Institutional Proceedings
Collection
A growing corpus of decision-making records, parsed and optimized for computational access. • 3 items • Updated
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Terms of Use
This dataset is shared by the Institutional Data Initiative for research and public-interest use (the “Service”). These terms are intended to support experimentation while encouraging collaboration and feedback as we refine the dataset and work with contributing institutions to define shared, long-term norms for open data reuse. To share questions or feedback, contact us at contact@institutional.org.
By accessing or downloading the dataset or otherwise using the Service, you agree to the following:
Noncommercial Use Only
You may use the Service solely for noncommercial purposes. Open-source projects and other public-use efforts are welcome, even if they may indirectly support commercial use, so long as they are unaffiliated with commercial actors or intent.If you are affiliated with a commercial organization or plan to use the Service for commercial purposes (including AI model training), you will contact us first at contact@institutional.org.
No Redistribution
You may not share or redistribute the Service or any of the data provided through the Service, in whole or in part, including through public repositories or aggregators. If you want others to access it, please direct them to the attribution link.Derivative Works
You may create derivative works for noncommercial use, but you may not make available any such derivative works that substantially reproduce the original dataset. Only outputs that are significantly transformed and cannot substitute for the original—such as evaluations, summary statistics, or visualizations—may be shared, with attribution.Attribution
If you use the dataset in public-facing work, you must include attribution substantially similar to:Institutional Proceedings provided by the Institutional Data Initiative with source material contributed by the University of Michigan, available at https://institutional.org.
Minor modifications to fit citation style or formatting are permitted, provided the essential elements remain intact.
Provisional Terms
These terms apply only to this release and may change. We are actively working with contributing institutions to develop a long-term framework for responsible, open data sharing.DISCLAIMER OF WARRANTY
TO THE FULLEST EXTENT PERMITTED BY APPLICABLE LAW, ACCESS TO “SERVICE IS PROVIDED “AS IS” WITHOUT WARRANTY OF ANY KIND (EXPRESS, IMPLIED, OR OTHERWISE), INCLUDING, WITHOUT LIMITATION, ANY IMPLIED WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, OR NONINFRINGEMENT. WE DO NOT WARRANT THAT THE SERVICE WILL OPERATE IN AN UNINTERRUPTED OR ERROR-FREE MANNER OR THAT THE SERVICE IS FREE OF VIRUSES OR OTHER HARMFUL COMPONENTS. WITHOUT LIMITING THE FOREGOING, WE DO NOT WARRANT THAT (A) THE SERVICE WILL MEET YOUR REQUIREMENTS OR EXPECTATIONS OR ACHIEVE THE INTENDED PURPOSES; (B) THE SERVICE WILL NOT EXPERIENCE OUTAGES OR OTHERWISE WILL BE UNINTERRUPTED, TIMELY, OR SECURE; (C) THE INFORMATION OR SERVICES OBTAINED THROUGH OR FROM THE SERVICE WILL BE ACCURATE, COMPLETE, CURRENT, ERROR-FREE, OR RELIABLE; (D) ANY DEFECTS IN OR ON THE SERVICE WILL BE CORRECTED; OR (E) THAT ANY POLLS OR OTHER SOLICITATIONS OF INFORMATION POSTED THROUGH THE SERVICE BY YOU OR OTHER USERS ARE SAFE OR APPROPRIATE FOR YOUR OR OTHER USERS’ PARTICIPATION. WE MAKE NO REPRESENTATION OR WARRANTY REGARDING YOUR ABILITY TO TRANSMIT AND RECEIVE INFORMATION FROM OR THROUGH THE SERVICE, AND YOU AGREE AND ACKNOWLEDGE THAT YOUR ABILITY TO ACCESS THE SERVICE MAY BE IMPAIRED.LIMITATION OF LIABILITY
