
2964
- - config_name: CC-MAIN-2021-04
2965
- data_files:
2966
- - split: train
2967
- path: CC-MAIN-2021-04/train-*
2968
- - config_name: CC-MAIN-2021-10
2969
- data_files:
2970
- - split: train
2971
- path: CC-MAIN-2021-10/train-*
2972
- - config_name: CC-MAIN-2021-17
2973
- data_files:
2974
- - split: train
2975
- path: CC-MAIN-2021-17/train-*
2976
- - config_name: CC-MAIN-2021-21
2977
- data_files:
2978
- - split: train
2979
- path: CC-MAIN-2021-21/train-*
2980
- - config_name: CC-MAIN-2021-25
2981
- data_files:
2982
- - split: train
2983
- path: CC-MAIN-2021-25/train-*
2984
- - config_name: CC-MAIN-2021-31
2985
- data_files:
2986
- - split: train
2987
- path: CC-MAIN-2021-31/train-*
2988
- - config_name: CC-MAIN-2021-39
2989
- data_files:
2990
- - split: train
2991
- path: CC-MAIN-2021-39/train-*
2992
- - config_name: CC-MAIN-2021-43
2993
- data_files:
2994
- - split: train
2995
- path: CC-MAIN-2021-43/train-*
2996
- - config_name: CC-MAIN-2021-49
2997
- data_files:
2998
- - split: train
2999
- path: CC-MAIN-2021-49/train-*
3000
- - config_name: CC-MAIN-2022-05
3001
- data_files:
3002
- - split: train
3003
- path: CC-MAIN-2022-05/train-*
3004
- - config_name: CC-MAIN-2022-21
3005
- data_files:
3006
- - split: train
3007
- path: CC-MAIN-2022-21/train-*
3008
- - config_name: CC-MAIN-2022-27
3009
- data_files:
3010
- - split: train
3011
- path: CC-MAIN-2022-27/train-*
3012
- - config_name: CC-MAIN-2022-33
3013
- data_files:
3014
- - split: train
3015
- path: CC-MAIN-2022-33/train-*
3016
- - config_name: CC-MAIN-2022-40
3017
- data_files:
3018
- - split: train
3019
- path: CC-MAIN-2022-40/train-*
3020
- - config_name: CC-MAIN-2022-49
3021
- data_files:
3022
- - split: train
3023
- path: CC-MAIN-2022-49/train-*
3024
- - config_name: CC-MAIN-2023-06
3025
- data_files:
3026
- - split: train
3027
- path: CC-MAIN-2023-06/train-*
3028
- - config_name: CC-MAIN-2023-14
3029
- data_files:
3030
- - split: train
3031
- path: CC-MAIN-2023-14/train-*
3032
- - config_name: CC-MAIN-2023-23
3033
- data_files:
3034
- - split: train
3035
- path: CC-MAIN-2023-23/train-*
3036
- - config_name: CC-MAIN-2023-40
3037
- data_files:
3038
- - split: train
3039
- path: CC-MAIN-2023-40/train-*
3040
- - config_name: CC-MAIN-2023-50
3041
- data_files:
3042
- - split: train
3043
- path: CC-MAIN-2023-50/train-*
3044
- - config_name: CC-MAIN-2024-10
3045
- data_files:
3046
- - split: train
3047
- path: CC-MAIN-2024-10/train-*
3048
  license: odc-by
3049
  task_categories:
3050
- - text-generation
3051
  language:
3052
- - en
 
3053
  size_categories:
3054
- - n>1T
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
3055
  ---
3056
 
3057
  # πŸ“š FineWeb-Edu
@@ -3063,7 +415,7 @@ size_categories:
3063
 
3064
  ## What is it?
3065
 
3066
- πŸ“š FineWeb-Edu dataset consists of **1.2T tokens** and **4.5T tokens** ([FineWeb-Edu -Large](https://huggingface.co/datasets/HuggingFaceFW/fineweb-edu-large)) of educational web pages filtered from 🍷 FineWeb dataset. This is the 1.2 trillion version.
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-100BT`: a subset randomly sampled from the whole dataset of around 100B gpt2 tokens (277.4GB)
3082
- - `sample-10BT`: a subset randomly sampled from the whole dataset of around 10B gpt2 tokens (27.6GB)
 
3083
 
3084
- `sample-10B` was sampled from `sample-100B` which in turn was sampled from `sample-350BT`.
3085
- B` was sampled from `sample-100B` which in turn was sampled from `sample-350BT`.
3086
 
3087
  ### Using 🏭 [`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="**/*.parquet", limit=1000)
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():
 
1
  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
  # πŸ“š FineWeb-Edu
 
415
 
416
  ## What is it?
417
 
418
+ πŸ“š 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 🍷 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 🏭 [`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():