|
--- |
|
dataset_info: |
|
- config_name: combined_description |
|
features: |
|
- name: main_category |
|
dtype: string |
|
- name: title |
|
dtype: string |
|
- name: average_rating |
|
dtype: float64 |
|
- name: rating_number |
|
dtype: int64 |
|
- name: features |
|
dtype: string |
|
- name: description |
|
dtype: string |
|
- name: price |
|
dtype: float64 |
|
- name: images |
|
list: |
|
- name: hi_res |
|
dtype: string |
|
- name: large |
|
dtype: string |
|
- name: thumb |
|
dtype: string |
|
- name: variant |
|
dtype: string |
|
- name: videos |
|
list: |
|
- name: title |
|
dtype: string |
|
- name: url |
|
dtype: string |
|
- name: user_id |
|
dtype: string |
|
- name: store |
|
dtype: string |
|
- name: categories |
|
sequence: string |
|
- name: parent_asin |
|
dtype: string |
|
- name: brand |
|
dtype: string |
|
- name: manufacturer |
|
dtype: string |
|
- name: product_dimensions |
|
dtype: string |
|
- name: color |
|
dtype: string |
|
- name: material |
|
dtype: string |
|
- name: item_form |
|
dtype: string |
|
- name: item_model_number |
|
dtype: string |
|
- name: age_range_(description) |
|
dtype: string |
|
- name: item_weight |
|
dtype: string |
|
- name: skin_type |
|
dtype: string |
|
- name: package_dimensions |
|
dtype: string |
|
- name: hair_type |
|
dtype: string |
|
- name: unit_count |
|
dtype: string |
|
- name: number_of_items |
|
dtype: float64 |
|
- name: scent |
|
dtype: string |
|
- name: material_type |
|
dtype: string |
|
- name: style |
|
dtype: string |
|
- name: date_first_available |
|
dtype: float64 |
|
- name: best_sellers_rank |
|
dtype: string |
|
- name: department |
|
dtype: string |
|
- name: size |
|
dtype: string |
|
- name: country_of_origin |
|
dtype: string |
|
- name: brand_name |
|
dtype: string |
|
- name: package_weight |
|
dtype: string |
|
- name: sport_type |
|
dtype: string |
|
- name: closure_type |
|
dtype: string |
|
- name: image_description |
|
dtype: string |
|
- name: image_description_formatted |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 1080709589 |
|
num_examples: 257549 |
|
download_size: 477460754 |
|
dataset_size: 1080709589 |
|
- config_name: combined_description_embeddings |
|
features: |
|
- name: main_category |
|
dtype: string |
|
- name: title |
|
dtype: string |
|
- name: average_rating |
|
dtype: float64 |
|
- name: rating_number |
|
dtype: int64 |
|
- name: features |
|
dtype: string |
|
- name: description |
|
dtype: string |
|
- name: price |
|
dtype: float64 |
|
- name: images |
|
list: |
|
- name: hi_res |
|
dtype: string |
|
- name: large |
|
dtype: string |
|
- name: thumb |
|
dtype: string |
|
- name: variant |
|
dtype: string |
|
- name: videos |
|
list: |
|
- name: title |
|
dtype: string |
|
- name: url |
|
dtype: string |
|
- name: user_id |
|
dtype: string |
|
- name: store |
|
dtype: string |
|
- name: categories |
|
sequence: string |
|
- name: parent_asin |
|
dtype: string |
|
- name: brand |
|
dtype: string |
|
- name: manufacturer |
|
dtype: string |
|
- name: product_dimensions |
|
dtype: string |
|
- name: color |
|
dtype: string |
|
- name: material |
|
dtype: string |
|
- name: item_form |
|
dtype: string |
|
- name: item_model_number |
|
dtype: string |
|
- name: age_range_(description) |
|
dtype: string |
|
- name: item_weight |
|
dtype: string |
|
- name: skin_type |
|
dtype: string |
|
- name: package_dimensions |
|
dtype: string |
|
- name: hair_type |
|
dtype: string |
|
- name: unit_count |
|
dtype: string |
|
- name: number_of_items |
|
dtype: float64 |
|
- name: scent |
|
dtype: string |
|
- name: material_type |
|
dtype: string |
|
- name: style |
|
dtype: string |
|
- name: date_first_available |
|
dtype: float64 |
|
- name: best_sellers_rank |
|
dtype: string |
|
- name: department |
|
dtype: string |
|
- name: size |
|
dtype: string |
|
- name: country_of_origin |
|
dtype: string |
|
- name: brand_name |
|
dtype: string |
|
- name: package_weight |
|
dtype: string |
|
- name: sport_type |
|
dtype: string |
|
- name: closure_type |
|
dtype: string |
|
- name: image_description |
|
dtype: string |
|
- name: image_description_formatted |
|
dtype: string |
|
- name: text |
|
dtype: string |
|
- name: token_count |
|
dtype: int64 |
|
- name: embeddings |
|
