Dataset Viewer
Auto-converted to Parquet Duplicate
audio
audioduration (s)
0.77
10.2
corpus
stringclasses
2 values
l1_label
stringclasses
7 values
speaker_id
stringclasses
14 values
utt_id
stringlengths
12
12
cmu
en
BDL
arctic_b0534
cmu
en
BDL
arctic_b0064
cmu
en
BDL
arctic_a0414
cmu
en
BDL
arctic_b0108
cmu
en
BDL
arctic_b0007
cmu
en
BDL
arctic_b0401
cmu
en
BDL
arctic_a0423
cmu
en
BDL
arctic_a0417
cmu
en
BDL
arctic_b0040
cmu
en
BDL
arctic_a0432
cmu
en
BDL
arctic_a0106
cmu
en
BDL
arctic_a0047
cmu
en
BDL
arctic_a0154
cmu
en
BDL
arctic_a0396
cmu
en
BDL
arctic_a0453
cmu
en
BDL
arctic_b0084
cmu
en
BDL
arctic_b0393
cmu
en
BDL
arctic_a0074
cmu
en
BDL
arctic_a0198
cmu
en
BDL
arctic_a0013
cmu
en
BDL
arctic_b0355
cmu
en
BDL
arctic_b0382
cmu
en
BDL
arctic_b0268
cmu
en
BDL
arctic_b0170
cmu
en
BDL
arctic_b0140
cmu
en
BDL
arctic_a0580
cmu
en
BDL
arctic_b0334
cmu
en
BDL
arctic_a0213
cmu
en
BDL
arctic_a0259
cmu
en
BDL
arctic_b0533
cmu
en
BDL
arctic_a0117
cmu
en
BDL
arctic_a0501
cmu
en
BDL
arctic_b0513
cmu
en
BDL
arctic_b0258
cmu
en
BDL
arctic_b0173
cmu
en
BDL
arctic_a0107
cmu
en
BDL
arctic_b0176
cmu
en
BDL
arctic_b0059
cmu
en
BDL
arctic_a0518
cmu
en
BDL
arctic_b0368
cmu
en
BDL
arctic_b0032
cmu
en
BDL
arctic_b0019
cmu
en
BDL
arctic_b0129
cmu
en
BDL
arctic_a0173
cmu
en
BDL
arctic_a0428
cmu
en
BDL
arctic_a0535
cmu
en
BDL
arctic_a0500
cmu
en
BDL
arctic_b0222
cmu
en
BDL
arctic_b0265
cmu
en
BDL
arctic_a0477
cmu
en
BDL
arctic_a0298
cmu
en
BDL
arctic_a0270
cmu
en
BDL
arctic_a0141
cmu
en
BDL
arctic_b0406
cmu
en
BDL
arctic_b0239
cmu
en
BDL
arctic_b0219
cmu
en
BDL
arctic_a0296
cmu
en
BDL
arctic_a0026
cmu
en
BDL
arctic_b0403
cmu
en
BDL
arctic_a0542
cmu
en
BDL
arctic_b0068
cmu
en
BDL
arctic_b0242
cmu
en
BDL
arctic_b0123
cmu
en
BDL
arctic_a0456
cmu
en
BDL
arctic_a0512
cmu
en
BDL
arctic_a0363
cmu
en
BDL
arctic_a0125
cmu
en
BDL
arctic_b0120
cmu
en
BDL
arctic_b0247
cmu
en
BDL
arctic_a0393
cmu
en
BDL
arctic_b0431
cmu
en
BDL
arctic_b0371
cmu
en
BDL
arctic_a0305
cmu
en
BDL
arctic_a0521
cmu
en
BDL
arctic_b0324
cmu
en
BDL
arctic_a0119
cmu
en
BDL
arctic_b0022
cmu
en
BDL
arctic_a0017
cmu
en
BDL
arctic_a0015
cmu
en
BDL
arctic_b0507
cmu
en
BDL
arctic_b0360
cmu
en
BDL
arctic_a0285
cmu
en
BDL
arctic_a0583
cmu
en
BDL
arctic_a0515
cmu
en
BDL
arctic_b0270
cmu
en
BDL
arctic_a0349
cmu
en
BDL
arctic_b0015
cmu
en
BDL
arctic_a0272
cmu
en
BDL
arctic_b0094
cmu
en
BDL
arctic_b0436
cmu
en
BDL
arctic_a0507
cmu
en
BDL
arctic_a0264
cmu
en
BDL
arctic_b0047
cmu
en
BDL
arctic_a0140
cmu
en
BDL
arctic_b0531
cmu
en
BDL
arctic_a0495
cmu
en
BDL
arctic_a0466
cmu
en
BDL
arctic_a0123
cmu
en
BDL
arctic_b0479
cmu
en
BDL
arctic_a0315
End of preview. Expand in Data Studio

