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Tern Client Services: Obligation register

Obligation register for Tern Client Services. 14 obligations pulled out of the three agreements, each naming the contract, the exact clause it comes from, who owns it, what triggers it and when it falls due. Every clause_ref resolves to a row of contract-clause-index.csv.

Preview, first 16 linescsv
obligation_id,contract_id,clause_ref,owner,obligation,trigger,due_rule,status
OBL-01,MSA-2026-01,2.2,both,Sign a statement of work before work starts,new engagement,before first recorded hour,met
OBL-02,MSA-2026-01,3.2,supplier,Issue one invoice per statement of work,first business day of the month,monthly,met
OBL-03,MSA-2026-01,3.2,client,Pay by the last day of the month of issue,invoice issued,2026-09-30 for the September cycle,open
OBL-04,MSA-2026-01,4.2,supplier,Get written approval before exceeding the expense cap,expense above the cap,before the expense is incurred,not triggered
OBL-05,MSA-2026-01,5.1,client,Accept or reject a deliverable within ten business days,deliverable delivered,ten business days from delivery,met for D1 and D2
OBL-06,MSA-2026-01,5.2,client,Record each acceptance on a certificate,acceptance,on acceptance,met
OBL-07,MSA-2026-01,8.2,supplier,Help answer an individual data request,client request,five business days,not triggered
OBL-08,MSA-2026-01,9.2,supplier,Fix a deliverable that stops conforming,defect reported in the warranty period,ninety days from acceptance,open
OBL-09,MSA-2026-01,11.1,supplier,Keep professional indemnity cover while a SOW is open,statement of work open,continuous,open
OBL-10,MSA-2026-01,12.3,both,Give sixty days notice to prevent renewal,intention not to renew,2027-11-05,open
OBL-11,NDA-2026-01,3.2,both,Report an unauthorised disclosure,disclosure discovered,two business days,not triggered
OBL-12,NDA-2026-01,5.1,both,Return or delete confidential information on request,written request,on request,not triggered
OBL-13,CTR-2026-01,3.2,supplier,Pay recorded contractor hours,hours submitted,fifteen days from submission,open
OBL-14,CTR-2026-01,7.2,both,Give thirty days notice to end the engagement,intention to end,2027-05-31,open

Specifications

Document Set
contracts
Industry
professional-services
Source Kit
crm-services
Entity
Tern Client Services
Synthetic
true
As Of
2026-09-08
Rows
14
Contracts
3
Dangling Clause Refs
0

Testing contract

Expected to pass
Scenario
Join contract_id and clause_ref against the clause index and check that no obligation points at a clause that does not exist.
Expected result
All 14 obligations resolve; the statuses are drawn from met, open and not triggered, and the two dated due_rule values, 2027-11-05 and 2027-05-31, are the same notice deadlines contract-register.csv holds.

What is a .csv file?

CSV (Comma-Separated Values) is a plain-text tabular format where rows are lines and fields are separated by commas, with quoting rules for values that contain delimiters, quotes, or newlines. It has no formal type system and depends on encoding and dialect conventions. It is the most portable format for tabular data exchange.

How to use this file

Use an example CSV to test parsers against quoting and embedded-delimiter edge cases, header handling, encoding detection, and import pipelines into databases or spreadsheets.

How to use this file for testing

“Tern Client Services: Obligation register” is a deterministic Testaroo fixture for Data import, CSV parsing. Realistic faker-generated datasets with documented schemas for testing import and ETL flows.

Documented properties for this file: 14 rows. Compare results against paired or grouped companions on this page when present (clean↔damaged, searchable↔scanned, or format twins) so scores stay reproducible across runs.

Download the file once, keep the path stable in CI or local scripts, and treat the spec table as the contract: dimensions, seeds, field lists, and roles are intentional. Corrupt or invalid samples are labelled as such, expect parsers to fail loudly rather than silently accept them.

Data fixtures document their exact quirks (delimiters, encodings, null handling, schema, and row counts) in the spec table. Point your parser or importer at the file and assert it handles the documented edge cases; clean and deliberately-messy siblings make before/after diffs straightforward.

Code examples

import pandas as pd

df = pd.read_csv("contract-obligations.csv")
print(df.head())
print(df.dtypes)

Generated by generation/industry_documents_two.py. Free for any use, no attribution required, license.