sequence: float64 |
|
splits: |
|
- name: train |
|
num_bytes: 4515596823 |
|
num_examples: 257549 |
|
download_size: 2993893056 |
|
dataset_size: 4515596823 |
|
- config_name: combined_description_formatted |
|
features: |
|
- name: main_category |
|
dtype: string |
|
- name: title |
|
dtype: string |
|
- name: average_rating |
|
dtype: float64 |
|
- name: rating_number |
|
dtype: int64 |
|
- name: features |
|
dtype: string |
|
- name: description |
|
dtype: string |
|
- name: price |
|
dtype: float64 |
|
- name: images |
|
list: |
|
- name: hi_res |
|
dtype: string |
|
- name: large |
|
dtype: string |
|
- name: thumb |
|
dtype: string |
|
- name: variant |
|
dtype: string |
|
- name: videos |
|
list: |
|
- name: title |
|
dtype: string |
|
- name: url |
|
dtype: string |
|
- name: user_id |
|
dtype: string |
|
- name: store |
|
dtype: string |
|
- name: categories |
|
sequence: string |
|
- name: parent_asin |
|
dtype: string |
|
- name: brand |
|
dtype: string |
|
- name: manufacturer |
|
dtype: string |
|
- name: product_dimensions |
|
dtype: string |
|
- name: color |
|
dtype: string |
|
- name: material |
|
dtype: string |
|
- name: item_form |
|
dtype: string |
|
- name: item_model_number |
|
dtype: string |
|
- name: age_range_(description) |
|
dtype: string |
|
- name: item_weight |
|
dtype: string |
|
- name: skin_type |
|
dtype: string |
|
- name: package_dimensions |
|
dtype: string |
|
- name: hair_type |
|
dtype: string |
|
- name: unit_count |
|
dtype: string |
|
- name: number_of_items |
|
dtype: float64 |
|
- name: scent |
|
dtype: string |
|
- name: material_type |
|
dtype: string |
|
- name: style |
|
dtype: string |
|
- name: date_first_available |
|
dtype: float64 |
|
- name: best_sellers_rank |
|
dtype: string |
|
- name: department |
|
dtype: string |
|
- name: size |
|
dtype: string |
|
- name: country_of_origin |
|
dtype: string |
|
- name: brand_name |
|
dtype: string |
|
- name: package_weight |
|
dtype: string |
|
- name: sport_type |
|
dtype: string |
|
- name: closure_type |
|
dtype: string |
|
- name: image_description |
|
dtype: string |
|
- name: image_description_formatted |
|
dtype: string |
|
- name: text |
|
dtype: string |
|
- name: token_count |
|
dtype: int64 |
|
splits: |
|
- name: train |
|
num_bytes: 1349803878 |
|
num_examples: 257549 |
|
download_size: 603874757 |
|
dataset_size: 1349803878 |
|
- config_name: dataset_img_desc |
|
features: |
|
- name: main_category |
|
dtype: string |
|
- name: title |
|
dtype: string |
|
- name: average_rating |
|
dtype: float64 |
|
- name: rating_number |
|
dtype: int64 |
|
- name: features |
|
dtype: string |
|
- name: description |
|
dtype: string |
|
- name: price |
|
dtype: float64 |
|
- name: images |
|
list: |
|
- name: hi_res |
|
dtype: string |
|
- name: large |
|
dtype: string |
|
- name: thumb |
|
dtype: string |
|
- name: variant |
|
dtype: string |
|
- name: videos |
|
list: |
|
- name: title |
|
dtype: string |
|
- name: url |
|
dtype: string |
|
- name: user_id |
|
dtype: string |
|
- name: store |
|
dtype: string |
|
- name: categories |
|
sequence: string |
|
- name: parent_asin |
|
dtype: string |
|
- name: brand |
|
dtype: string |
|
- name: manufacturer |
|
dtype: string |
|
- name: product_dimensions |
|
dtype: string |
|
- name: color |
|
dtype: string |
|
- name: material |
|
dtype: string |
|
- name: item_form |
|
dtype: string |
|
- name: item_model_number |
|
dtype: string |
|
- name: age_range_(description) |
|
dtype: string |
|
- name: item_weight |
|
dtype: string |
|
- name: skin_type |
|
dtype: string |
|
- name: package_dimensions |
|
dtype: string |
|
- name: hair_type |
|
dtype: string |
|
- name: unit_count |
|
dtype: string |
|
- name: number_of_items |
|
dtype: float64 |
|
- name: scent |
|
dtype: string |
|
- name: material_type |
|
dtype: string |
|
- name: style |
|
dtype: string |
|
- name: date_first_available |
|
dtype: float64 |
|
- name: best_sellers_rank |
|
dtype: string |
|
- name: department |
|
dtype: string |
|
- name: size |
|
dtype: string |
|
- name: country_of_origin |
|
dtype: string |
|
- name: brand_name |
|
dtype: string |
|
- name: package_weight |
|
dtype: string |
|
- name: sport_type |
|
dtype: string |
|
- name: closure_type |
|
dtype: string |
