| --- |
| configs: |
| - config_name: dating |
| data_files: |
| - path: dating/train.csv |
| split: train |
| default: true |
| language: en |
| license: unknown |
| pretty_name: Speeddating |
| size_categories: 1M<n<10M |
| tags: |
| - tabular_classification |
| - binary_classification |
| - multiclass_classification |
| task_categories: |
| - tabular-classification |
| --- |
| # Speed dating |
| The [Speed dating dataset](https://www.openml.org/search?type=data&sort=nr_of_likes&status=active&id=40536) from OpenML. |
|
|
|
|
| # Configurations and tasks |
| | **Configuration** | **Task** | Description | |
| |-------------------|---------------------------|---------------------------------------------------------------| |
| | dating | Binary classification | Will the two date? | |
|
|
| # Usage |
| ```python |
| from datasets import load_dataset |
| |
| dataset = load_dataset("mstz/speeddating")["train"] |
| ``` |
|
|
|
|
| # Features |
| |**Features** |**Type** | |
| |---------------------------------------------------|---------| |
| |`is_dater_male` |`int8` | |
| |`dater_age` |`int8` | |
| |`dated_age` |`int8` | |
| |`age_difference` |`int8` | |
| |`dater_race` |`string` | |
| |`dated_race` |`string` | |
| |`are_same_race` |`int8` | |
| |`same_race_importance_for_dater` |`float64`| |
| |`same_religion_importance_for_dater` |`float64`| |
| |`attractiveness_importance_for_dated` |`float64`| |
| |`sincerity_importance_for_dated` |`float64`| |
| |`intelligence_importance_for_dated` |`float64`| |
| |`humor_importance_for_dated` |`float64`| |
| |`ambition_importance_for_dated` |`float64`| |
| |`shared_interests_importance_for_dated` |`float64`| |
| |`attractiveness_score_of_dater_from_dated` |`float64`| |
| |`sincerity_score_of_dater_from_dated` |`float64`| |
| |`intelligence_score_of_dater_from_dated` |`float64`| |
| |`humor_score_of_dater_from_dated` |`float64`| |
| |`ambition_score_of_dater_from_dated` |`float64`| |
| |`shared_interests_score_of_dater_from_dated` |`float64`| |
| |`attractiveness_importance_for_dater` |`float64`| |
| |`sincerity_importance_for_dater` |`float64`| |
| |`intelligence_importance_for_dater` |`float64`| |
| |`humor_importance_for_dater` |`float64`| |
| |`ambition_importance_for_dater` |`float64`| |
| |`shared_interests_importance_for_dater` |`float64`| |
| |`self_reported_attractiveness_of_dater` |`float64`| |
| |`self_reported_sincerity_of_dater` |`float64`| |
| |`self_reported_intelligence_of_dater` |`float64`| |
| |`self_reported_humor_of_dater` |`float64`| |
| |`self_reported_ambition_of_dater` |`float64`| |
| |`reported_attractiveness_of_dated_from_dater` |`float64`| |
| |`reported_sincerity_of_dated_from_dater` |`float64`| |
| |`reported_intelligence_of_dated_from_dater` |`float64`| |
| |`reported_humor_of_dated_from_dater` |`float64`| |
| |`reported_ambition_of_dated_from_dater` |`float64`| |
| |`reported_shared_interests_of_dated_from_dater` |`float64`| |
| |`dater_interest_in_sports` |`float64`| |
| |`dater_interest_in_tvsports` |`float64`| |
| |`dater_interest_in_exercise` |`float64`| |
| |`dater_interest_in_dining` |`float64`| |
| |`dater_interest_in_museums` |`float64`| |
| |`dater_interest_in_art` |`float64`| |
| |`dater_interest_in_hiking` |`float64`| |
| |`dater_interest_in_gaming` |`float64`| |
| |`dater_interest_in_clubbing` |`float64`| |
| |`dater_interest_in_reading` |`float64`| |
| |`dater_interest_in_tv` |`float64`| |
| |`dater_interest_in_theater` |`float64`| |
| |`dater_interest_in_movies` |`float64`| |
| |`dater_interest_in_concerts` |`float64`| |
| |`dater_interest_in_music` |`float64`| |
| |`dater_interest_in_shopping` |`float64`| |
| |`dater_interest_in_yoga` |`float64`| |
| |`interests_correlation` |`float64`| |
| |`expected_satisfaction_of_dater` |`float64`| |
| |`expected_number_of_likes_of_dater_from_20_people` |`int8` | |
| |`expected_number_of_dates_for_dater` |`int8` | |
| |`dater_liked_dated` |`float64`| |
| |`probability_dated_wants_to_date` |`float64`| |
| |`already_met_before` |`int8` | |
| |`dater_wants_to_date` |`int8` | |
| |`dated_wants_to_date` |`int8` | |
|
|
