MAVE
The dataset contains 3 million attribute-value annotations across 1257 unique categories created from 2.2 million cleaned Amazon product profiles. It is a large, multi-sourced, diverse dataset for product attribute extraction study.
Papers with Code 아카이브
Attribute Mining
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 3
- 보존된 평가 기록
- 3
The attribute mining task assumes an open-world setting in which novel attributes and their values are extracted from free text. The task is mainly studied in the e-commerce context, where new attribute are mined from product titles and product descriptions.
데이터셋
출처에 같은 태스크 이름으로 연결된 데이터셋입니다. 동명 태스크가 포함될 수 있으므로, 비교할 때는 평가 결과의 조건도 확인하세요.
AE-110k
The dataset contains product information from AliExpress Sports & Entertainment category. Each attribute value in "Item Specific" is matched against the product title using exact string match to generate positive triples <title, attribute, value>. Negative triples <title, attribute, NULL> are randomly generated. Each triple is stored in a line and separated by \u0001.
OA-Mine - annotations
The dataset contains Amazon products from 10 product categories with full human annotations. The dataset was collected in 2021. The products may have been taken down from Amazon since the collection of the dataset.
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.