|
- name: image_description |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 805035290 |
|
num_examples: 257549 |
|
download_size: 347928267 |
|
dataset_size: 805035290 |
|
- config_name: default |
|
features: |
|
- name: main_category |
|
dtype: string |
|
- name: title |
|
dtype: string |
|
- name: average_rating |
|
dtype: float64 |
|
- name: rating_number |
|
dtype: int64 |
|
- name: features |
|
dtype: string |
|
- name: description |
|
dtype: string |
|
- name: price |
|
dtype: float64 |
|
- name: images |
|
list: |
|
- name: hi_res |
|
dtype: string |
|
- name: large |
|
dtype: string |
|
- name: thumb |
|
dtype: string |
|
- name: variant |
|
dtype: string |
|
- name: videos |
|
list: |
|
- name: title |
|
dtype: string |
|
- name: url |
|
dtype: string |
|
- name: user_id |
|
dtype: string |
|
- name: store |
|
dtype: string |
|
- name: categories |
|
sequence: string |
|
- name: parent_asin |
|
dtype: string |
|
- name: brand |
|
dtype: string |
|
- name: manufacturer |
|
dtype: string |
|
- name: product_dimensions |
|
dtype: string |
|
- name: color |
|
dtype: string |
|
- name: material |
|
dtype: string |
|
- name: item_form |
|
dtype: string |
|
- name: item_model_number |
|
dtype: string |
|
- name: age_range_(description) |
|
dtype: string |
|
- name: item_weight |
|
dtype: string |
|
- name: skin_type |
|
dtype: string |
|
- name: package_dimensions |
|
dtype: string |
|
- name: hair_type |
|
dtype: string |
|
- name: unit_count |
|
dtype: string |
|
- name: number_of_items |
|
dtype: float64 |
|
- name: scent |
|
dtype: string |
|
- name: material_type |
|
dtype: string |
|
- name: style |
|
dtype: string |
|
- name: date_first_available |
|
dtype: float64 |
|
- name: best_sellers_rank |
|
dtype: string |
|
- name: department |
|
dtype: string |
|
- name: size |
|
dtype: string |
|
- name: country_of_origin |
|
dtype: string |
|
- name: brand_name |
|
dtype: string |
|
- name: package_weight |
|
dtype: string |
|
- name: sport_type |
|
dtype: string |
|
- name: closure_type |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 685500464 |
|
num_examples: 257548 |
|
download_size: 300407714 |
|
dataset_size: 685500464 |
|
- config_name: embeddings |
|
features: |
|
- name: parent_asin |
|
dtype: string |
|
- name: embeddings |
|
sequence: float64 |
|
- name: tokens |
|
dtype: int64 |
|
- name: __index_level_0__ |
|
dtype: int64 |
|
splits: |
|
- name: train |
|
num_bytes: 3173506456 |
|
num_examples: 257548 |
|
download_size: 3228944899 |
|
dataset_size: 3173506456 |
|
- config_name: formatted |
|
features: |
|
- name: main_category |
|
dtype: string |
|
- name: title |
|
dtype: string |
|
- name: average_rating |
|
dtype: float64 |
|
- name: rating_number |
|
dtype: int64 |
|
- name: features |
|
dtype: string |
|
- name: description |
|
dtype: string |
|
- name: price |
|
dtype: float64 |
|
- name: images |
|
list: |
|
- name: thumb |
|
dtype: string |
|
- name: large |
|
dtype: string |
|
- name: variant |
|
dtype: string |
|
- name: hi_res |
|
dtype: string |
|
- name: videos |
|
list: |
|
- name: title |
|
dtype: string |
|
- name: url |
|
dtype: string |
|
- name: user_id |
|
dtype: string |
|
- name: store |
|
dtype: string |
|
- name: categories |
|
sequence: string |
|
- name: parent_asin |
|
dtype: string |
|
- name: brand |
|
dtype: string |
|
- name: manufacturer |
|
dtype: string |
|
- name: product_dimensions |
|
dtype: string |
|
- name: color |
|
dtype: string |
|
- name: material |
|
dtype: string |
|
- name: item_form |
|
dtype: string |
|
- name: item_model_number |
|
dtype: string |
|
- name: age_range_(description) |
|
dtype: string |
|
- name: item_weight |
|
dtype: string |
|
- name: skin_type |
|
dtype: string |
|
- name: package_dimensions |
|
dtype: string |
|
- name: hair_type |
|
dtype: string |
|
- name: unit_count |
|
dtype: string |
|
- name: number_of_items |
|
dtype: float64 |
|
- name: scent |
|
dtype: string |
|
- name: material_type |
|
dtype: string |
|
- name: style |
|
dtype: string |
|
- name: date_first_available |
|
dtype: float64 |
|
- name: best_sellers_rank |
|
dtype: string |
|
- name: department |
|
dtype: string |
|
- name: size |
|
dtype: string |
|
- name: country_of_origin |
|
dtype: string |
|
- name: brand_name |
