sjhuskey/enenlhet-wav2vec2-model
Automatic Speech Recognition
•
0.3B
•
Updated
Datasets:
Tasks:
Automatic Speech Recognition
Formats:
parquet
Languages:
Middle English (1100-1500)
Size:
1K - 10K
License:
Search is not available for this dataset
input_values
listlengths 32k
196k
| labels
listlengths 1
167
|
|---|---|
[0.08520913869142532,0.17012359201908112,0.15813997387886047,0.14507918059825897,0.07652465999126434(...TRUNCATED)
|
[
22,
22,
33,
17,
9,
33,
32,
10,
33,
18,
32,
10,
20,
18,
1,
33,
26,
18,
33,
10,
33,
1
] |
[-0.10241568833589554,-0.18533502519130707,-0.15795762836933136,-0.1717272698879242,-0.1637798547744(...TRUNCATED)
|
[
12,
33,
32,
10,
33,
1,
18,
20,
32,
10,
9,
20,
22,
26,
20,
4,
18,
20,
18,
1,
18,
28,
22,
22,
20,
1
] |
[-0.05968710407614708,-0.10005505383014679,-0.09074966609477997,-0.10002195090055466,-0.096075817942(...TRUNCATED)
|
[
20,
9,
22,
20,
1,
12,
28,
9,
33,
1,
32,
10,
20,
22,
22,
20,
22,
23,
33,
1,
33,
29,
18,
20,
32,
4,
33,
22,
20,
26,
33,
12,
1
] |
[0.16859202086925507,0.33809930086135864,0.30423763394355774,0.2841050624847412,0.23982003331184387,(...TRUNCATED)
|
[
12,
1,
9,
33,
17,
12,
20,
32,
18,
20,
14,
18,
33,
12,
28,
1
] |
[0.01998634822666645,0.03516186773777008,0.030316637828946114,0.029179416596889496,0.023456886410713(...TRUNCATED)
| [18,20,32,32,20,9,14,20,18,33,12,33,1,26,33,22,18,33,32,10,18,20,18,1,12,33,30,33,1,26,33,22,18,33,1(...TRUNCATED)
|
[0.05754905566573143,0.10256791859865189,0.08111787587404251,0.08238915354013443,0.07259746640920639(...TRUNCATED)
| [29,28,9,33,1,22,10,33,1,5,33,14,33,22,26,32,32,28,1,14,18,20,22,26,20,18,9,33,18,1,22,33,22,1,12,33(...TRUNCATED)
|
[-0.015073836781084538,-0.023964056745171547,-0.017740396782755852,-0.01576947048306465,-0.014679768(...TRUNCATED)
|
[
18,
33,
22,
10,
33,
22,
1,
33,
18,
9,
20,
12,
28,
1,
32,
10,
20,
12,
20,
18,
1,
12,
33,
30,
33,
1,
33,
18,
29,
20,
9,
1
] |
[-0.006337940227240324,-0.009310017339885235,0.010434419848024845,0.009226221591234207,0.00283293612(...TRUNCATED)
|
[
28,
1,
32,
10,
18,
20,
18,
1,
22,
33,
18,
1,
4,
20,
14,
33,
26,
30,
33,
1,
22,
23,
18,
20,
30,
20,
1
] |
[-0.02090776339173317,-0.03360079973936081,-0.02693098597228527,-0.02893417701125145,-0.027968151494(...TRUNCATED)
|
[
12,
33,
22,
23,
26,
20,
10,
20,
18,
1,
18,
28,
18,
33,
1,
20,
22,
23,
18,
20,
9,
18,
28,
18,
1
] |
[0.07157241553068161,0.14272025227546692,0.1421571522951126,0.17283882200717926,0.18207953870296478,(...TRUNCATED)
| [32,10,22,33,1,18,4,20,14,33,30,33,1,20,14,5,38,20,32,33,1,29,16,26,12,33,16,26,33,1,32,10,22,33,1,1(...TRUNCATED)
|
End of preview. Expand
in Data Studio
Enenlhet Wav2Vec2 Dataset
This dataset contains preprocessed audio features and tokenized text for training Wav2Vec2 models on the Enenlhet language.
Dataset Summary
- Train: 3,053 examples
- Test: 170 examples
- Validation: 170 examples
- Total: 3,393 examples
Features
input_values: Preprocessed audio features (16kHz, normalized float32 arrays)labels: Tokenized text as integer sequences
Usage
from datasets import load_dataset
# Load the dataset
dataset = load_dataset("enenlhet-asr/enenlhet-wav2vec2-dataset")
# Access splits
train_dataset = dataset['train']
test_dataset = dataset['test']
validation_dataset = dataset['validation']
Citation
If you use this dataset, please cite:
@dataset{enenlhet_wav2vec2_2025,
title={Enenlhet Wav2Vec2 Dataset},
author={Samuel J. Huskey},
year={2025},
url={https://huggingface.co/datasets/sjhuskey/enenlhet-wav2vec2-dataset}
}
- Downloads last month
- 37
Size of downloaded dataset files:
1.48 GB
Size of the auto-converted Parquet files:
1.48 GB
Number of rows:
7,628
Models trained or fine-tuned on sjhuskey/enenlhet-wav2vec2-dataset