Datasets:

Aniemore
/

resd_ctc16000

name stringlengths 19 29	path stringlengths 37 57	emotion stringclasses 7 values	speech listlengths 5.92k 322k	input_values listlengths 5.92k 322k	attention_mask listlengths 5.92k 322k	labels int64 0 6
32_happiness_enthusiasm_h_120	happiness_enthusiasm_32/32_happiness_enthusiasm_h_120.wav	happiness	[-0.00018310546875,-0.0006103515625,-0.000762939453125,-0.000701904296875,-0.001068115234375,-0.0010(...TRUNCATED)	[-0.0035704579204320908,-0.013394351117312908,-0.01690288446843624,-0.015499471686780453,-0.02391995(...TRUNCATED)	[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1(...TRUNCATED)	4
36_disgust_happiness_d_130	disgust_happiness_36/36_disgust_happiness_d_130.wav	disgust	[-0.00439453125,-0.006866455078125,0.001983642578125,0.0108642578125,0.01824951171875,0.018859863281(...TRUNCATED)	[-0.0449514277279377,-0.07036300003528595,0.02061671018600464,0.1119101420044899,0.18783113360404968(...TRUNCATED)	[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1(...TRUNCATED)	1
34_anger_fear_a_060	anger_fear_34/34_anger_fear_a_060.wav	anger	[-0.000091552734375,-0.000213623046875,-0.000091552734375,0.000030517578125,0.000244140625,0.0,-0.00(...TRUNCATED)	[-0.0006920173182152212,-0.0020031824242323637,-0.0006920173182152212,0.0006191478460095823,0.002913(...TRUNCATED)	[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1(...TRUNCATED)	0
25_anger_disgust_a_010	anger_disgust_25/25_anger_disgust_a_010.wav	anger	[1.3877161109121516e-6,-8.249530765169766e-7,-3.724364603385766e-7,8.145294486894272e-6,0.0000229983(...TRUNCATED)	[0.0007096705376170576,0.0006604270893149078,0.0006704979459755123,0.000860061903949827,0.0011906190(...TRUNCATED)	[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1(...TRUNCATED)	0
17_neutral_disgust_d_092	neutral_disgust_17/17_neutral_disgust_d_092.wav	disgust	[-0.00015540783351752907,-0.0024546387139707804,-0.00479633454233408,-0.00575720239430666,-0.0000405(...TRUNCATED)	[-0.0012924369657412171,-0.025491880252957344,-0.05013826861977577,-0.06025141850113869,-0.000083270(...TRUNCATED)	[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1(...TRUNCATED)	1
27_neutral_fear_f_100	neutral_fear_27/27_neutral_fear_f_100.wav	fear	[1.8969848269989598e-6,-4.641217401513131e-6,-5.556194082600996e-6,2.95341760647716e-6,-0.0000720897(...TRUNCATED)	[0.0004943147650919855,0.0003028757928404957,0.0002760851930361241,0.0005252471892163157,-0.00167202(...TRUNCATED)	[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1(...TRUNCATED)	3
48_fear_disgust_d_080	fear_disgust_48/48_fear_disgust_d_080.wav	disgust	[-8.517898208992847e-7,1.0842135225175298e-6,-1.342260247838567e-6,1.6266275224552373e-6,-1.95249731(...TRUNCATED)	[0.00011523233115440235,0.0001424956863047555,0.00010832538828253746,0.00015013413212727755,0.000099(...TRUNCATED)	[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1(...TRUNCATED)	1
32_happiness_enthusiasm_e_060	happiness_enthusiasm_32/32_happiness_enthusiasm_e_060.wav	enthusiasm	[0.0,0.000152587890625,-0.00054931640625,0.000274658203125,0.0001220703125,-0.001556396484375,0.0007(...TRUNCATED)	[0.0013424501521512866,0.008679063059389591,-0.025069355964660645,0.014548352919518948,0.00721174059(...TRUNCATED)	[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1(...TRUNCATED)	2
27_neutral_fear_n_030	neutral_fear_27/27_neutral_fear_n_030.wav	neutral	[-1.6269609659502748e-6,2.3017951207293663e-6,-3.7642435017914977e-6,0.00001385798714181874,0.000032(...TRUNCATED)	[0.0002917016390711069,0.0004055327735841274,0.0002297763421665877,0.0007403600611723959,0.001268077(...TRUNCATED)	[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1(...TRUNCATED)	5
33_sadness_disgust_s_080	sadness_disgust_33/33_sadness_disgust_s_080.wav	sadness	[0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0(...TRUNCATED)	[0.000018018941773334518,0.000018018941773334518,0.000018018941773334518,0.000018018941773334518,0.0(...TRUNCATED)	[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1(...TRUNCATED)	6

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RESD (CTC, 16 kHz)

RESD resampled to 16 kHz with wav2vec2 features precomputed.

How it was recorded

RESD was recorded in a studio by 20 voice actors. There was no script: the actors were not handed lines to read. Instead each actor in a pair was privately given an emotion to play, and the dialogue was improvised from there. So the words are spontaneous while the emotion is deliberate — which is the point, and also the limit. The label describes what the actor was told to convey, not what a listener independently judged.

Splits

Split	Rows	Hours	Mean clip
`train`	1116	1.88	6.1 s
`test`	280	0.46	5.9 s

Fields

Column	Meaning
`name`	Clip identifier
`path`	Original file path
`emotion`	Emotion label of the recording
`speech`	Audio
`input_values`	Precomputed wav2vec2 input features
`attention_mask`	Mask for `input_values`
`labels`	Emotion labels, multi-label

Usage

from datasets import load_dataset

ds = load_dataset("Aniemore/resd_ctc16000")
print(ds["train"][0]["emotion"])

Limitations

Acted emotion is not spontaneous emotion. The classes here are near-balanced, while unscripted Russian speech is overwhelmingly neutral, so a model that scores well on this test set can still miss most of the neutral speech it meets in production. Treat a RESD score as a comparison between models, not as a readiness signal.

Citation

@misc{Aniemore,
  author = {Артем Аментес, Илья Лубенец, Никита Давидчук},
  title = {Открытая библиотека искусственного интеллекта для анализа и выявления эмоциональных оттенков речи человека},
  year = {2022},
  publisher = {Hugging Face},
  journal = {Hugging Face Hub},
  howpublished = {\url{https://hf-cdn.sandrone.workm/aniemore/Aniemore}},
  email = {hello@socialcode.ru}
}

License

MIT.

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