EXCEPT INSOFAR AS THE FOLLOWING LIMITATION MAY BE PROHIBITED BY APPLICABLE LAW, WE SHALL NOT BE LIABLE TO YOU OR TO ANY THIRD PARTY FOR ANY DIRECT, CONSEQUENTIAL, INDIRECT, PUNITIVE, SPECIAL, OR INCIDENTAL DAMAGES, WHETHER FORESEEABLE OR UNFORESEEABLE (INCLUDING, BUT NOT LIMITED TO, LOSS OF PROFITS OR EARNING POWER, LOSS OF DATA, LOSSES DUE TO ERRORS OR INTERRUPTION IN AVAILABILITY OF THE SERVICE, UNAVAILABILITY OF ANY SERVICE, SERVER, OR COMMUNICATIONS FACILITY, OR DAMAGES DUE TO ACTS OR OMISSIONS OF OTHERS USING THE SERVICE), ARISING OUT OF OR RELATING TO THE SERVICE, INCLUDING WITHOUT LIMITATION YOUR AND OTHERS’ USE OF OR INABILITY TO USE THE SERVICE, OR YOUR RELIANCE UPON INFORMATION OBTAINED FROM OR THROUGH THE SERVICE, WHETHER BASED IN CONTRACT, TORT, STATUTORY, OR OTHER LAW. OUR TOTAL CUMULATIVE LIABILITY TO YOU ARISING OUT OF OR RELATED TO THE SERVICE (INCLUDING, WITHOUT LIMITATION, IN THE WAYS DESCRIBED IN THE PRECEDING SENTENCE), WHETHER BASED IN CONTRACT, TORT, STATUTORY, OR OTHER LAW, WILL NOT EXCEED THE AMOUNT, IF ANY, THAT YOU PAID US TO USE THE SERVICE IN THE TWELVE MONTHS PRECEDING THE CLAIM. THE DISCLAIMERS AND LIMITATIONS SET FORTH IN THIS SECTION SHALL APPLY, TO THE MAXIMUM EXTENT PERMITTED BY APPLICABLE LAW, WHETHER OR NOT WE HAVE BEEN NEGLIGENT OR OTHERWISE AT FAULT.
YOU ACKNOWLEDGE THAT, FOR PURPOSES OF THE FOREGOING DISCLAIMERS AND LIMITATIONS, AS WELL AS THE INDEMNITY PROVISION IN SECTION 8 BELOW, THE TERMS “WE,” “OUR,” “US,” “INSTITUTIONAL DATA INITIATIVE,” AND “IDI” INCLUDE THE CORPORATE BODY PRESIDENT AND FELLOWS OF HARVARD COLLEGE, ALSO KNOWN AS HARVARD UNIVERSITY, AND ITS VARIOUS SCHOOLS, THE MEMBERS OF ITS GOVERNING BOARDS, AND ITS OFFICERS, FACULTY MEMBERS, EMPLOYEES, FELLOWS, AND TO THE EXTENT WORKING ON IDI, ITS STUDENTS, CONTRACTORS, AND REPRESENTATIVES.Indemnification
You agree to indemnify us and hold us harmless from any and all claims, liabilities, damages, losses and expenses, including reasonable attorneys’ fees and costs, relating to or arising out of (a) your use or attempted use of the Service in violation of these Terms of Service; or (b) your violation of any law or rights of any third party in connection with your use of the Service.Governing Law/ Jurisdiction
You agree that the Terms of Service and any claim or dispute arising out of or relating to the Service or Terms of Service will be governed by the laws of the Commonwealth of Massachusetts, excluding its conflicts of laws principles. You agree that all such claims and disputes will be heard and resolved exclusively in the federal or state courts located in and serving Middlesex or Suffolk County, Massachusetts, U.S.A. You consent to the personal jurisdiction of those courts over you for this purpose, and you waive and agree not to assert any objection to such proceedings in those courts (including any defense or objection of lack of proper jurisdiction or inconvenience of forum).Whole Agreement/ Amendment
These Terms of Service constitute the entire agreement between you and Harvard with respect to your use of the Service. We reserve the right to amend these Terms of Service at any time. The Service will post notice of changes to the terms on this webpage, and by accessing the Service after modifications to these Terms of Service have been posted, you agree to be bound by all the modified terms. Accordingly, you should periodically revisit this page to review the then-current Terms of Service.
