Datasets:
input_values
sequence | input_length
int64 29.2k
173k
| labels
sequence |
|---|---|---|
[-0.00003078011650359258,-0.00003078013833146542,-0.00003078029112657532,-0.00003078044028370641,-0.(...TRUNCATED) | 115,200 | [18,9,4,4,9,3,11,0,13,1,20,1,0,1,0,1,2,2,15,20,20,0,25,0,16,18,15,3,5,4,5,0,1,0,2,21,19,3,1,18,0,15,(...TRUNCATED) |
[0.0002741164935287088,0.0002741184725891799,0.00027413383941166103,0.00027411451446823776,0.0002741(...TRUNCATED) | 93,696 | [13,21,3,8,15,19,0,19,5,14,1,4,15,18,5,19,0,8,1,14,0,19,9,4,15,0,16,15,19,20,5,18,9,15,18,13,5,14,20(...TRUNCATED) |
[-0.0000561350243515335,-0.000056134933402063325,-0.00005613475514110178,-0.00005613601388176903,-0.(...TRUNCATED) | 70,272 | [
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[-0.0003609921259339899,-0.000360991049092263,-0.00036099119461141527,-0.0003609923005569726,-0.0003(...TRUNCATED) | 81,024 | [5,12,0,20,5,18,3,5,18,0,16,9,19,15,0,5,19,20,1,2,1,0,4,5,4,9,3,1,4,15,0,1,0,15,6,9,3,9,14,1,19,0,25(...TRUNCATED) |
[0.0008666776120662689,0.0008666772046126425,0.0008666763314977288,0.0008666757494211197,0.000866676(...TRUNCATED) | 75,264 | [16,1,18,5,3,5,0,13,21,25,0,16,15,3,15,0,16,18,15,2,1,2,12,5,0,17,21,5,0,5,12,0,7,18,1,14,0,3,1,14,1(...TRUNCATED) |
[-0.0002657424483913928,-0.0002657415752764791,-0.00026574169169180095,-0.0002657405857462436,-0.000(...TRUNCATED) | 77,184 | [5,14,0,15,3,1,19,9,15,14,5,19,0,15,6,18,5,3,5,0,5,24,16,15,19,9,3,9,15,14,5,19,0,20,5,13,16,15,18,1(...TRUNCATED) |
[0.00022266806627158076,0.00022266776068136096,0.00022266930318437517,0.00022266899759415537,0.00022(...TRUNCATED) | 71,424 | [5,14,0,19,21,0,1,21,19,5,14,3,9,1,0,15,13,5,18,0,6,21,5,0,16,12,1,14,20,5,1,4,1,0,16,15,18,0,5,12,0(...TRUNCATED) |
[-0.00009181853238260373,-0.00009181952191283926,-0.00009181919449474663,-0.00009181864879792556,-0.(...TRUNCATED) | 70,656 | [5,14,0,18,1,4,9,15,0,3,15,14,4,21,3,5,0,5,12,0,16,18,15,7,18,1,13,1,0,12,1,0,7,1,12,12,9,14,1,0,22,(...TRUNCATED) |
[-0.0000810584460850805,-0.00008105800225166604,-0.00008105822053039446,-0.00008105774031719193,-0.0(...TRUNCATED) | 81,792 | [19,5,0,20,18,1,20,1,0,4,5,0,21,14,0,19,9,19,20,5,13,1,0,15,16,21,5,19,20,15,0,1,12,0,19,21,6,18,1,7(...TRUNCATED) |
[0.0005643845652230084,0.0005643842741847038,0.0005643845652230084,0.000564384798053652,0.0005643843(...TRUNCATED) | 43,392 | [
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Common Voice 13.0 - Wav2Vec2 Preprocessed
Basically took Common Voice 13.0, removed all languages
but English and Spanish, removed all splits but train and test, then
preprocessed data just as this tutorial for training
Wav2Vec2 model for speech-recognition. Uploaded with push_to_hub function.
For now, just available in Spanish. Use as follows:
from datasets import load_dataset
train_ds = load_dataset("cristibp11/common_voice_13_0_wav2vec2_preprocessed", "es", split="train")
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