Datasets:
ArXiv:
MegaWika 2.0 Data Schema
MegaWika 2 is structured as a collection of JSON-lines "chunk" files organized by Wikipedia language. Each chunk file contains a collection of Article objects, one (JSON-encoded) Article per line. What follows is documentation for each type in the schema, starting with Article.
Article
Fields
- title (string): Article title
- Ex:
"Les Hauts de Hurlevent est l'unique roman d'Emily Brontë ..."
- Ex:
- wikicode (string): Wikimedia source code for article
- Ex:
"<div id=\"mp_header\" class=\"mp_outerbox\"> ..."
- Ex:
- hash (string): Hash of title and content
- Ex:
"2c0c3bfb0493fb8ddd5661..."
- Ex:
- last_revision (string): Datetime of last revision
- Ex:
"2023-12-03T10:50:40Z"
- Ex:
- first_revision (string | null): Datetime of initial article creation, if it could be retrieved.
- Ex:
"2023-09-04T08:19:40Z"
- Ex:
- first_revision_access_date (string | null): Datetime first revision was retrieved from Wikipedia Action API
- Ex:
"2023-12-03T10:55:40Z"
- Ex:
- cross_lingual_links (object[string, string] | null): A dictionary mapping this article onto articles on the same topic in other languages; keys represent language codes, values represent the title of the article in that language.
- Ex:
{"en": "Wuthering Heights", "es": "Cumbres Borrascosas"}
- Ex:
- cross_lingual_links_access_date (string | null): Datetime cross-lingual links were retrieved from Wikipedia Action API
- Ex:
"2023-12-03T10:56:40Z"
- Ex:
- text (string): Natural-language text of article
- Ex:
"Les Hauts de Hurlevent est l'unique roman d'Emily Brontë ..."
- Ex:
- elements (array[Heading | Table | Infobox | Paragraph | Math | Code | Preformatted]): Article structure: paragraphs, text and citation elements, etc.
- excerpts_with_citations (array[ExcerptWithCitations]): A list of all citations from the article and the associated text excerpts they appear in. This data is a postprocessed subset of the data in the elements list and is provided for convenience.
Citation
Fields
- content (string): Citation content
- Ex:
"<ref>{{Citation |last=Thomas |first=Darcy |year=2013 ..."
- Ex:
- char_index (integer): Character index of this citation in the enclosing sentence or excerpt
- Ex:
39
- Ex:
- name (string | null): Optional citation name
- Ex:
null
- Ex:
"Thomas2013"
- Ex:
- url (string | null): Extracted URL, if web citation
- Ex:
"https://example.com/emily-bronte/..."
- Ex:
- source_text (string | null): Extracted source text, if source download and extraction succeeded
- Ex:
"Emily Brontë avait deux sœurs ..."
- Ex:
- source_code_content_type (string | null): Downloaded source code content type, if download succeeded and content-type header was received
- Ex:
"text/html"
- Ex:
"text/html; charset=ISO-8859-1"
- Ex:
- source_code_num_bytes (integer | null): Not used
- Ex:
null
- Ex:
- source_code_num_chars (integer | null): Size of downloaded source code in characters, if source download succeeded and code can be decoded as text
- Ex:
100000
- Ex:
- source_download_date (string | null): Datetime source code was downloaded from the web
- Ex:
"2023-12-03T10:50:40Z"
- Ex:
- source_download_error (string | null): Source download error message, if there was an error
- Ex:
null
- Ex:
"Download is too large (2.4 MB)"
- Ex:
"ConnectTimeoutError: ..."
- Ex:
- source_extract_error (string | null): Source extraction error message, if there was an error
- Ex:
null
- Ex:
"Text is too short (50 words)"
- Ex:
"Exception: ..."
- Ex:
- source_snippet (string | null): A relevant snippet from the source document, excertped manually by Wikipedia editor; stored in the
quote
field of the relevant citation templates.- Ex:
"Emily Brontë avait deux sœurs"
- Ex:
- source_quality_label (integer | null): An integer between 1 and 5 representing the predicted relevance and quality of the text extracted from the source page: 1 is irrelevant content like 404 text and paywalls, 2 is likely irrelevant or unreadable content like a list of headlines or mangled table, 3 is potentially relevant content like a book abstract, 4 is likely relevant content but with some quality issues, and 5 is relevant content that is well-formatted.
- Ex:
4
- Ex:
- source_quality_raw_score (number | null): The raw score output by the source quality regression model, generally between 0 and 1. The source quality label is computed from the raw score and has a monotonic but non-linear relationship.