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🏛️ Institutional Proceedings: Board of Regents of the University of Michigan
A structured dataset derived from the Proceedings of the Board of Regents of the University of Michigan, produced by the Institutional Data Initiative in collaboration with University of Michigan Library.
Each volume was re-OCR'd with a layout-aware model and segmented into individual meetings. It was then enriched with per-meeting metadata, extracted governance events, and reasoning-derived summaries.
Human-readable EPUBs of every meeting (one file per meeting, layout-aware, indexed by meeting_id_gen) are
published as a companion dataset: institutional/institutional-proceedings-um-epubs.
More information:
See also:
The Institutional Data Initiative at the Harvard Law School Library works with knowledge institutions—from libraries and museums to cultural groups and government agencies—to refine and publish their collections as data. Reach out to collaborate on your collections.
Configs
This repo ships two configs, each a single train split:
core— one row per meeting. Source page references, layout-aware OCR text and elements, per-meeting metadata (date, location, attendees), and six categories of extracted governance events, nested as native Parquet list/struct columns.summaries— the reasoning-derived dataset in long form: per-meeting significance summaries with first-pass and post-hoc chain-of-thought traces, plus year- and decade-level syntheses.
from datasets import load_dataset
core = load_dataset("institutional/institutional-proceedings-um", "core", split="train")
summaries = load_dataset("institutional/institutional-proceedings-um", "summaries", split="train")
summaries joins back to core on meeting_id_gen.
Fields
Suffixes
| Suffix | Description |
|---|---|
_src |
"From source". This field's data comes from information we gathered from the collection itself. |
_gen |
"Generated". This field's data was generated as part of our analysis / processing pipeline. |
_exp |
"Experimental". Similar to _gen, but was generated through more experimental or exploratory means. |
core schema
| Column | Type | Provenance | Description |
|---|---|---|---|
meeting_id_gen |
string |
_gen |
Meeting identifier (e.g. march_1996); unique per row. |
volume_id_src |
string |
_src |
Source volume the meeting belongs to (e.g. acw7513.1995.001). |
volume_src |
struct |
_src |
Volume-level TEI bibliographic metadata (title, author, publisher, identifiers, source-description fields, notes, and keywords). |
page_seqs_gen |
list<string> |
_gen |
Source page sequence ids the meeting spans, in order (e.g. 00000209); the source scan/TIFF for a page is named <page_seq>.tif. |
year_gen |
int64 |
_gen |
Meeting year. |
month_gen |
string |
_gen |
Meeting month (lower-case). |
date_gen |
string |
_gen |
Meeting date in ISO YYYY-MM-DD. |
location_gen |
string |
_gen |
Where the meeting was held. |
presiding_officer_gen |
string |
_gen |
Name of the presiding officer, where identified. |
attendees_gen |
list<struct> |
_gen |
Attendees, each with name, role, presiding, and is_regent. |
absent_gen |
list<struct> |
_gen |
Members noted absent; same shape as attendees_gen. |
text_gen |
string |
_gen |
Layout-aware meeting text reconstructed from the dots.ocr elements (document preserved with Markdown-style markup, tables as HTML). |
elements_gen |
list<struct> |
_gen |
dots.ocr layout elements for the meeting: page_seq, page_num, element_order, category, text, the bbox coordinates, and feature. |
n_tokens_gen |
int64 |
_gen |
