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4.06k
schema_extract-0007ced2428a3bcf
<|start|><|user|> Answer each line of the template from the current report. item_numbers: ____ item_7_01_heading: ____ heading_item_801: ____ item_9_01_title: ____ (item_numbers = the Item numbers reported, as a list of strings like "2.02"; item_7_01_heading = the heading printed for Item 7.01; heading_item_801 = the h...
schema_extract
template
has_null
edgar-8k
8k:cik:0000799698
{"object": [["item_numbers", "8.01; 9.01"], ["item_7_01_heading", "N/A"], ["heading_item_801", "Other Events"], ["item_9_01_title", "Financial Statements and Exhibits"]], "items": [{"kind": "field", "field": "item_numbers", "key": "item_numbers", "q": "Answer each line of the template from the current report.\nitem_num...
chat
schema_extract|8k|edgar-8k:0000799698-15-000021|edgar-8k:0000808064-06-000068
314
schema_extract-0032c0612eb328a8
Output a single JSON object for the court docket using the keys listed. - referral_judge: the judge the case is referred to, as printed - nature_of_suit: the nature of suit as printed - filed_on: the date the case was filed (YYYY-MM-DD) - terminated_on: the date the case was terminated (YYYY-MM-DD) - first_answer_entry...
schema_extract
json
has_null
courtlistener-dockets
docket:mnd
{"object": {"referral_judge": "Hildy Bowbeer", "nature_of_suit": "830 Patent", "filed_on": "2013-07-31", "terminated_on": "2018-05-07", "first_answer_entry": null}, "items": [{"kind": "field", "field": "referred_judge", "key": "referral_judge", "q": "Output a single JSON object for the court docket using the keys liste...
plain
schema_extract|docket|courtlistener-docket:4295682|courtlistener-docket:6941323
1,314
schema_extract-0032ec06bf74e697
<|start|><|user|> Tabulate the following details of the current report. - items_count: how many Items are reported (integer) - item_7_01_title: the heading printed for Item 7.01 - item_9_01_title: the heading printed for Item 9.01 Use a Markdown table with the header | field | value |. If the document does not state a ...
schema_extract
table
no_null
edgar-8k
8k:cik:0000017313
{"object": [["items_count", "3"], ["item_7_01_title", "Regulation FD Disclosure"], ["item_9_01_title", "Financial Statements and Exhibits"]], "items": [{"kind": "field", "field": "item_count", "key": "items_count", "q": "Tabulate the following details of the current report.\n- items_count: how many Items are reported (...
chat
schema_extract|8k|edgar-8k:0000017313-22-000035|edgar-8k:0000831547-16-000110
435
schema_extract-003527570b99ade4
Fill every blank in the key: value form below, using the FR notice of rulemaking. num_cfr_parts: ____ action: ____ takes_effect: ____ department: ____ cfr_title_no: ____ (num_cfr_parts = how many CFR parts are listed (integer, 0 if none); action = the ACTION line without its final period; takes_effect = the effective d...
schema_extract
template
no_null
federal-register
fr:DEPARTMENT OF THE TREASURY
{"object": [["num_cfr_parts", "1"], ["action", "Final rule"], ["takes_effect", "2002-10-09"], ["department", "DEPARTMENT OF THE TREASURY"], ["cfr_title_no", "31"]], "items": [{"kind": "field", "field": "cfr_part_count", "key": "num_cfr_parts", "q": "Fill every blank in the key: value form below, using the FR notice of ...
plain
schema_extract|fr|fr:2013-19874|fr:02-25691
293
schema_extract-004053b7b487490a
<|start|><|user|> Return the Items in Section 9 (numbers starting with 9) from the Form 8-K as a JSON array. Each object has the keys "item" and "heading". Keep the order in which they appear. Return [] if there are none. Explain where each value comes from, then write Answer: and the result. """ Item 2.01 Results ...
schema_extract
list_records
nonempty
edgar-8k
8k:cik:0000910406
{"object": [{"item": "9.01", "heading": "Financial Statements and Exhibits"}], "items": [{"kind": "records", "q": "Return the Items in Section 9 (numbers starting with 9) from the Form 8-K as a JSON array.\nEach object has the keys \"item\" and \"heading\".\nKeep the order in which they appear.\nReturn [] if there are ...