|
dtype: string |
|
- name: package_weight |
|
dtype: string |
|
- name: sport_type |
|
dtype: string |
|
- name: closure_type |
|
dtype: string |
|
- name: text |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 915734700 |
|
num_examples: 257548 |
|
download_size: 426613540 |
|
dataset_size: 915734700 |
|
- config_name: formatted_and_embedded |
|
features: |
|
- name: main_category |
|
dtype: string |
|
- name: title |
|
dtype: string |
|
- name: average_rating |
|
dtype: float64 |
|
- name: rating_number |
|
dtype: int64 |
|
- name: features |
|
dtype: string |
|
- name: description |
|
dtype: string |
|
- name: price |
|
dtype: float64 |
|
- name: images |
|
list: |
|
- name: hi_res |
|
dtype: string |
|
- name: large |
|
dtype: string |
|
- name: thumb |
|
dtype: string |
|
- name: variant |
|
dtype: string |
|
- name: videos |
|
list: |
|
- name: title |
|
dtype: string |
|
- name: url |
|
dtype: string |
|
- name: user_id |
|
dtype: string |
|
- name: store |
|
dtype: string |
|
- name: categories |
|
sequence: string |
|
- name: parent_asin |
|
dtype: string |
|
- name: brand |
|
dtype: string |
|
- name: manufacturer |
|
dtype: string |
|
- name: product_dimensions |
|
dtype: string |
|
- name: color |
|
dtype: string |
|
- name: material |
|
dtype: string |
|
- name: item_form |
|
dtype: string |
|
- name: item_model_number |
|
dtype: string |
|
- name: age_range_(description) |
|
dtype: string |
|
- name: item_weight |
|
dtype: string |
|
- name: skin_type |
|
dtype: string |
|
- name: package_dimensions |
|
dtype: string |
|
- name: hair_type |
|
dtype: string |
|
- name: unit_count |
|
dtype: string |
|
- name: number_of_items |
|
dtype: float64 |
|
- name: scent |
|
dtype: string |
|
- name: material_type |
|
dtype: string |
|
- name: style |
|
dtype: string |
|
- name: date_first_available |
|
dtype: float64 |
|
- name: best_sellers_rank |
|
dtype: string |
|
- name: department |
|
dtype: string |
|
- name: size |
|
dtype: string |
|
- name: country_of_origin |
|
dtype: string |
|
- name: brand_name |
|
dtype: string |
|
- name: package_weight |
|
dtype: string |
|
- name: sport_type |
|
dtype: string |
|
- name: closure_type |
|
dtype: string |
|
- name: text |
|
dtype: string |
|
- name: embeddings |
|
sequence: float64 |
|
- name: tokens |
|
dtype: int64 |
|
- name: __index_level_0__ |
|
dtype: int64 |
|
splits: |
|
- name: train |
|
num_bytes: 4085635446 |
|
num_examples: 257548 |
|
download_size: 3653495072 |
|
dataset_size: 4085635446 |
|
- config_name: image_embeddings |
|
features: |
|
- name: main_category |
|
dtype: string |
|
- name: title |
|
dtype: string |
|
- name: average_rating |
|
dtype: float64 |
|
- name: rating_number |
|
dtype: int64 |
|
- name: features |
|
dtype: string |
|
- name: description |
|
dtype: string |
|
- name: price |
|
dtype: float64 |
|
- name: images |
|
list: |
|
- name: hi_res |
|
dtype: string |
|
- name: large |
|
dtype: string |
|
- name: thumb |
|
dtype: string |
|
- name: variant |
|
dtype: string |
|
- name: videos |
|
list: |
|
- name: title |
|
dtype: string |
|
- name: url |
|
dtype: string |
|
- name: user_id |
|
dtype: string |
|
- name: store |
|
dtype: string |
|
- name: categories |
|
sequence: string |
|
- name: parent_asin |
|
dtype: string |
|
- name: brand |
|
dtype: string |
|
- name: manufacturer |
|
dtype: string |
|
- name: product_dimensions |
|
dtype: string |
|
- name: color |
|
dtype: string |
|
- name: material |
|
dtype: string |
|
- name: item_form |
|
dtype: string |
|
- name: item_model_number |
|
dtype: string |
|
- name: age_range_(description) |
|
dtype: string |
|
- name: item_weight |
|
dtype: string |
|
- name: skin_type |
|
dtype: string |
|
- name: package_dimensions |
|
dtype: string |
|
- name: hair_type |
|
dtype: string |
|
- name: unit_count |
|
dtype: string |
|
- name: number_of_items |
|
dtype: float64 |
|
- name: scent |
|
dtype: string |
|
- name: material_type |
|
dtype: string |
|
- name: style |
|
dtype: string |
|
- name: date_first_available |
|
dtype: float64 |
|
- name: best_sellers_rank |
|
dtype: string |
|
- name: department |
|
dtype: string |
|
- name: size |
|
dtype: string |
|
- name: country_of_origin |
|
dtype: string |
|
- name: brand_name |
|
