Datasets:

Aniemore
/

resd

name stringlengths 19 29	path stringlengths 37 57	emotion stringclasses 7 values
32_happiness_enthusiasm_h_120	happiness_enthusiasm_32/32_happiness_enthusiasm_h_120.wav	happiness
36_disgust_happiness_d_130	disgust_happiness_36/36_disgust_happiness_d_130.wav	disgust
34_anger_fear_a_060	anger_fear_34/34_anger_fear_a_060.wav	anger
25_anger_disgust_a_010	anger_disgust_25/25_anger_disgust_a_010.wav	anger
17_neutral_disgust_d_092	neutral_disgust_17/17_neutral_disgust_d_092.wav	disgust
27_neutral_fear_f_100	neutral_fear_27/27_neutral_fear_f_100.wav	fear
48_fear_disgust_d_080	fear_disgust_48/48_fear_disgust_d_080.wav	disgust
32_happiness_enthusiasm_e_060	happiness_enthusiasm_32/32_happiness_enthusiasm_e_060.wav	enthusiasm
27_neutral_fear_n_030	neutral_fear_27/27_neutral_fear_n_030.wav	neutral
33_sadness_disgust_s_080	sadness_disgust_33/33_sadness_disgust_s_080.wav	sadness
27_neutral_fear_n_080	neutral_fear_27/27_neutral_fear_n_080.wav	neutral
32_happiness_enthusiasm_e_050	happiness_enthusiasm_32/32_happiness_enthusiasm_e_050.wav	enthusiasm
40_enthusiasm_fear_f_070	enthusiasm_fear_40/40_enthusiasm_fear_f_070.wav	fear
26_enthusiasm_happiness_h_080	enthusiasm_happiness_26/26_enthusiasm_happiness_h_080.wav	happiness
17_neutral_disgust_n_050	neutral_disgust_17/17_neutral_disgust_n_050.wav	neutral
03_disgust_neutral n_050	03_disgust_neutral/03_disgust_neutral n_050.wav	neutral
47_enthusiasm_sadness_e_100	enthusiasm_sadness_47/47_enthusiasm_sadness_e_100.wav	enthusiasm
20_disgust_enthusiasm_d_110	disgust_enthusiasm_20/20_disgust_enthusiasm_d_110.wav	disgust
22_fear_anger_f_050	fear_anger_22/22_fear_anger_f_050.wav	fear
28_disgust_enthusiasm_d_030	disgust_enthusiasm_28/28_disgust_enthusiasm_d_030.wav	disgust
50_enthusiasm_sadness_e_130	enthusiasm_sadness_50/50_enthusiasm_sadness_e_130.wav	enthusiasm
11_anger_disgust d_200	11_disgust_anger/11_anger_disgust d_200.wav	disgust
35_neutral_fear_f_043	neutral_fear_35/35_neutral_fear_f_043.wav	fear
39_sadness_anger_a_040	sadness_anger_39/39_sadness_anger_a_040.wav	anger
09_neutral_happiness n_010	09_neutral_happiness/09_neutral_happiness n_010.wav	neutral
03_disgust_neutral n_060	03_disgust_neutral/03_disgust_neutral n_060.wav	neutral
45_happiness_sadness_h_100	happiness_sadness_45/45_happiness_sadness_h_100.wav	happiness
12_sadness_disgust_s_020	sadness_disgust_12/12_sadness_disgust_s_020.wav	sadness
31_fear_enthusiasm_f_060	fear_enthusiasm_31/31_fear_enthusiasm_f_060.wav	fear
16_sadness_disgust_s_011	sadness_disgust_16/16_sadness_disgust_s_011.wav	sadness
35_neutral_fear_n_020	neutral_fear_35/35_neutral_fear_n_020.wav	neutral
43_enthusiasm_neutral_e_140	enthusiasm_neutral_43/43_enthusiasm_neutral_e_140.wav	enthusiasm
33_sadness_disgust_d_080	sadness_disgust_33/33_sadness_disgust_d_080.wav	disgust
50_enthusiasm_sadness_s_020	enthusiasm_sadness_50/50_enthusiasm_sadness_s_020.wav	sadness
11_anger_disgust d_100	11_disgust_anger/11_anger_disgust d_100.wav	disgust
19_anger_disgust_a_140	anger_disgust_19/19_anger_disgust_a_140.wav	anger
50_enthusiasm_sadness_e_060	enthusiasm_sadness_50/50_enthusiasm_sadness_e_060.wav	enthusiasm
19_anger_disgust_a_070	anger_disgust_19/19_anger_disgust_a_070.wav	anger
43_enthusiasm_neutral_n_090	enthusiasm_neutral_43/43_enthusiasm_neutral_n_090.wav	neutral
16_sadness_disgust_d_010	sadness_disgust_16/16_sadness_disgust_d_010.wav	disgust
25_anger_disgust_d_020	anger_disgust_25/25_anger_disgust_d_020.wav	disgust
34_anger_fear_f_110	anger_fear_34/34_anger_fear_f_110.wav	fear
08_sadness_anger a_140	08_sadness_anger/08_sadness_anger a_140.wav	anger
39_sadness_anger_a_050	sadness_anger_39/39_sadness_anger_a_050.wav	anger
36_disgust_happiness_h_100	disgust_happiness_36/36_disgust_happiness_h_100.wav	happiness
40_enthusiasm_fear_e_150	enthusiasm_fear_40/40_enthusiasm_fear_e_150.wav	enthusiasm
14_anger_fear_f_040	anger_fear_14/14_anger_fear_f_040.wav	fear
08_sadness_anger s_090	08_sadness_anger/08_sadness_anger s_090.wav	sadness
48_fear_disgust_d_100	fear_disgust_48/48_fear_disgust_d_100.wav	disgust
