Datasets:

endthesame
/

markuplm_scimetadata

id stringlengths 36 36	source_file stringlengths 37 37	resource stringclasses 1 value	doc_type stringclasses 3 values	tokens sequencelengths 714 47.7k	xpaths sequencelengths 714 47.7k	metadata dict	node_labels sequencelengths 714 47.7k	processing_time stringdate 2025-04-09 23:47:43 2025-04-10 00:14:38
b61cd157-a003-4e44-a32e-979f4462adfe	90bbb3c4dd6a8fd42dafa398640b79c9.html	acm	article	["3DTI","Amphitheater:","Towards","3DTI","Broadcasting:","ACM","Transactions","on","Multimedia","Com(...TRUNCATED)	["/html/head/title","/html/head/title","/html/head/title","/html/head/title","/html/head/title","/ht(...TRUNCATED)	{"title":{"text":["3DTI Amphitheater:","3DTI Amphitheater"],"xpaths":["/html/body/div[2]/div/div[1]/(...TRUNCATED)	[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,13,14,14,14,14,14,14,14,14,0,1,2,0,47,48,48,0,3,0,3,0,3,0(...TRUNCATED)	2025-04-10T00:13:54.342231
bf47ad3b-215e-4eca-884f-2a65da24ca74	de7cb6b3214b0d4e0b874b083807b1a4.html	acm	article	["Blind","robust","watermarking","of","3d","motion","data","\|","ACM","Transactions","on","Multimedia(...TRUNCATED)	["/html/head/title","/html/head/title","/html/head/title","/html/head/title","/html/head/title","/ht(...TRUNCATED)	{"title":{"text":["Blind robust watermarking of 3d motion data","Blind robust watermarking of 3d mot(...TRUNCATED)	[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,13,14,14,14,14,14,14,14,14,0,1,2,2,2,2,2,2,0,3,0,3,0,0,0,0,(...TRUNCATED)	2025-04-10T00:00:46.087002
43defa6b-76a1-4c05-aa94-bcf172808e53	e712f9efd23a758ff82f29ac0e3ad79f.html	acm	article	["Do","we","need","to","handle","every","temporal","violation","in","scientific","workflow","systems(...TRUNCATED)	["/html/head/title","/html/head/title","/html/head/title","/html/head/title","/html/head/title","/ht(...TRUNCATED)	{"title":{"text":["Do we need to handle every temporal violation in scientific workflow systems?","D(...TRUNCATED)	[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,13,14,14,14,14,14,14,14,0,1,2,2,2,2,2,2,2,2,2,2,2,0(...TRUNCATED)	2025-04-10T00:11:11.944165
88c528ae-ecb2-4b0e-aec6-c5f04f41d3bf	39f09b29725a3a6ce2f1b05a2f3e622a.html	acm	article	["Employing","Software-Managed","Caches","in","OpenACC:","Opportunities","and","Benefits:","ACM","Tr(...TRUNCATED)	["/html/head/title","/html/head/title","/html/head/title","/html/head/title","/html/head/title","/ht(...TRUNCATED)	{"title":{"text":["Employing Software-Managed Caches in OpenACC:","Employing Software-Managed Caches(...TRUNCATED)	[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,13,14,14,14,14,14,14,14,14,14,14,0,1,2,2,2,2,0,(...TRUNCATED)	2025-04-10T00:04:09.470440
4b8f0b03-efc4-4fe9-83d6-b79706451e7a	70fb377fe2c261329209156370a45238.html	acm	article	["Combinators","for","bidirectional","tree","transformations:","A","linguistic","approach","to","the(...TRUNCATED)	["/html/head/title","/html/head/title","/html/head/title","/html/head/title","/html/head/title","/ht(...TRUNCATED)	{"title":{"text":["Combinators for bidirectional tree transformations:","Combinators for bidirection(...TRUNCATED)	[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,13,14,14,14,14,14,14,14,0,1,2,2,2,2,0,47,48,4(...TRUNCATED)	2025-04-10T00:00:39.006495