Token count of text_gen (o200k_base encoding); useful for filtering this long-context corpus without re-tokenising. |
events_gen |
struct |
_gen |
Extracted governance events, with one list per category (degree_programs, leadership_transitions, org_units, fundraising, buildings, strategic_plans). |
summaries schema
| Column | Type | Provenance | Description |
|---|---|---|---|
summary_level_gen |
string |
_gen |
One of meeting, year, decade. |
model_tag_gen |
string |
_gen |
Generating model: qwen35 or gptoss20b. |
meeting_id_gen |
string |
_gen |
Meeting identifier; set for meeting rows, null otherwise. Joins to umich_bor_core.meeting_id_gen. |
volume_id_src |
string |
_src |
Source volume identifier; set for meeting rows, null otherwise. |
year_gen |
int64 |
_gen |
Year; set for meeting and year rows. |
month_gen |
string |
_gen |
Month; set for meeting rows. |
decade_gen |
string |
_gen |
Decade label YYYY-YYYY; set for decade rows. |
summary_exp |
string |
_exp |
The generated summary at this level. |
reasoning_exp |
string |
_exp |
The model's reasoning trace: the first-pass thinking trace for meeting rows, the synthesis reasoning for year and decade rows. |
reconstruction_reasoning_exp |
string |
_exp |
Post-hoc chain-of-thought reconstruction trace explaining how the meeting summary was produced. Meeting rows only; null for year and decade. |
source_meeting_ids_gen |
list<string> |
_gen |
Meeting ids feeding a year synthesis; null otherwise. |
source_years_gen |
list<int64> |
_gen |
Years feeding a decade synthesis; null otherwise. |
model_gen |
string |
_gen |
Full Hugging Face id of the generating model (e.g. Qwen/Qwen3.5-35B-A3B-GPTQ-Int4). |
Terms of Use
This dataset is shared by the Institutional Data Initiative for research and public-interest use (the “Service”). These terms are intended to support experimentation while encouraging collaboration and feedback as we refine the dataset and work with contributing institutions to define shared, long-term norms for open data reuse. To share questions or feedback, contact us at contact@institutional.org.
By accessing or downloading the dataset or otherwise using the Service, you agree to the following:
Noncommercial Use Only
You may use the Service solely for noncommercial purposes. Open-source projects and other public-use efforts are welcome, even if they may indirectly support commercial use, so long as they are unaffiliated with commercial actors or intent.If you are affiliated with a commercial organization or plan to use the Service for commercial purposes (including AI model training), you will contact us first at contact@institutional.org.
No Redistribution
You may not share or redistribute the Service or any of the data provided through the Service, in whole or in part, including through public repositories or aggregators. If you want others to access it, please direct them to the attribution link.Derivative Works
You may create derivative works for noncommercial use, but you may not make available any such derivative works that substantially reproduce the original dataset. Only outputs that are significantly transformed and cannot substitute for the original—such as evaluations, summary statistics, or visualizations—may be shared, with attribution.Attribution
If you use the dataset in public-facing work, you must include attribution substantially similar to:Institutional Proceedings provided by the Institutional Data Initiative with source material contributed by the University of Michigan, available at https://institutional.org.
Minor modifications to fit citation style or formatting are permitted, provided the essential elements remain intact.