dtype: string |
|
- name: package_weight |
|
dtype: string |
|
- name: sport_type |
|
dtype: string |
|
- name: closure_type |
|
dtype: string |
|
- name: embedding |
|
sequence: float64 |
|
- name: __index_level_0__ |
|
dtype: int64 |
|
splits: |
|
- name: train |
|
num_bytes: 1743231355 |
|
num_examples: 257506 |
|
download_size: 1309663558 |
|
dataset_size: 1743231355 |
|
- config_name: product2query_V1 |
|
features: |
|
- name: main_category |
|
dtype: string |
|
- name: title |
|
dtype: string |
|
- name: features |
|
dtype: string |
|
- name: description |
|
dtype: string |
|
- name: price |
|
dtype: float64 |
|
- name: store |
|
dtype: string |
|
- name: parent_asin |
|
dtype: string |
|
- name: brand |
|
dtype: string |
|
- name: manufacturer |
|
dtype: string |
|
- name: short_query |
|
dtype: string |
|
- name: long_query |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 357508321 |
|
num_examples: 257549 |
|
download_size: 226719494 |
|
dataset_size: 357508321 |
|
- config_name: products2query |
|
features: |
|
- name: main_category |
|
dtype: string |
|
- name: title |
|
dtype: string |
|
- name: average_rating |
|
dtype: float64 |
|
- name: rating_number |
|
dtype: int64 |
|
- name: features |
|
dtype: string |
|
- name: description |
|
dtype: string |
|
- name: price |
|
dtype: float64 |
|
- name: images |
|
list: |
|
- name: hi_res |
|
dtype: string |
|
- name: large |
|
dtype: string |
|
- name: thumb |
|
dtype: string |
|
- name: variant |
|
dtype: string |
|
- name: videos |
|
list: |
|
- name: title |
|
dtype: string |
|
- name: url |
|
dtype: string |
|
- name: user_id |
|
dtype: string |
|
- name: store |
|
dtype: string |
|
- name: categories |
|
sequence: string |
|
- name: parent_asin |
|
dtype: string |
|
- name: brand |
|
dtype: string |
|
- name: manufacturer |
|
dtype: string |
|
- name: product_dimensions |
|
dtype: string |
|
- name: color |
|
dtype: string |
|
- name: material |
|
dtype: string |
|
- name: item_form |
|
dtype: string |
|
- name: item_model_number |
|
dtype: string |
|
- name: age_range_(description) |
|
dtype: string |
|
- name: item_weight |
|
dtype: string |
|
- name: skin_type |
|
dtype: string |
|
- name: package_dimensions |
|
dtype: string |
|
- name: hair_type |
|
dtype: string |
|
- name: unit_count |
|
dtype: string |
|
- name: number_of_items |
|
dtype: float64 |
|
- name: scent |
|
dtype: string |
|
- name: material_type |
|
dtype: string |
|
- name: style |
|
dtype: string |
|
- name: date_first_available |
|
dtype: float64 |
|
- name: best_sellers_rank |
|
dtype: string |
|
- name: department |
|
dtype: string |
|
- name: size |
|
dtype: string |
|
- name: country_of_origin |
|
dtype: string |
|
- name: brand_name |
|
dtype: string |
|
- name: package_weight |
|
dtype: string |
|
- name: sport_type |
|
dtype: string |
|
- name: closure_type |
|
dtype: string |
|
- name: short_query |
|
dtype: string |
|
- name: long_query |
|
dtype: string |
|
- name: __index_level_0__ |
|
dtype: int64 |
|
splits: |
|
- name: train |
|
num_bytes: 626126950 |
|
num_examples: 228226 |
|
- name: test |
|
num_bytes: 69469606 |
|
num_examples: 25359 |
|
download_size: 325569351 |
|
dataset_size: 695596556 |
|
- config_name: query_columns |
|
features: |
|
- name: main_category |
|
dtype: string |
|
- name: title |
|
dtype: string |
|
- name: average_rating |
|
dtype: float64 |
|
- name: rating_number |
|
dtype: int64 |
|
- name: features |
|
dtype: string |
|
- name: description |
|
dtype: string |
|
- name: price |
|
dtype: float64 |
|
- name: images |
|
list: |
|
- name: hi_res |
|
dtype: string |
|
- name: large |
|
dtype: string |
|
- name: thumb |
|
dtype: string |
|
- name: variant |
|
dtype: string |
|
- name: videos |
|
list: |
|
- name: title |
|
dtype: string |
|
- name: url |
|
dtype: string |
|
- name: user_id |
|
dtype: string |
|
- name: store |
|
dtype: string |
|
- name: categories |
|
sequence: string |
|
- name: parent_asin |
|
dtype: string |
|
- name: brand |
|
dtype: string |
|
- name: manufacturer |
|
dtype: string |
|
- name: product_dimensions |
|
dtype: string |
|
- name: color |
|
dtype: string |
|
- name: material |
|
dtype: string |
|
- name: item_form |
|
dtype: string |
|
- name: item_model_number |
|
dtype: string |