945695f6-a73c-41bd-945d-0b65cbf07f70	412f1210d4bcaa564fad6d0d75996b52.html	acm	article	["Computing","with","B-series","\|","ACM","Transactions","on","Mathematical","Software","/products/ac(...TRUNCATED)	["/html/head/title","/html/head/title","/html/head/title","/html/head/title","/html/head/title","/ht(...TRUNCATED)	{"title":{"text":["Computing with B-series","Computing with B-series"],"xpaths":["/html/body/div[2]/(...TRUNCATED)	[0,0,0,0,0,0,0,0,0,0,0,0,0,13,14,14,14,14,0,1,2,2,0,3,4,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,(...TRUNCATED)	2025-04-10T00:11:35.339372
d3719e9d-5bed-4a84-a084-d01613b21410	c604c13765f0f8a117e6f02db5fc3d04.html	acm	article	["Proposed","NIST","standard","for","role-based","access","control","\|","ACM","Transactions","on","I(...TRUNCATED)	["/html/head/title","/html/head/title","/html/head/title","/html/head/title","/html/head/title","/ht(...TRUNCATED)	{"title":{"text":["Proposed NIST standard for role-based access control","Proposed NIST standard for(...TRUNCATED)	[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,13,14,14,14,14,14,14,14,0,1,2,2,2,2,2,2,0,3,4,0,3,0,3,0,3,4,0(...TRUNCATED)	2025-04-10T00:09:35.540829
c665bcb6-f7c2-4f30-91a4-836e42bc45b6	89c0cd05080abcc534e5a64464a93bac.html	acm	article	["Asymptotic","Simulation","Efficiency","Based","on","Large","Deviations","\|","ACM","Transactions","(...TRUNCATED)	["/html/head/title","/html/head/title","/html/head/title","/html/head/title","/html/head/title","/ht(...TRUNCATED)	{"title":{"text":["Asymptotic Simulation Efficiency Based on Large Deviations","Asymptotic Simulatio(...TRUNCATED)	[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,13,14,14,14,14,14,14,14,0,1,2,2,2,2,2,2,0,3,4,0,3,0,0,0,0,0,0(...TRUNCATED)	2025-04-10T00:09:56.349067
ffa0aefd-5ca0-472e-8b23-bdd4c83c96f1	3d677e555fc37852315ab91cd0fc17b2.html	acm	article	["Screening","for","Dispersion","Effects","by","Sequential","Bifurcation","\|","ACM","Transactions","(...TRUNCATED)	["/html/head/title","/html/head/title","/html/head/title","/html/head/title","/html/head/title","/ht(...TRUNCATED)	{"title":{"text":["Screening for Dispersion Effects by Sequential Bifurcation","Screening for Disper(...TRUNCATED)	[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,13,14,14,14,14,14,14,14,0,1,2,2,2,2,2,2,0,3,4,0,3,4,4,0,3,4,0(...TRUNCATED)	2025-04-10T00:10:33.567597
d95e9098-d480-450b-b522-91b15389d499	ea5962daffb15f45419102d8f2afe790.html	acm	article	["SouthamptonTAC:","An","adaptive","autonomous","trading","agent:","ACM","Transactions","on","Intern(...TRUNCATED)	["/html/head/title","/html/head/title","/html/head/title","/html/head/title","/html/head/title","/ht(...TRUNCATED)	{"title":{"text":["SouthamptonTAC:","SouthamptonTAC"],"xpaths":["/html/body/div[2]/div/div[1]/main/a(...TRUNCATED)	[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,13,14,14,14,14,14,0,1,0,47,48,48,48,48,0,3,0,3,4,0,0,0,0,0,0,(...TRUNCATED)	2025-04-09T23:59:31.215177

End of preview. Expand in Data Studio

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.

Downloads last month: 72

Size of the auto-converted Parquet files (First 5GB per split):

873 MB

Number of rows (First 5GB per split):

37,999

Estimated number of rows:

190,054