Provisional Terms
These terms apply only to this release and may change. We are actively working with contributing institutions to develop a long-term framework for responsible, open data sharing.DISCLAIMER OF WARRANTY
TO THE FULLEST EXTENT PERMITTED BY APPLICABLE LAW, ACCESS TO “SERVICE IS PROVIDED “AS IS” WITHOUT WARRANTY OF ANY KIND (EXPRESS, IMPLIED, OR OTHERWISE), INCLUDING, WITHOUT LIMITATION, ANY IMPLIED WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, OR NONINFRINGEMENT. WE DO NOT WARRANT THAT THE SERVICE WILL OPERATE IN AN UNINTERRUPTED OR ERROR-FREE MANNER OR THAT THE SERVICE IS FREE OF VIRUSES OR OTHER HARMFUL COMPONENTS. WITHOUT LIMITING THE FOREGOING, WE DO NOT WARRANT THAT (A) THE SERVICE WILL MEET YOUR REQUIREMENTS OR EXPECTATIONS OR ACHIEVE THE INTENDED PURPOSES; (B) THE SERVICE WILL NOT EXPERIENCE OUTAGES OR OTHERWISE WILL BE UNINTERRUPTED, TIMELY, OR SECURE; (C) THE INFORMATION OR SERVICES OBTAINED THROUGH OR FROM THE SERVICE WILL BE ACCURATE, COMPLETE, CURRENT, ERROR-FREE, OR RELIABLE; (D) ANY DEFECTS IN OR ON THE SERVICE WILL BE CORRECTED; OR (E) THAT ANY POLLS OR OTHER SOLICITATIONS OF INFORMATION POSTED THROUGH THE SERVICE BY YOU OR OTHER USERS ARE SAFE OR APPROPRIATE FOR YOUR OR OTHER USERS’ PARTICIPATION. WE MAKE NO REPRESENTATION OR WARRANTY REGARDING YOUR ABILITY TO TRANSMIT AND RECEIVE INFORMATION FROM OR THROUGH THE SERVICE, AND YOU AGREE AND ACKNOWLEDGE THAT YOUR ABILITY TO ACCESS THE SERVICE MAY BE IMPAIRED.LIMITATION OF LIABILITY
EXCEPT INSOFAR AS THE FOLLOWING LIMITATION MAY BE PROHIBITED BY APPLICABLE LAW, WE SHALL NOT BE LIABLE TO YOU OR TO ANY THIRD PARTY FOR ANY DIRECT, CONSEQUENTIAL, INDIRECT, PUNITIVE, SPECIAL, OR INCIDENTAL DAMAGES, WHETHER FORESEEABLE OR UNFORESEEABLE (INCLUDING, BUT NOT LIMITED TO, LOSS OF PROFITS OR EARNING POWER, LOSS OF DATA, LOSSES DUE TO ERRORS OR INTERRUPTION IN AVAILABILITY OF THE SERVICE, UNAVAILABILITY OF ANY SERVICE, SERVER, OR COMMUNICATIONS FACILITY, OR DAMAGES DUE TO ACTS OR OMISSIONS OF OTHERS USING THE SERVICE), ARISING OUT OF OR RELATING TO THE SERVICE, INCLUDING WITHOUT LIMITATION YOUR AND OTHERS’ USE OF OR INABILITY TO USE THE SERVICE, OR YOUR RELIANCE UPON INFORMATION OBTAINED FROM OR THROUGH THE SERVICE, WHETHER BASED IN CONTRACT, TORT, STATUTORY, OR OTHER LAW. OUR TOTAL CUMULATIVE LIABILITY TO YOU ARISING OUT OF OR RELATED TO THE SERVICE (INCLUDING, WITHOUT LIMITATION, IN THE WAYS DESCRIBED IN THE PRECEDING SENTENCE), WHETHER BASED IN CONTRACT, TORT, STATUTORY, OR OTHER LAW, WILL NOT EXCEED THE AMOUNT, IF ANY, THAT YOU PAID US TO USE THE SERVICE IN THE TWELVE MONTHS PRECEDING THE CLAIM. THE DISCLAIMERS AND LIMITATIONS SET FORTH IN THIS SECTION SHALL APPLY, TO THE MAXIMUM EXTENT PERMITTED BY APPLICABLE LAW, WHETHER OR NOT WE HAVE BEEN NEGLIGENT OR OTHERWISE AT FAULT.
