Al-Ṭabarī's Unacknowledged Debt

Al-Ṭabarī’s Unacknowledged Debt

This release contains the below list of data files for “Al-Ṭabarī’s Unacknowledged Debt” and future publications on these and related data. 

1. Alignments.csv: the KITAB project did a passim evaluation exercise in May-June 2021 that involved team members correcting alignments generated through the software. The alignments between the Kitāb Baghdād by Ibn Abī Ṭāhir and the Taʾrīkh al-rusul wa’l-mulūk by al-Ṭabarī were corrected by Sarah Bowen Savant.  The alignments are in CSV format (separated by tab). The alignments file is in CSV format in which the columns are separated by Tab. Fields in the file:

   • book1: Kitāb Baghdād, OpenITI book id

   • book2:Taʾrīkh, OpenITI book id

   • id: of the alignment

   • seqIAT: Because it is book 1, alignments same as id

   • seqTabari: The sequence of the alignment ids as they occur in the Taʾrīkh

   • bw1: word/token position starts, for book1 

   • ew1: word/token position ends, for book1

   • bw2: word/token position starts, for book2

   • ew2: word/token position ends, for book2

   • text1: text aligned from book1

   • text2: text aligned from book2

   • LeidenEd: the pages from Leiden ed.: al-Ṭabarī, Taʾrīkh al-rusul wa’l-mulūk, ed. M. J. de Goeje et al., 15 vols. in 3 series, Leiden: E. J. Brill, 1879–1901. Series 3, vol. 1.

   • BosworthTrans: the pages from Bosworth trans.: al-Ṭabarī, The History of al-Ṭabarī, vol. 32: The Reunification of the ʿAbbāsid Caliphate (A.D. 813-833/A.H. 198-218), trans. C.E. Bosworth, Albany: State University of New York Press, 1987. 

2. TransmissiveTerms.csv: a list of the transmissive terms with which we searched the Taʾrīkh to determine how often al-Ṭabarī cites his sources. The file is in CSV format, using Tab as the column separator.

3. Related texts and the corresponding YML files from the Version 2021.1.4 and Version 2021.2.5 releases of the OpenITI corpus.

4. A sample Python script that generates the graph with the current dataset and can be used to generate similar graphs for other datasets.

5. The citation graph.

6. The release notes.