CMU + L2-ARCTIC Combined Dataset for L1 Classification

This dataset combines CMU Arctic (native English speakers) and L2-ARCTIC (non-native English speakers) for L1 (native language) classification research. It is redistributed for the purpose of academic reproducibility.

Audio is embedded in Parquet files for efficient loading via HuggingFace datasets.

Dataset Description

Subset Source Speakers L1 Labels License
cmu/ CMU Arctic 4 native English speakers en CMU Arctic license (see CMU Arctic website)
l2arctic/ L2-ARCTIC 24 non-native English speakers ar, es, hi, ko, vi, zh CC BY-NC 4.0

Splits

Split CMU L2-ARCTIC Total
train 2,264 13,450 15,714
val 1,132 6,787 7,919
test 1,132 6,630 7,762
Total 4,528 26,867 31,395

Schema

Column Type Description
audio struct {path: string, bytes: binary} - Audio data with original relative path
corpus string cmu or l2arctic
l1_label string L1 language code (en, ko, zh, ar, hi, es, vi)
speaker_id string Speaker identifier
utt_id string Utterance identifier

License

⚠️ Important: This dataset contains data from two sources with different licenses.

Folder Source License Commercial Use
cmu/ CMU Arctic CMU Arctic license (see CMU Arctic website) ✅ Allowed
l2arctic/ L2-ARCTIC CC BY-NC 4.0 ❌ Non-commercial only

Combined usage requires compliance with CC BY-NC 4.0 (non-commercial use only).

Usage

Load Combined Dataset

from datasets import load_dataset, Audio

# Load one split using the pre-defined split metadata
train_ds = load_dataset("y00njaekim/cmul2arctic-l1cls", split="train")

# Or load all splits at once
ds = load_dataset("y00njaekim/cmul2arctic-l1cls")

# Access a sample
sample = train_ds[0]
print(f"L1: {sample['l1_label']}, Speaker: {sample['speaker_id']}")

# Decode audio bytes
audio_bytes = sample["audio"]["bytes"]
audio_path = sample["audio"]["path"]

Attribution

CMU Arctic

L2-ARCTIC

As requested by the original authors, please cite the following paper if you use L2-ARCTIC:

@inproceedings{zhao2018l2arctic,
    author={Guanlong {Zhao} and Sinem {Sonsaat} and Alif {Silpachai} and
            Ivana {Lucic} and Evgeny {Chukharev-Hudilainen} and John {Levis} and
            Ricardo {Gutierrez-Osuna}},
    title={L2-ARCTIC: A Non-native English Speech Corpus},
    year=2018,
    booktitle={Proc. Interspeech},
    pages={2783–2787},
    doi={10.21437/Interspeech.2018-1110},
    url={http://dx.doi.org/10.21437/Interspeech.2018-1110}
}

Original Source: https://psi.engr.tamu.edu/l2-arctic-corpus/

Acknowledgments

This dataset redistribution is provided for academic reproducibility purposes. All credit for the original data collection belongs to the respective research teams at Carnegie Mellon University and Texas A&M University.

Downloads last month
76

Collection including changelinglab/cmul2arctic-l1cls