YOU ACKNOWLEDGE THAT, FOR PURPOSES OF THE FOREGOING DISCLAIMERS AND LIMITATIONS, AS WELL AS THE INDEMNITY PROVISION IN SECTION 8 BELOW, THE TERMS “WE,” “OUR,” “US,” “INSTITUTIONAL DATA INITIATIVE,” AND “IDI” INCLUDE THE CORPORATE BODY PRESIDENT AND FELLOWS OF HARVARD COLLEGE, ALSO KNOWN AS HARVARD UNIVERSITY, AND ITS VARIOUS SCHOOLS, THE MEMBERS OF ITS GOVERNING BOARDS, AND ITS OFFICERS, FACULTY MEMBERS, EMPLOYEES, FELLOWS, AND TO THE EXTENT WORKING ON IDI, ITS STUDENTS, CONTRACTORS, AND REPRESENTATIVES.Indemnification
You agree to indemnify us and hold us harmless from any and all claims, liabilities, damages, losses and expenses, including reasonable attorneys’ fees and costs, relating to or arising out of (a) your use or attempted use of the Service in violation of these Terms of Service; or (b) your violation of any law or rights of any third party in connection with your use of the Service.Governing Law/ Jurisdiction
You agree that the Terms of Service and any claim or dispute arising out of or relating to the Service or Terms of Service will be governed by the laws of the Commonwealth of Massachusetts, excluding its conflicts of laws principles. You agree that all such claims and disputes will be heard and resolved exclusively in the federal or state courts located in and serving Middlesex or Suffolk County, Massachusetts, U.S.A. You consent to the personal jurisdiction of those courts over you for this purpose, and you waive and agree not to assert any objection to such proceedings in those courts (including any defense or objection of lack of proper jurisdiction or inconvenience of forum).Whole Agreement/ Amendment
These Terms of Service constitute the entire agreement between you and Harvard with respect to your use of the Service. We reserve the right to amend these Terms of Service at any time. The Service will post notice of changes to the terms on this webpage, and by accessing the Service after modifications to these Terms of Service have been posted, you agree to be bound by all the modified terms. Accordingly, you should periodically revisit this page to review the then-current Terms of Service.
Disclaimers
Harmful Language and Content in this Dataset
This dataset is a collection of historical works that reflect the language, culture, and perspectives of their time. Users should be aware that some materials may contain language or portrayals that are outdated, offensive, or harmful today, such as racism, sexism, colonial attitudes, and other forms of discrimination. Some content may include inaccurate information, providing insight into historical contexts that existed at the time of writing. The text is maintained in its original form to retain contextual understanding and facilitate research efforts, but we encourage critical awareness and cultural sensitivity for the creators and/or subjects of the collection. These materials are offered as part of a historical perspective, but should not be considered a stand-alone research collection constructed to give a balanced perspective on any topic.
Harmful Language in Bibliographic Description
Metadata for this collection may contain language that is overtly or implicitly harmful, outdated, or biased, or may by omission fail to represent important perspectives. Metadata may contain language created decades ago. It is common practice within the field of library science to reuse descriptions provided from the creator of the materials. While in some instances this allows communities and individuals to represent their materials in their own words, unexamined use of this practice may mean that racist or other offensive terminologies appear in our description. We also use national standardized terms in our work that can be outdated and harmful. Note that terminology in historical materials and in library descriptions does not always match the language we currently understand to be preferred by members of the communities depicted.
Furthermore, we acknowledge that the act of collecting materials is not always neutral, and the work of describing and classifying library materials is influenced by inherent personal, institutional, and societal biases. Outdated or offensive terminologies may be present in metadata such as subject headings, and harmful language or bias may be introduced by catalogers supplying titles and descriptions. In other cases, books themselves present racist, offensive or otherwise harmful viewpoints in titles or descriptions that are routinely transcribed by catalogers.
Note: Some language in this statement was adopted from Harvard Library's statement on Harmful Language in Library collections.
Generated and Experimental Content
This dataset contains generated and/or experimental content. While reasonable care was taken to ensure its quality, it is provided "as is," without warranties of any kind. It may contain errors or inaccuracies; users should verify the data independently and apply their own judgment.
Rights determination
The Proceedings of the Board of Regents have been dedicated to the public domain by the Regents of the University of Michigan under a Creative Commons Zero (CC0) Public Domain Dedication, which waives all copyright and related rights to the extent possible under law
Citation
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