|
- name: age_range_(description) |
|
dtype: string |
|
- name: item_weight |
|
dtype: string |
|
- name: skin_type |
|
dtype: string |
|
- name: package_dimensions |
|
dtype: string |
|
- name: hair_type |
|
dtype: string |
|
- name: unit_count |
|
dtype: string |
|
- name: number_of_items |
|
dtype: float64 |
|
- name: scent |
|
dtype: string |
|
- name: material_type |
|
dtype: string |
|
- name: style |
|
dtype: string |
|
- name: date_first_available |
|
dtype: float64 |
|
- name: best_sellers_rank |
|
dtype: string |
|
- name: department |
|
dtype: string |
|
- name: size |
|
dtype: string |
|
- name: country_of_origin |
|
dtype: string |
|
- name: brand_name |
|
dtype: string |
|
- name: package_weight |
|
dtype: string |
|
- name: sport_type |
|
dtype: string |
|
- name: closure_type |
|
dtype: string |
|
- name: short_query |
|
dtype: string |
|
- name: long_query |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 712918693 |
|
num_examples: 257549 |
|
download_size: 319192681 |
|
dataset_size: 712918693 |
|
configs: |
|
- config_name: combined_description |
|
data_files: |
|
- split: train |
|
path: combined_description/train-* |
|
- config_name: combined_description_embeddings |
|
data_files: |
|
- split: train |
|
path: combined_description_embeddings/train-* |
|
- config_name: combined_description_formatted |
|
data_files: |
|
- split: train |
|
path: combined_description_formatted/train-* |
|
- config_name: dataset_img_desc |
|
data_files: |
|
- split: train |
|
path: dataset_img_desc/train-* |
|
- config_name: default |
|
data_files: |
|
- split: train |
|
path: data/train-* |
|
- config_name: embeddings |
|
data_files: |
|
- split: train |
|
path: embeddings/train-* |
|
- config_name: formatted |
|
data_files: |
|
- split: train |
|
path: formatted/train-* |
|
- config_name: formatted_and_embedded |
|
data_files: |
|
- split: train |
|
path: formatted_and_embedded/train-* |
|
- config_name: image_embeddings |
|
data_files: |
|
- split: train |
|
path: image_embeddings/train-* |
|
- config_name: product2query_V1 |
|
data_files: |
|
- split: train |
|
path: product2query_V1/train-* |
|
- config_name: products2query |
|
data_files: |
|
- split: train |
|
path: products2query/train-* |
|
- split: test |
|
path: products2query/test-* |
|
- config_name: query_columns |
|
data_files: |
|
- split: train |
|
path: query_columns/train-* |
|
--- |
|
|
|
# Dataset Card for Dataset Name |
|
Original datasets can be found on: https://amazon-reviews-2023.github.io/ |
|
|
|
## Dataset Details |
|
This dataset was made as sample of several datasets from the link above. |
|
|
|
### Dataset Description |
|
|
|
This dataset is a curated sample derived from seven filtered Amazon product category datasets(Amazon All Beauty, Amazon Fashion, Sports and Outdoors, |
|
Health and Personal Care, Amazon Clothing Shoes and Jewlery, |
|
Baby Products and Beauty and Personal Care), combining diverse product information across categories. |
|
The dataset contains 258k entries, each representing a unique product and its associated metadata. |
|
Designed for product-related analysis, this dataset is well-suited for tasks such as embedding generation, recommendation systems, and NLP model training. |
|
|
|
<h2>Dataset Versions:</h2> |
|
<ul> |
|
<li><strong>Data version:</strong> Contains standard product attributes, without the additional <code>text</code> column.</li> |
|
<li><strong>Formatted version:</strong> Includes an extra column, <code>text</code>, specifically created for generating embeddings, allowing for deeper semantic analysis and machine learning tasks.</li> |
|
<li><strong>Embeddings:</strong> Generated embeddings from the <code>text</code> column, along with parent_asin and token count.</li> |
|
<li><strong>Formatted and embedded version:</strong> The formatted version with the embeddings.</li> |
|
<li><strong>Image description version:</strong> The standard dataset with the description of the images for each product.</li> |
|
<li><strong>Image embeddings:</strong> The standard dataset with the image embedding of the first encountered image of each product.</li> |
|
<li><strong>Combined description version:</strong> The standard dataset along with the image description and combined description and image description in the <code>image_description_formatted</code> column.</li> |
