Datasets:
audio audioduration (s) 120 120 | language stringclasses 1
value | speaker_a_snr_db float64 19.5 34.2 | speaker_a_dnsmos float64 2.39 2.7 | speaker_a_bleed_pct float64 0 49.3 | speaker_a_bandwidth_khz float64 20.7 23.4 | speaker_a_speech_ratio float64 0.26 0.4 | speaker_b_snr_db float64 17 28.9 | speaker_b_dnsmos float64 2.54 3.06 | speaker_b_bleed_pct float64 0 54.1 | speaker_b_bandwidth_khz float64 11.3 23.4 | speaker_b_speech_ratio float64 0.27 0.43 |
|---|---|---|---|---|---|---|---|---|---|---|---|
English | 23.3 | 2.53 | 0 | 23.2 | 0.31 | 17 | 3.06 | 0 | 22.5 | 0.34 | |
English | 24.7 | 2.39 | 0 | 22.5 | 0.36 | 25.4 | 2.87 | 0 | 22.6 | 0.36 | |
English | 22 | 2.62 | 49.3 | 22.6 | 0.32 | 20.8 | 2.94 | 0 | 22.3 | 0.43 | |
English | 34.2 | 2.7 | 44.8 | 23.4 | 0.26 | 20.9 | 2.76 | 54.1 | 23.4 | 0.27 | |
English | 19.5 | 2.39 | 48.7 | 20.7 | 0.4 | 28.9 | 2.54 | 40.4 | 11.3 | 0.37 |
Couples Call Sample Data
Technical Analysis
| Measure | Value |
|---|---|
| Sample rate | 48 kHz |
| Bit depth | 24-bit PCM |
| File format | WAV (stereo, one person per channel) |
| SNR | mean 17.0 dB, median 17.1 dB (median speech level vs median level when nobody speaks) |
| Median speech RMS | -29.3 dBFS |
| Average speech ratio | 0.24 per person |
| Spectral centroid | about 0.78 kHz |
| Full-band audio | 82 % of hours carry speech above 20 kHz |
Distribution (share of hours):
| Measure | Low | Mid-low | Mid-high | High |
|---|---|---|---|---|
| SNR | < 10 dB: 14 % | 10-20 dB: 50 % | 20-30 dB: 31 % | >= 30 dB: 5 % |
| DNSMOS OVRL | < 2.0: 14 % | 2.0-2.5: 34 % | 2.5-3.0: 47 % | >= 3.0: 2 % |
| Bleed (other person's voice in the track) | < 5 %: 16 % | 5-20 %: 4 % | 20-40 %: 24 % | >= 40 %: 41 % (other 15 %: not two-person calls) |
| Bandwidth | < 8 kHz: 1 % | 8-16 kHz: 8 % | 16-20 kHz: 7 % | >= 20 kHz: 82 % |
| Speech ratio | < 0.1: 6 % | 0.1-0.2: 27 % | 0.2-0.3: 39 % | >= 0.3: 27 % |
Dataset Overview
| Item | Value |
|---|---|
| Average call duration | 17.3 min (median 11.8 min) for two-person calls |
| Relationship | Romantic partners (couples app) |
| Erotic content | 0.5 % of two-person conversation time |
| Code-switching | Yes, in 24 % of calls, mostly brief (4 % of calls have a minute or more in another language) |
Speakers per Conversation
Share of recorded hours.
| Speakers | Share of hours |
|---|---|
| 1 | 16.0 % |
| 2 | 83.7 % |
| 3+ | 0.4 % |
Conversation Categories
Share of hours of two-person conversations, labelled by a language model from the transcripts.
Questions
| Question category | Share of hours |
|---|---|
| Deeper emotional questions | 5.8 % |
| Shared memories | 2.1 % |
| Spicy / intimate topics | 1.5 % |
| Relationship boundaries | 1.2 % |
| Future plans | 0.7 % |
| Funny hypotheticals | 0.4 % |
Games
| Game | Share of hours |
|---|---|
| Draw & Guess | 15.8 % |
| Hot Take | 9.3 % |
| Mini Golf | 7.5 % |
| Same Wavelength | 7.1 % |
| Word games | 7.1 % |
| Connect 4 | 6.8 % |
| Who's More Likely | 6.6 % |
| Cooperative puzzles / mysteries | 2.3 % |
| Other games | 2.0 % |
Other
| Activity | Share of hours |
|---|---|
| Free conversation | 16.9 % |
| Setup / technical | 6.9 % |
Category Subsets
Five example excerpts (up to 2 minutes each, from different calls) for each question category, and five from different games; pick a subset in the dataset viewer.
| Subset | Category |
|---|---|
funny_hypotheticals |
Funny hypotheticals |
shared_memories |
Shared memories |
future_plans |
Future plans |
relationship_boundaries |
Relationship boundaries |
deeper_emotional_questions |
Deeper emotional questions |
spicy_intimate_topics |
Spicy / intimate topics |
games |
Games (one each: Draw & Guess, Hot Take, Same Wavelength, Connect 4, Mini Golf) |
Accent Subsets
Excerpts of up to 2 minutes from different couples; the accent is approximated from the speaker's location. accent_speaker says which channel carries it; each speaker's location is in the metadata.
| Subset | Accent | Samples |
|---|---|---|
accent_eastern_european_influenced_english |
Eastern European influenced English | 1 |
accent_general_american |
General American | 2 |
accent_latin_american_influenced_english |
Latin American influenced English | 1 |
accent_southern_american_english |
Southern American English | 2 |
accent_southern_european_influenced_english |
Southern European influenced English | 2 |
accent_western_european_influenced_english |
Western European influenced English | 2 |
Languages
By the language detected on each track.
| Language | Share of hours |
|---|---|
| English | 84.2 % |
| Spanish | 4.8 % |
| German | 2.8 % |
| Finnish | 1.8 % |
| Italian | 1.4 % |
| Filipino | 1.2 % |
| Afrikaans | 1.1 % |
| Swedish | 1.0 % |
| Portuguese | 0.8 % |
| Other | 0.9 % |
Accents
Estimated from where each speaker was when recording (IP location), not labelled from the audio.
English
| Accent | Share of hours |
|---|---|
| General American | 27.5 % |
| Southern American English | 22.0 % |
| Northeastern American English | 10.9 % |
| Western European influenced English | 8.6 % |
| Unknown | 5.6 % |
| Australian English | 4.1 % |
| Southern European influenced English | 4.1 % |
| Southern British English | 4.1 % |
| Canadian English | 3.9 % |
| Northern British English | 3.6 % |
| East Asian influenced English | 1.8 % |
| Middle Eastern influenced English | 0.9 % |
| Maritime Southeast Asian English | 0.6 % |
| Irish English | 0.5 % |
| Southern African English | 0.4 % |
| Latin American influenced English | 0.4 % |
| Caribbean English | 0.4 % |
| Mainland Southeast Asian influenced English | 0.4 % |
| South Asian English | 0.3 % |
| West African English | 0.1 % |
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