- Ex:
0.8
- Ex:
Example JSON
{
"content": "<ref>{{Citation |last=Thomas |first=Darcy |year=2013 ...",
"char_index": 39,
"name": null,
"url": "https://example.com/emily-bronte/...",
"source_text": "Emily Brontë avait deux sœurs ...",
"source_code_content_type": "text/html",
"source_code_num_bytes": null,
"source_code_num_chars": 100000,
"source_download_date": "2023-12-03T10:50:40Z",
"source_download_error": null,
"source_extract_error": null,
"source_snippet": "Emily Brontë avait deux sœurs",
"source_quality_label": 4,
"source_quality_raw_score": 0.8
}
CitationNeeded
Fields
- type (const string =
"citation-needed"
): Used to differentiate from other element types - content (string): Citation-needed element content
- Ex:
"{{Citation needed|date=September 2015}}"
- Ex:
- char_index (integer): Character index of this citation-needed in the enclosing sentence or excerpt
- Ex:
39
- Ex:
Example JSON
{
"type": "citation-needed",
"content": "{{Citation needed|date=September 2015}}",
"char_index": 39
}
Code
Fields
- type (const string =
"code"
): Used to differentiate from other element types - language (string | null): Code language (as used for syntax highlighting)
- Ex:
"cpp"
- Ex:
- content (string): Code block content
- Ex:
"int main() { ..."
- Ex:
Example JSON
{
"type": "code",
"language": "cpp",
"content": "int main() { ..."
}
ExcerptWithCitations
Fields
- text (string): The text of three consecutive sentences from an article
- Ex:
"Les Hauts de Hurlevent est .... défis à la culture victorienne."
- Ex:
- translated_text (string | null): English translation of the excerpt text, if not in English Wikipedia
- Ex:
"Wuthering Heights is .... challenges to Victorian culture."
- Ex:
- citations (array[Citation]): Citation(s) appearing in the final sentence of this excerpt
Heading
Fields
- type (const string =
"heading"
): Used to differentiate from other element types - text (string): Heading text
- Ex:
"Personnages"
- Ex:
- translated_text (string | null): English translation of heading text, if not in English Wikipedia
- Ex:
"Characters"
- Ex:
- level (integer): Heading level (1 being top-level/most general, 6 being bottom-level/most specific)
- Ex:
2
- Ex:
- citations (array[Citation]): Citations appearing in this heading
- citations_needed (array[CitationNeeded]): Citation-needed elements appearing in this heading
Infobox
Fields
- type (const string =
"infobox"
): Used to differentiate from other element types - content (string): Infobox content
- Ex:
"{{Infobox Livre\n| auteur = Emily Brontë\n...\n}"
- Ex:
Example JSON
{
"type": "infobox",
"content": "{{Infobox Livre\n| auteur = Emily Brontë\n...\n}"
}
Math
Fields
- type (const string =
"math"
): Used to differentiate from other element types - content (string): Math block content
- Ex:
"\\sin 2\\pi x + \\ln e ..."
- Ex:
Example JSON
{
"type": "math",
"content": "\\sin 2\\pi x + \\ln e ..."
}
Paragraph
Fields
- type (const string =
"paragraph"
): Used to differentiate from other element types - sentences (array[Sentence]): List of sentences in this paragraph
Preformatted
Fields
- type (const string =
"preformatted"
): Used to differentiate from other element types - content (string): Preformatted block content
- Ex:
"____\n|DD|____T_\n|_ |_____|<\n @-@-@-oo\\\n"
- Ex:
Example JSON
{
"type": "preformatted",
"content": "____\n|DD|____T_\n|_ |_____|<\n @-@-@-oo\\\n"
}
Sentence
Fields
- text (string): Sentence text content
- Ex:
"Les Hauts de Hurlevent est l'unique roman d'Emily Brontë."
- Ex:
- translated_text (string | null): English translation of sentence text content, if not in English Wikipedia
- Ex:
"Wuthering Heights is the only novel by Emily Brontë."
- Ex:
- trailing_whitespace (string): If the sentence was originally followed by whitespace, this will be a space. If the sentence was not followed by whitespace (for example, if it was followed by a quotation mark), this will be the empty string.
- Ex:
" "
- Ex:
""
- Ex:
- citations (array[Citation]): Citations appearing in this sentence
- citations_needed (array[CitationNeeded]): Citation-needed elements appearing in this sentence
Table
Fields
- type (const string =
"table"
): Used to differentiate from other element types - content (string): Table content
- Ex:
"{| class=\"wikitable\"\n|+ Personnages\n|-\n! Nom !! ...\n...\n|}"
- Ex:
Example JSON
{
"type": "table",
"content": "{| class=\"wikitable\"\n|+ Personnages\n|-\n! Nom !! ...\n...\n|}"
}