|
<li><strong>Combined and formatted description version:</strong> The standard dataset along with the image description, and combined description and image description in the <code>image_description_formatted</code> column. Including the <code>text</code> column.</li> |
|
<li><strong>Embeddings for Combined description version:</strong> The Combined and formatted description version along with <code>token_counts</code> and <code>embeddings </code> of the text column.</li> |
|
<li><strong>Query columns version:</strong> The standard dataset along with short queries and long queries.</li> |
|
<li><strong>Product2Query version:</strong> The dataset with query columns, splited into train and test for fine-tuning.</li> |
|
</ul> |
|
|
|
### Original Structure |
|
<table border="1" cellpadding="5" cellspacing="0"> |
|
<tr> |
|
<th>Field</th> |
|
<th>Type</th> |
|
<th>Explanation</th> |
|
</tr> |
|
<tr> |
|
<td>main_category</td> |
|
<td>str</td> |
|
<td>Main category (i.e., domain) of the product.</td> |
|
</tr> |
|
<tr> |
|
<td>title</td> |
|
<td>str</td> |
|
<td>Name of the product.</td> |
|
</tr> |
|
<tr> |
|
<td>average_rating</td> |
|
<td>float</td> |
|
<td>Rating of the product shown on the product page.</td> |
|
</tr> |
|
<tr> |
|
<td>rating_number</td> |
|
<td>int</td> |
|
<td>Number of ratings in the product.</td> |
|
</tr> |
|
<tr> |
|
<td>features</td> |
|
<td>list</td> |
|
<td>Bullet-point format features of the product.</td> |
|
</tr> |
|
<tr> |
|
<td>description</td> |
|
<td>list</td> |
|
<td>Description of the product.</td> |
|
</tr> |
|
<tr> |
|
<td>price</td> |
|
<td>float</td> |
|
<td>Price in US dollars (at time of crawling).</td> |
|
</tr> |
|
<tr> |
|
<td>images</td> |
|
<td>list</td> |
|
<td>Images of the product. Each image has different sizes (thumb, large, hi_res). The “variant” field shows the position of image.</td> |
|
</tr> |
|
<tr> |
|
<td>videos</td> |
|
<td>list</td> |
|
<td>Videos of the product including title and url.</td> |
|
</tr> |
|
<tr> |
|
<td>store</td> |
|
<td>str</td> |
|
<td>Store name of the product.</td> |
|
</tr> |
|
<tr> |
|
<td>categories</td> |
|
<td>list</td> |
|
<td>Hierarchical categories of the product.</td> |
|
</tr> |
|
<tr> |
|
<td>details</td> |
|
<td>dict</td> |
|
<td>Product details, including materials, brand, sizes, etc.</td> |
|
</tr> |
|
<tr> |
|
<td>parent_asin</td> |
|
<td>str</td> |
|
<td>Parent ID of the product.</td> |
|
</tr> |
|
<tr> |
|
<td>bought_together</td> |
|
<td>list</td> |
|
<td>Recommended bundles from the websites.</td> |
|
</tr> |
|
</table> |
|
|
|
|
|
### Modifications made |
|
<ul> |
|
<li>Products without a description, title, images or details were removed.</li> |
|
<li>Lists in features and description are transformed into strings concatinated with a newline</li> |
|
<li>For the details column, only the top 16 most frequent detail types were kept. The details column was then split into these new 16 columns based on the detail types kept.</li> |
|
<li>Products with date first available before the year 2015 are dropped.</li> |
|
<li>Products with is_discontinued_by_manufacturer set to 'true' or 'yes' are dropped. Then that column was dropped.</li> |
|
<li>Column bought_together is dropped due to missing values.</li> |
|
</ul> |
|
|
|
### Dataset Size |
|
<ul> |
|
<li><strong>Total entries:</strong> 258k</li> |
|
<li><strong>Total columns (Data version):</strong> 45</li> |
|
</ul> |
|
|
|
### Final Structure |
|
<table border="1" cellpadding="5" cellspacing="0"> |
|
<tr> |
|
<th>Field</th> |
|
<th>Type</th> |
|
<th>Explanation</th> |
|
</tr> |
|
<tr> |
|
<td>main_category</td> |
|
<td>str</td> |
|
<td>Main category</td> |
|
</tr> |
|
<tr> |
|
<td>title</td> |
|
<td>str</td> |
|
<td>Name of the product</td> |
|
</tr> |
|
<tr> |
|
<td>average_rating</td> |
|
<td>float</td> |
|
<td>Rating of the product shown on the product page.</td> |
|
</tr> |
|
<tr> |
|
<td>rating_number</td> |
|
<td>int</td> |
|
<td>Number of ratings in the product.</td> |
|
</tr> |
|
<tr> |
|
<td>features</td> |
|
<td>list</td> |
|
<td>Bullet-point format features of the product.</td> |
|
</tr> |
|
<tr> |
|
<td>description</td> |
|