chat
schema_extract|8k|edgar-8k:0000910406-13-000004|edgar-8k:0000006201-08-000054
347
schema_extract-004066f534969db6
Read the Form 8-K and return every Item reported as an array of JSON objects. Each object has the keys "number" and "title". Keep the order in which they appear. Return [] if there are none. Work through the fields, then give the final output after "Answer:". ``` Item 7. Financial Statements, Pro Forma Financial Infor...
schema_extract
list_records
nonempty
edgar-8k
8k:cik:0000927356
{"object": [{"number": "7", "title": "Financial Statements, Pro Forma Financial Information and Exhibits"}], "items": [{"kind": "records", "q": "Read the Form 8-K and return every Item reported as an array of JSON objects.\nEach object has the keys \"number\" and \"title\".\nKeep the order in which they appear.\nReturn...
plain
schema_extract|8k|edgar-8k:0000890566-99-000688|edgar-8k:0000927356-98-000478
933
schema_extract-004beb7566542aa2
[Task] Build a field | value table from the Federal Register preamble with exactly these rows. - action: the ACTION line without its final period - docket_id: the bracketed docket line without the brackets - regulation_identifier: the Regulation Identifier Number without "RIN" - subject: the subject line as printed - i...
schema_extract
table
has_null
federal-register
fr:FEDERAL COMMUNICATIONS COMMISSION
{"object": [["action", "Final rule"], ["docket_id", "WT Docket No. 06–150; CC Docket No. 94–102; WT Docket No. 01–309; WT Docket No. 03–264; WT Docket No. 06–169; PS Docket No. 06–229; WT Docket No. 96–86; FCC No. 07–72"], ["regulation_identifier", "not stated"], ["subject", "Service Rules for the 698–806 MHz Band and ...
qa
schema_extract|fr|fr:E7-15961|fr:E7-9334
976
schema_extract-005fcccd0f710115
<|start|><|user|> Here is a blank summary form. Fill it in from the case docket. first_order_no: ____ answer_entry_no: ____ cause_of_action: ____ entry_count: ____ (first_order_no = the number of the first shown entry whose text begins with the word Order, in any capitalization (integer); answer_entry_no = the number o...
schema_extract
template
has_null
courtlistener-dockets
docket:laed
{"object": [["first_order_no", "not stated"], ["answer_entry_no", "5"], ["cause_of_action", "42:1983 Prisoner Civil Rights"], ["entry_count", "6"]], "items": [{"kind": "field", "field": "first_order_entry", "key": "first_order_no", "q": "Here is a blank summary form. Fill it in from the case docket.\nfirst_order_no: __...
chat
schema_extract|docket|courtlistener-docket:6243116|courtlistener-docket:4510825
857
schema_extract-0062d83ab2b587b9
Question: Here is a blank summary form. Fill it in from the Federal Register document. subject: ____ cfr_title_no: ____ regulation_identifier: ____ agency_docket: ____ parts_listed: ____ (subject = the subject line as printed; cfr_title_no = the CFR title number (integer); regulation_identifier = the Regulation Identif...
schema_extract
template
has_null
federal-register
fr:DEPARTMENT OF TRANSPORTATION
{"object": [["subject", "Clarification on Fireworks Policy Regarding Display Aerial Shells With Attachments"], ["cfr_title_no", "49"], ["regulation_identifier", "unknown"], ["agency_docket", "Docket No. PHMSA–2013–0205; Notice No. 14–5"], ["parts_listed", "1"]], "items": [{"kind": "field", "field": "subject", "key": "s...
qa
schema_extract|fr|fr:E7-24346|fr:2014-22706
385
schema_extract-006f6c57c6335145
Fill out the following JSON fields from the civil docket. - case (object): - case_name: the case caption as printed - docket_number: the case number as printed - bench (object): - referral_judge: the judge the case is referred to, as printed - key_dates (object): - closing_date: the date the case was terminated...
schema_extract
json
has_null
courtlistener-dockets
docket:txwd
{"object": {"case": {"case_name": "Surratt v. The Travelers Home and Marine Insurance Company", "docket_number": "1:16-cv-00662"}, "bench": {}, "key_dates": {"closing_date": "2016-07-25"}, "category_info": {"jury_demand": "Both"}}, "items": [{"kind": "field", "field": "case_name", "key": "case_name", "q": "Fill out the...
plain
schema_extract|docket|courtlistener-docket:6340175|courtlistener-docket:4521654
1,224
schema_extract-007c45dbe0e1bfc4
Query: List every Item reported shown in the Form 8-K (JSON array of objects). Each object has the keys "item" and "heading". List them in document order. Return [] if there are none. Show your work briefly, then give the answer after "Answer:". --- Item 9. Regulation FDDisclosure The following information, inclu...
