Search is not available for this dataset
w1 int32 1 149k | w2 int32 1 149k | date int64 20.3M 20.3M | n int64 1 1.75k |
|---|---|---|---|
1 | 1 | 20,260,702 | 1 |
1 | 1 | 20,260,705 | 1 |
1 | 1 | 20,260,715 | 2 |
1 | 1 | 20,260,718 | 2 |
1 | 1 | 20,260,722 | 1 |
1 | 1 | 20,260,729 | 1 |
1 | 1 | 20,260,730 | 1 |
1 | 1 | 20,260,803 | 2 |
1 | 1 | 20,260,908 | 1 |
1 | 1 | 20,260,915 | 1 |
1 | 2 | 20,260,626 | 1 |
1 | 2 | 20,260,627 | 2 |
1 | 2 | 20,260,628 | 1 |
1 | 2 | 20,260,629 | 2 |
1 | 2 | 20,260,630 | 2 |
1 | 2 | 20,260,701 | 2 |
1 | 2 | 20,260,702 | 2 |
1 | 2 | 20,260,703 | 3 |
1 | 2 | 20,260,712 | 1 |
1 | 2 | 20,260,727 | 1 |
1 | 2 | 20,260,729 | 1 |
1 | 2 | 20,260,802 | 3 |
1 | 2 | 20,260,803 | 2 |
1 | 2 | 20,260,804 | 1 |
1 | 2 | 20,260,805 | 1 |
1 | 2 | 20,260,808 | 1 |
1 | 2 | 20,260,811 | 1 |
1 | 2 | 20,260,812 | 2 |
1 | 2 | 20,260,815 | 3 |
1 | 2 | 20,260,816 | 1 |
1 | 3 | 20,260,709 | 1 |
1 | 3 | 20,260,711 | 1 |
1 | 3 | 20,260,718 | 1 |
1 | 3 | 20,260,729 | 1 |
1 | 3 | 20,260,813 | 1 |
1 | 3 | 20,260,907 | 2 |
1 | 3 | 20,260,908 | 1 |
1 | 3 | 20,260,910 | 3 |
1 | 3 | 20,260,911 | 3 |
1 | 3 | 20,260,912 | 5 |
1 | 3 | 20,260,913 | 6 |
1 | 3 | 20,260,914 | 1 |
1 | 3 | 20,260,915 | 2 |
1 | 3 | 20,260,916 | 2 |
1 | 3 | 20,260,917 | 2 |
1 | 3 | 20,260,918 | 3 |
1 | 3 | 20,260,919 | 2 |
1 | 3 | 20,260,920 | 3 |
1 | 3 | 20,260,921 | 1 |
1 | 3 | 20,260,922 | 2 |
1 | 3 | 20,260,924 | 3 |
1 | 12 | 20,260,626 | 5 |
1 | 12 | 20,260,627 | 11 |
1 | 12 | 20,260,628 | 3 |
1 | 12 | 20,260,629 | 7 |
1 | 12 | 20,260,630 | 10 |
1 | 12 | 20,260,701 | 7 |
1 | 12 | 20,260,702 | 4 |
1 | 12 | 20,260,703 | 8 |
1 | 12 | 20,260,704 | 7 |
1 | 12 | 20,260,705 | 5 |
1 | 12 | 20,260,708 | 3 |
1 | 12 | 20,260,709 | 3 |
1 | 12 | 20,260,710 | 4 |
1 | 12 | 20,260,711 | 4 |
1 | 12 | 20,260,712 | 8 |
1 | 12 | 20,260,713 | 6 |
1 | 12 | 20,260,714 | 7 |
1 | 12 | 20,260,715 | 21 |
1 | 12 | 20,260,716 | 3 |
1 | 12 | 20,260,717 | 10 |
1 | 12 | 20,260,718 | 4 |
1 | 12 | 20,260,719 | 2 |
1 | 12 | 20,260,720 | 7 |
1 | 12 | 20,260,721 | 18 |
1 | 12 | 20,260,722 | 10 |
1 | 12 | 20,260,723 | 5 |
1 | 12 | 20,260,724 | 3 |
1 | 12 | 20,260,725 | 2 |
1 | 12 | 20,260,726 | 12 |
1 | 12 | 20,260,727 | 11 |
1 | 12 | 20,260,728 | 6 |
1 | 12 | 20,260,729 | 13 |
1 | 12 | 20,260,730 | 5 |
1 | 12 | 20,260,731 | 2 |
1 | 12 | 20,260,801 | 7 |
1 | 12 | 20,260,802 | 2 |
1 | 12 | 20,260,803 | 4 |
1 | 12 | 20,260,804 | 6 |
1 | 12 | 20,260,805 | 4 |
1 | 12 | 20,260,806 | 2 |
1 | 12 | 20,260,807 | 7 |
1 | 12 | 20,260,808 | 12 |
1 | 12 | 20,260,809 | 5 |
1 | 12 | 20,260,810 | 6 |
1 | 12 | 20,260,811 | 9 |
1 | 12 | 20,260,812 | 2 |
1 | 12 | 20,260,813 | 7 |
1 | 12 | 20,260,814 | 9 |
1 | 12 | 20,260,815 | 10 |
End of preview. Expand in Data Studio
Gallicagram - n-grammes du corpus "cnews"
Tables n-grammes encodées en identifiants entiers (w1, w2, ...) ; le dictionnaire
est dans token (id, word). Les tables total_* donnent les effectifs totaux
pour normaliser les fréquences.
Exemple (DuckDB) :
SELECT t.word, u.annee, sum(u.n) AS n
FROM 'hf://datasets/Gallicagram/ngram-cnews/unigram/*.parquet' u
JOIN 'hf://datasets/Gallicagram/ngram-cnews/token/*.parquet' t ON t.id = u.w1
WHERE t.word = 'république'
GROUP BY ALL ORDER BY annee;
- Downloads last month
- 32