<td>list</td> |
|
<td>Description of the product.</td> |
|
</tr> |
|
<tr> |
|
<td>price</td> |
|
<td>float</td> |
|
<td>Price in US dollars (at time of crawling).</td> |
|
</tr> |
|
<tr> |
|
<td>images</td> |
|
<td>list</td> |
|
<td>Images of the product. Each image has different sizes (thumb, large, hi_res). The “variant” field shows the position of image.</td> |
|
</tr> |
|
<tr> |
|
<td>videos</td> |
|
<td>list</td> |
|
<td>Videos of the product including title and url.</td> |
|
</tr> |
|
<tr> |
|
<td>store</td> |
|
<td>str</td> |
|
<td>Store name of the product.</td> |
|
</tr> |
|
<tr> |
|
<td>details</td> |
|
<td>dict</td> |
|
<td>Product details, including materials, brand, sizes, etc.</td> |
|
</tr> |
|
<tr> |
|
<td>parent_asin</td> |
|
<td>str</td> |
|
<td>Parent ID of the product.</td> |
|
</tr> |
|
<tr> |
|
<td>upc</td> |
|
<td>str</td> |
|
<td>Universal Product Code (UPC), a barcode for uniquely identifying the product.</td> |
|
</tr> |
|
<tr> |
|
<td>brand</td> |
|
<td>str</td> |
|
<td>Brand</td> |
|
</tr> |
|
<tr> |
|
<td>manufacturer</td> |
|
<td>str</td> |
|
<td>Manufacturer of the product</td> |
|
</tr> |
|
<tr> |
|
<td>product_dimensions</td> |
|
<td>str</td> |
|
<td>Dimensions of the product</td> |
|
</tr> |
|
<tr> |
|
<td>color</td> |
|
<td>str</td> |
|
<td>Color</td> |
|
</tr> |
|
<tr> |
|
<td>material</td> |
|
<td>str</td> |
|
<td>Material</td> |
|
</tr> |
|
<tr> |
|
<td>item_form</td> |
|
<td>str</td> |
|
<td>Form of the item (e.g., liquid, solid, gel).</td> |
|
</tr> |
|
<tr> |
|
<td>item_model_number</td> |
|
<td>str</td> |
|
<td>Model number of the product</td> |
|
</tr> |
|
<tr> |
|
<td>age_range_(description)</td> |
|
<td>str</td> |
|
<td>Recommended age range for the product, often used for toys or children’s products.</td> |
|
</tr> |
|
<tr> |
|
<td>item_weight</td> |
|
<td>str</td> |
|
<td>Weight of the item</td> |
|
</tr> |
|
<tr> |
|
<td>skin_type</td> |
|
<td>str</td> |
|
<td>Suitable skin types for the product (e.g., oily, dry, sensitive).</td> |
|
</tr> |
|
<tr> |
|
<td>package_dimensions</td> |
|
<td>str</td> |
|
<td>Dimensions of the product packaging</td> |
|
</tr> |
|
<tr> |
|
<td>hair_type</td> |
|
<td>str</td> |
|
<td>Suitable hair types for the product (e.g., curly, straight, fine).</td> |
|
</tr> |
|
<tr> |
|
<td>unit_count</td> |
|
<td>str</td> |
|
<td>Total quantity or units contained in the product package.</td> |
|
</tr> |
|
<tr> |
|
<td>number_of_items</td> |
|
<td>float64</td> |
|
<td>Number of items in the product</td> |
|
</tr> |
|
<tr> |
|
<td>scent</td> |
|
<td>str</td> |
|
<td>Fragrance or scent associated with the product.</td> |
|
</tr> |
|
<tr> |
|
<td>material_type</td> |
|
<td>str</td> |
|
<td>Material</td> |
|
</tr> |
|
<tr> |
|
<td>style</td> |
|
<td>str</td> |
|
<td>Style</td> |
|
</tr> |
|
<tr> |
|
<td>date_first_available</td> |
|
<td>float64</td> |
|
<td>Date the first time product was available</td> |
|
</tr> |
|
<tr> |
|
<td>best_sellers_rank</td> |
|
<td>str</td> |
|
<td>Best seller rank</td> |
|
</tr> |
|
<tr> |
|
<td>department</td> |
|
<td>str</td> |
|
<td>Department</td> |
|
</tr> |
|
<tr> |
|
<td>size</td> |
|
<td>str</td> |
|
<td>Sieze</td> |
|
</tr> |
|
<tr> |
|
<td>country_of_origin</td> |
|
<td>str</td> |
|
<td>Country of origin of the product</td> |
|
</tr> |
|
<tr> |
|
<td>flavor</td> |
|
<td>str</td> |
|
<td>Flavour</td> |
|
</tr> |
|
<tr> |
|
<td>item_dimensions_lxwxh</td> |
|
<td>str</td> |
|
<td>Item dimensions LxWxH</td> |
|
</tr> |
|
<tr> |
|
<td>brand_name</td> |
|
<td>str</td> |
|
<td>Brand name</td> |
|
</tr> |
|
<tr> |
|
<td>package_weight</td> |
|
<td>str</td> |
|
<td>Weight of the package</td> |
|
</tr> |
|
<tr> |
|
<td>item_package_dimensions_l_x_w_x_h</td> |
|
<td>str</td> |
|
<td>Dimensions of the item package LxWxH</td> |
|
</tr> |
|
<tr> |
|
<td>part_number</td> |
|
<td>str</td> |
|
<td>Part number</td> |
|
</tr> |
|
<tr> |
|
<td>suggested_users</td> |
|
<td>str</td> |
|
<td>Suggester users</td> |
|
</tr> |
|
<tr> |
|
<td>item_dimensions__lxwxh</td> |
|
<td>str</td> |
|
<td>Item dimensions LxWxH</td> |
|
</tr> |
|
<tr> |
|
<td>sport_type</td> |
|
<td>str</td> |
|
<td>Sport type</td> |
|
</tr> |
|
<tr> |
|
<td>closure_type</td> |
|
<td>str</td> |
|
<td>Closure type</td> |
|
</tr> |
|
</table> |