02_anger_sadness a_044	02_anger_sadness/02_anger_sadness a_044.wav	anger
24_sadness_enthusiasm_e_060	sadness_enthusiasm_24/24_sadness_enthusiasm_e_060.wav	enthusiasm
39_sadness_anger_a_060	sadness_anger_39/39_sadness_anger_a_060.wav	anger
29_happiness_fear_f_170	happiness_fear_29/29_happiness_fear_f_170.wav	fear
11_anger_disgust a_210	11_disgust_anger/11_anger_disgust a_210.wav	anger
21_happiness_anger_h_130	happiness_anger_21/21_happiness_anger_h_130.wav	happiness
38_happiness_neutral_h_030	happiness_neutral_38/38_happiness_neutral_h_030.wav	happiness
22_fear_anger_f_090	fear_anger_22/22_fear_anger_f_090.wav	fear
27_neutral_fear_f_010	neutral_fear_27/27_neutral_fear_f_010.wav	fear
04_fear_enthusiasm f_120	04_fear_enthusiasm/04_fear_enthusiasm f_120.wav	fear
26_enthusiasm_happiness_h_070	enthusiasm_happiness_26/26_enthusiasm_happiness_h_070.wav	happiness
07_fear_neutral n_040	07_fear_neutral/07_fear_neutral n_040.wav	neutral
42_anger_fear_a_052	anger_fear_42/42_anger_fear_a_052.wav	anger
44_neutral_anger_n_110	neutral_anger_44/44_neutral_anger_n_110.wav	neutral
14_anger_fear_f_050	anger_fear_14/14_anger_fear_f_050.wav	fear
20_disgust_enthusiasm_e_102	disgust_enthusiasm_20/20_disgust_enthusiasm_e_102.wav	enthusiasm
17_neutral_disgust_n_120	neutral_disgust_17/17_neutral_disgust_n_120.wav	neutral
46_sadness_disgust_s_040	sadness_disgust_46/46_sadness_disgust_s_040.wav	sadness
11_anger_disgust a_050	11_disgust_anger/11_anger_disgust a_050.wav	anger
17_neutral_disgust_d_110	neutral_disgust_17/17_neutral_disgust_d_110.wav	disgust
32_happiness_enthusiasm_e_070	happiness_enthusiasm_32/32_happiness_enthusiasm_e_070.wav	enthusiasm
23_happiness_neutral_n_080	happiness_neutral_23/23_happiness_neutral_n_080.wav	neutral
27_neutral_fear_f_080	neutral_fear_27/27_neutral_fear_f_080.wav	fear
32_happiness_enthusiasm_h_071	happiness_enthusiasm_32/32_happiness_enthusiasm_h_071.wav	happiness
35_neutral_fear_n_040	neutral_fear_35/35_neutral_fear_n_040.wav	neutral
45_happiness_sadness_s_040	happiness_sadness_45/45_happiness_sadness_s_040.wav	sadness
13_neutral_enthusiasm_e_041	neutral_enthusiasm_13/13_neutral_enthusiasm_e_041.wav	enthusiasm
11_anger_disgust a_150	11_disgust_anger/11_anger_disgust a_150.wav	anger
06_happiness_enthusiasm e_020	06_happiness_enthusiasm/06_happiness_enthusiasm e_020.wav	enthusiasm
35_neutral_fear_f_064	neutral_fear_35/35_neutral_fear_f_064.wav	fear
20_disgust_enthusiasm_e_110	disgust_enthusiasm_20/20_disgust_enthusiasm_e_110.wav	enthusiasm
34_anger_fear_a_170	anger_fear_34/34_anger_fear_a_170.wav	anger
47_enthusiasm_sadness_s_091	enthusiasm_sadness_47/47_enthusiasm_sadness_s_091.wav	sadness
47_enthusiasm_sadness_e_020	enthusiasm_sadness_47/47_enthusiasm_sadness_e_020.wav	enthusiasm
03_disgust_neutral d_052	03_disgust_neutral/03_disgust_neutral d_052.wav	disgust
35_neutral_fear_f_063	neutral_fear_35/35_neutral_fear_f_063.wav	fear
34_anger_fear_f_060	anger_fear_34/34_anger_fear_f_060.wav	fear
16_sadness_disgust_d_030	sadness_disgust_16/16_sadness_disgust_d_030.wav	disgust
05_neutral_fear n_050	05_neutral_fear/05_neutral_fear n_050.wav	neutral
06_happiness_enthusiasm h_020	06_happiness_enthusiasm/06_happiness_enthusiasm h_020.wav	happiness
36_disgust_happiness_d_100	disgust_happiness_36/36_disgust_happiness_d_100.wav	disgust
04_fear_enthusiasm e_030	04_fear_enthusiasm/04_fear_enthusiasm e_030.wav	enthusiasm
14_anger_fear_a_050	anger_fear_14/14_anger_fear_a_050.wav	anger
33_sadness_disgust_s_040	sadness_disgust_33/33_sadness_disgust_s_040.wav	sadness
43_enthusiasm_neutral_n_160	enthusiasm_neutral_43/43_enthusiasm_neutral_n_160.wav	neutral
45_happiness_sadness_h_050	happiness_sadness_45/45_happiness_sadness_h_050.wav	happiness
42_anger_fear_a_200	anger_fear_42/42_anger_fear_a_200.wav	anger
40_enthusiasm_fear_e_080	enthusiasm_fear_40/40_enthusiasm_fear_e_080.wav	enthusiasm
37_enthusiasm_neutral_e_110	enthusiasm_neutral_37/37_enthusiasm_neutral_e_110.wav	enthusiasm
47_enthusiasm_sadness_e_090	enthusiasm_sadness_47/47_enthusiasm_sadness_e_090.wav	enthusiasm
14_anger_fear_a_030	anger_fear_14/14_anger_fear_a_030.wav	anger

