태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Scientific results extraction is the task of extracting relevant result information (e.g., in the case of Machine learning performance results: task, dataset, metric name, metric value) from the scientific literature.
출처에 같은 태스크 이름으로 연결된 데이터셋입니다. 동명 태스크가 포함될 수 있으므로, 비교할 때는 평가 결과의 조건도 확인하세요.
The Papers with Code Leaderboards dataset is a collection of over 5,000 results capturing performance of machine learning models. Each result is a tuple of form (task, dataset, metric name, metric value). The data was collected using the Papers with Code review interface. Source: AxCell: Automatic Extraction of Results from Machine Learning Papers Image Source: AxCell: Automatic Extraction of Results from Machine Learning Papers
The ArxivPapers dataset is an unlabelled collection of over 104K papers related to machine learning and published on arXiv.org between 2007–2020. The dataset includes around 94K papers (for which LaTeX source code is available) in a structured form in which paper is split into a title, abstract, sections, paragraphs and references. Additionally, the dataset contains over 277K tables extracted from the LaTeX papers. Due to the papers license the dataset is published as a metadata and open-source pipeline that can be used to obtain and convert the papers. Source: AxCell: Automatic Extraction of Results from Machine Learning Papers Image Source: AxCell: Automatic Extraction of Results from Machine Learning Papers
The SegmentedTables dataset is a collection of almost 2,000 tables extracted from 352 machine learning papers. Each table consists of rich text content, layout and caption. Tables are annotated with types (leaderboard, ablation, irrelevant) and cells of relevant tables are annotated with semantic roles (such as “paper model”, “competing model”, “dataset”, “metric”). Due to the license of source papers the dataset is published as a metadata, all annotations and open-source pipeline that can be used to extract the tables. Source: AxCell: Automatic Extraction of Results from Machine Learning Papers Image Source: AxCell: Automatic Extraction of Results from Machine Learning Papers
The LinkedResults dataset contains around 1,600 results capturing performance of machine learning models from tables of 239 papers. All tables come from a subset of SegmentedTables dataset. Each result is a tuple of form (task, dataset, metric name, metric value) and is linked to a particular table, row and cell it originates from. Source: AxCell: Automatic Extraction of Results from Machine Learning Papers
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.