schema_extract
list_records
nonempty
edgar-8k
8k:cik:0000065873
{"object": [{"item": "9", "heading": "Regulation FDDisclosure"}], "items": [{"kind": "records", "q": "List every Item reported shown in the Form 8-K (JSON array of objects).\nEach object has the keys \"item\" and \"heading\".\nList them in document order.\nReturn [] if there are none.\nShow your work briefly, then give...
qa
schema_extract|8k|edgar-8k:0000065873-03-000030|edgar-8k:0000927016-97-000524
1,205
schema_extract-007e581a3bd86344
<|start|><|user|> Map the FR notice of rulemaking onto this JSON structure. - affected_parts: the CFR parts as a list of strings like "40 CFR part 52" - docket: the bracketed docket line without the brackets - cfr_part_count: how many CFR parts are listed (integer, 0 if none) Write the string "not stated" for any field...
schema_extract
json
has_null
federal-register
fr:DEPARTMENT OF DEFENSE
{"object": {"affected_parts": ["32 CFR part 202"], "docket": "not stated", "cfr_part_count": 1}, "items": [{"kind": "field", "field": "cfr_parts", "key": "affected_parts", "q": "Map the FR notice of rulemaking onto this JSON structure.\n- affected_parts: the CFR parts as a list of strings like \"40 CFR part 52\"\n- doc...
chat
schema_extract|fr|fr:03-11824|fr:05-1550
362
schema_extract-00a6914e7e40b1f5
Fill in a two-column table (field | value) for the case docket, rows in this order: - case_title: the case caption as printed - cause: the cause line as printed - filing_date: the date the case was filed (YYYY-MM-DD) - closing_date: the date the case was terminated (YYYY-MM-DD) - entry_count: how many docket entries ar...
schema_extract
table
no_null
courtlistener-dockets
docket:dcd
{"object": [["case_title", "PROTECT DEMOCRACY PROJECT, INC. v. U.S. DEPARTMENT OF JUSTICE"], ["cause", "05:552 Freedom of Information Act"], ["filing_date", "2017-08-10"], ["closing_date", "2019-07-02"], ["entry_count", "12"], ["last_filed", "2017-11-29"]], "items": [{"kind": "field", "field": "case_name", "key": "case...
plain
schema_extract|docket|courtlistener-docket:7890970|courtlistener-docket:6136379
1,551
schema_extract-00b71cf7b7d6dcb4
Record these FR notice of rulemaking details in a two-column table. - comment_close_date: the comment deadline (YYYY-MM-DD) - bureau: the sub-agency heading under the agency, as printed - agency_heading: the top agency heading exactly as printed Use a Markdown table with the header | field | value |. Use N/A for any va...
schema_extract
table
no_null
federal-register
fr:DEPARTMENT OF LABOR
{"object": [["comment_close_date", "2002-08-30"], ["bureau", "Occupational Safety and Health Administration"], ["agency_heading", "DEPARTMENT OF LABOR"]], "items": [{"kind": "field", "field": "comment_deadline", "key": "comment_close_date", "q": "Record these FR notice of rulemaking details in a two-column table.\n- co...
plain
schema_extract|fr|fr:02-16393|fr:2016-31286
425
schema_extract-00c0adcf9487099f
<|start|><|user|> Complete this template from the case docket. forum: ____ statutory_cause: ____ jury_demand: ____ date_terminated: ____ answer_entry_no: ____ (forum = the court, written like "U.S. District Court, Eastern District of Arkansas"; statutory_cause = the cause line as printed; jury_demand = who demanded a j...
schema_extract
template
no_null
courtlistener-dockets
docket:nysd
{"object": [["forum", "U.S. District Court, Southern District of New York"], ["statutory_cause", "35:145 Civil Action to Obtain Patent"], ["jury_demand", "Defendant"], ["date_terminated", "2008-05-29"], ["answer_entry_no", "7"]], "items": [{"kind": "field", "field": "court", "key": "forum", "q": "Complete this template...
chat
schema_extract|docket|courtlistener-docket:4932970|courtlistener-docket:4322838
1,700
schema_extract-00d761d13aab04d0
<|start|><|user|> Fill out the following JSON fields from the rule document. Object "agency_info" holds sub_agency (the sub-agency heading under the agency, as printed). Object "regulation" holds cfr_parts (the CFR parts as a list of strings like "40 CFR part 52"), title_number (the CFR title number (integer)). Leave o...
