metadata
license: apache-2.0
task_categories:
- token-classification
- feature-extraction
language:
- en
tags:
- markuplm
- metadata
- extraction
- tokens
- articles
- html
- books
- conferences
pretty_name: MarkupLM Metadata Extraction From Scientific Works
Dataset Card for Scientific Works Metadata Extraction
📖 Description
Dataset for training models (including MarkupLM) on the task of metadata extraction from scientific papers in HTML format. Contains BIO tagging for 27 metadata types.
Task: Token Classification for entity extraction:
['title', 'author', 'date', 'doi', 'issn', 'eissn', 'journal', 'publisher', 'pages', 'first_page', 'last_page', 'language', 'volume', 'issue', 'abstract', 'affiliation', 'keyword', 'doc_type', 'isbn', 'eisbn', 'editor', 'orcid', 'book_version', 'subtitle', 'conference_title', 'book_series', 'book_title']
🎯 Key Features
- Preprocessed splits: Train/Validation/Test
- MarkupLM-compatible format
- BIO tagging for tokens
- Multi-domain data (16 sources)
- Rich metadata structure:
{ "tokens": ["<html>", "<head>", ...], "xpaths": ["/html[1]/body[1]", ...], "metadata": { "title": {"text": [...], "xpaths": [...]}, ... }, "node_labels": [0, 1, 2, ...] # BIO labels }
📊 Statistics
Distribution by Source
| Resource | Articles | Books | Book Chapters | Conferences |
|---|---|---|---|---|
| ACS | 10000 | 81 | 1000 | - |
| AIP | - | 117 | 1756 | - |
| BMJ | 10000 | - | - | - |
| CAIRN | - | 71 | - | - |
| Duke | 9973 | 1000 | 1000 | - |
| Emerald | 10000 | 4116 | 5000 | - |
| IEEE | 10067 | 7229 | 10000 | 10000 |
| IOP | 10000 | 933 | 1426 | - |
| Karger | 10000 | 5931 | - | - |
| Oxford | 10000 | - | - | - |
| RSC | 9178 | 2187 | 10000 | - |
| SAE | 10710 | 936 | - | - |
| Sage | 1641 | 5716 | - | - |
| ScienceDirect | 10000 | 10000 | - | - |
| Cambridge | 13172 | 3160 | 9743 | - |
| ACM | 5038 | 1502 | - | 10000 |
📜 Data Structure
Features({
"id": Value("string"),
"source_file": Value("string"), # Source file path
"resource": Value("string"), # Publisher (ACS, IEEE, etc.)
"doc_type": Value("string"), # Document type
"tokens": Sequence(Value("string")),
"xpaths": Sequence(Value("string")), # XPath for each token
"metadata": { # Target metadata fields
field: {
"text": Sequence(Value("string")),
"xpaths": Sequence(Value("string"))
} for field in expected_fields
},
"node_labels": Sequence(Value("int64")), # BIO labels
"processing_time": Value("string")
})
📜 Label Map
{
"id2label": {
"0": "O",
"1": "B-TITLE",
"2": "I-TITLE",
"3": "B-AUTHOR",
"4": "I-AUTHOR",
"5": "B-DATE",
"6": "I-DATE",
"7": "B-DOI",
"8": "I-DOI",
"9": "B-ISSN",
"10": "I-ISSN",
"11": "B-EISSN",
"12": "I-EISSN",
"13": "B-JOURNAL",
"14": "I-JOURNAL",
"15": "B-PUBLISHER",
"16": "I-PUBLISHER",
"17": "B-PAGES",
"18": "I-PAGES",
"19": "B-FIRST_PAGE",
"20": "I-FIRST_PAGE",
"21": "B-LAST_PAGE",
"22": "I-LAST_PAGE",
"23": "B-LANGUAGE",
"24": "I-LANGUAGE",
"25": "B-VOLUME",
"26": "I-VOLUME",
"27": "B-ISSUE",
"28": "I-ISSUE",
"29": "B-ABSTRACT",
"30": "I-ABSTRACT",
"31": "B-AFFILIATION",
"32": "I-AFFILIATION",
"33": "B-KEYWORD",
"34": "I-KEYWORD",
"35": "B-DOC_TYPE",
"36": "I-DOC_TYPE",
"37": "B-ISBN",
"38": "I-ISBN",
"39": "B-EISBN",
"40": "I-EISBN",
"41": "B-EDITOR",
"42": "I-EDITOR",
"43": "B-ORCID",
"44": "I-ORCID",
"45": "B-BOOK_VERSION",
"46": "I-BOOK_VERSION",
"47": "B-SUBTITLE",
"48": "I-SUBTITLE",
"49": "B-CONFERENCE_TITLE",
"50": "I-CONFERENCE_TITLE",
"51": "B-BOOK_SERIES",
"52": "I-BOOK_SERIES",
"53": "B-BOOK_TITLE",
"54": "I-BOOK_TITLE"
}
}
🏗️ Dataset Creation
Dataset generated using a custom tool.