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Dataset Card for resd

Dataset Summary

Russian dataset of emotional speech dialogues. This dataset was assembled from ~3.5 hours of live speech by actors who voiced pre-distributed emotions in the dialogue for ~3 minutes each.

Supported Tasks and Leaderboards

[More Information Needed]

Languages

[More Information Needed]

Dataset Structure

Data Instances

[More Information Needed]

Data Fields

[More Information Needed]

Data Splits

[More Information Needed]

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

Initial Data Collection and Normalization

[More Information Needed]

Who are the source language producers?

[More Information Needed]

Annotations

Annotation process

[More Information Needed]

Who are the annotators?

[More Information Needed]

Personal and Sensitive Information

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Considerations for Using the Data

Social Impact of Dataset

[More Information Needed]

Discussion of Biases

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Other Known Limitations

[More Information Needed]

Additional Information

Dataset Curators

[More Information Needed]

Licensing Information

This dataset was created by Artem Amentes, Nikita Davidchuk and Ilya Lubenets

Citation Information

@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://huggingface.com/aniemore/Aniemore}},
  email = {hello@socialcode.ru}
}

Contributions

Thanks to @Ar4ikov for adding this dataset.

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Homepage: https://huggingface.co/datasets/Aniemore/resd

Repository: https://github.com/aniemore/Aniemore

Paper:

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Size of the auto-converted Parquet files:

486 MB

Number of rows:

1,396

Models trained or fine-tuned on Aniemore/resd