schema_extract
json
no_null
federal-register
fr:DEPARTMENT OF HEALTH AND HUMAN SERVICES
{"object": {"agency_info": {"sub_agency": "Food and Drug Administration"}, "regulation": {"cfr_parts": ["21 CFR part 1", "21 CFR part 11", "21 CFR part 16", "21 CFR part 106", "21 CFR part 110", "21 CFR part 111", "21 CFR part 112", "21 CFR part 114", "21 CFR part 117", "21 CFR part 120", "21 CFR part 123", "21 CFR par...
chat
schema_extract|fr|fr:2011-26664|fr:2016-20176
853
schema_extract-00e85371d19b9b1b
Query: Return a JSON object with the following keys, taken from the civil docket. - case (object): - docket_no: the case number as printed - judges (object): - assigned_judge: the assigned (presiding) judge as printed - referral_judge: the judge the case is referred to, as printed - entries (object): - entry_co...
schema_extract
json
no_null
courtlistener-dockets
docket:vaed
{"object": {"case": {"docket_no": "3:16-cv-00766"}, "judges": {"assigned_judge": "Henry E. Hudson", "referral_judge": "David J. Novak"}, "entries": {"entry_count": 6}}, "items": [{"kind": "field", "field": "docket_number", "key": "docket_no", "q": "Return a JSON object with the following keys, taken from the civil dock...
qa
schema_extract|docket|courtlistener-docket:4536492|courtlistener-docket:4565272
786
schema_extract-00f1e87eddde6019
Answer each line of the template from the Federal Register preamble. action_line: ____ agency_docket: ____ rin_number: ____ (action_line = the ACTION line without its final period; agency_docket = the bracketed docket line without the brackets; rin_number = the Regulation Identifier Number without "RIN".) Fill a blank ...
schema_extract
template
has_null
federal-register
fr:SECURITIES AND EXCHANGE COMMISSION
{"object": [["action_line", "Publication of staff accounting bulletin"], ["agency_docket", "Release No. SAB 106"], ["rin_number", "not stated"]], "items": [{"kind": "field", "field": "action", "key": "action_line", "q": "Answer each line of the template from the Federal Register preamble.\naction_line: ____\nagency_doc...
plain
schema_extract|fr|fr:04-22186|fr:2023-26479
315
schema_extract-014515c0bd713313
Request: Answer each line of the template from the docket sheet. docket_number: ____ nos: ____ terminated_on: ____ latest_entry: ____ (docket_number = the case number as printed; nos = the nature of suit as printed; terminated_on = the date the case was terminated (YYYY-MM-DD); latest_entry = the filing date of the las...
schema_extract
template
has_null
courtlistener-dockets
docket:ilcd
{"object": [["docket_number", "1:13-cv-01593"], ["nos", "376 Qui Tam"], ["terminated_on", "unknown"], ["latest_entry", "2015-09-10"]], "items": [{"kind": "field", "field": "docket_number", "key": "docket_number", "q": "Answer each line of the template from the docket sheet.\ndocket_number: ____\nnos: ____\nterminated_o...
qa
schema_extract|docket|courtlistener-docket:7357679|courtlistener-docket:6580822
957
schema_extract-018150483215178e
<|start|><|user|> Pull these fields out of the Federal Register preamble. Output JSON only. - issuer (object): - issuing_agency: the top agency heading exactly as printed - sub_agency_heading: the sub-agency heading under the agency, as printed - cfr (object): - cfr_part_count: how many CFR parts are listed (inte...
schema_extract
json
no_null
federal-register
fr:DEPARTMENT OF HEALTH AND HUMAN SERVICES
{"object": {"issuer": {"issuing_agency": "DEPARTMENT OF HEALTH AND HUMAN SERVICES", "sub_agency_heading": "Food and Drug Administration"}, "cfr": {"cfr_part_count": 1}, "doc": {"action_line": "Final rule", "title": "Irradiation in the Production, Processing, and Handling of Animal Feed and Pet Food; Irradiation"}}, "it...
chat
schema_extract|fr|fr:02-10096|fr:01-8719
384
schema_extract-0186eb3a86ae9d1f
Build a JSON array with one object for each of the defendants in the case docket. Each object has the keys "party_name" and "side". List them in document order. Return [] if there are none. Explain where each value comes from, then write Answer: and the result. Passage: U.S. District Court District of Oregon CIVIL DOC...
schema_extract
list_records
nonempty
courtlistener-dockets
docket:ord
{"object": [{"party_name": "Aqua Glass, Inc., a foreign business corporation", "side": "Defendant"}], "items": [{"kind": "records", "q": "Build a JSON array with one object for each of the defendants in the case docket.\nEach object has the keys \"party_name\" and \"side\".\nList them in document order.\nReturn [] if t...
plain
schema_extract|docket|courtlistener-docket:5266668|courtlistener-docket:5167720
1,396
schema_extract-0196f2c58822425f
Instruction: Tabulate the following details of the rule document. - affected_parts: the CFR parts as a list of strings like "40 CFR part 52" - cfr_title: the CFR title number (integer) - num_cfr_parts: how many CFR parts are listed (integer, 0 if none) - agency_docket: the bracketed docket line without the brackets - r...
schema_extract
table
has_null
federal-register
fr:FARM CREDIT ADMINISTRATION
{"object": [["affected_parts", "12 CFR part 614; 12 CFR part 620; 12 CFR part 630"], ["cfr_title", "12"], ["num_cfr_parts", "3"], ["agency_docket", "N/A"], ["rin_number", "3052–AC07"]], "items": [{"kind": "field", "field": "cfr_parts", "key": "affected_parts", "q": "Tabulate the following details of the rule document.\...
qa
schema_extract|fr|fr:04-11025|fr:E6-14161
494
schema_extract-01ab31b13f9cf683
Q: Extract every Item reported from the current report. Output a JSON array. Each object has the keys "item" and "heading". List them in document order. Output [] when nothing matches. Explain where each value comes from, then write Answer: and the result. Excerpt: ITEM 5. OTHER EVENTS On August 28, 2000, a...
schema_extract
list_records
nonempty
edgar-8k
8k:cik:0000912057
{"object": [{"item": "5", "heading": "OTHER EVENTS"}, {"item": "7", "heading": "FINANCIAL STATEMENTS AND EXHIBITS"}], "items": [{"kind": "records", "q": "Extract every Item reported from the current report. Output a JSON array.\nEach object has the keys \"item\" and \"heading\".\nList them in document order.\nOutput []...
qa
schema_extract|8k|edgar-8k:0000912057-00-040851|edgar-8k:0000914233-98-000069
504
schema_extract-01c5cbf8d242d65c
Return a JSON object with the following keys, taken from the civil docket. {"referred_judge": "...", "latest_entry": "YYYY-MM-DD", "case_name": "...", "date_terminated": "YYYY-MM-DD"} Where: referred_judge = the judge the case is referred to, as printed; latest_entry = the filing date of the last shown entry (YYYY-MM-D...
schema_extract
json
no_null
courtlistener-dockets
docket:mied
{"object": {"referred_judge": "Mona K. Majzoub", "latest_entry": "2008-11-25", "case_name": "United States v. Vessel 2006 Bayliner Watercraft HIN B1YB98CRH506", "date_terminated": "2018-07-30"}, "items": [{"kind": "field", "field": "referred_judge", "key": "referred_judge", "q": "Return a JSON object with the following...
plain
schema_extract|docket|courtlistener-docket:5549361|courtlistener-docket:7023232
1,370
schema_extract-01cf90d0f2848dfa
<|start|><|user|> Finish this checklist from the Federal Register document. cfr_references: ____ department: ____ regulation_identifier: ____ (cfr_references = the CFR parts as a list of strings like "40 CFR part 52"; department = the top agency heading exactly as printed; regulation_identifier = the Regulation Identif...
schema_extract
template
no_null
federal-register
fr:DEPARTMENT OF DEFENSE
{"object": [["cfr_references", "32 CFR part 887"], ["department", "DEPARTMENT OF DEFENSE"], ["regulation_identifier", "0701–AA90"]], "items": [{"kind": "field", "field": "cfr_parts", "key": "cfr_references", "q": "Finish this checklist from the Federal Register document.\ncfr_references: ____\ndepartment: ____\nregulat...
chat
schema_extract|fr|fr:2010-28551|fr:2019-21172
297
schema_extract-01e284be8613e969
<|start|><|user|> Read the FR notice of rulemaking and fill in this JSON schema. - ids (object): - docket: the bracketed docket line without the brackets - rin: the Regulation Identifier Number without "RIN" - regulation (object): - affected_parts: the CFR parts as a list of strings like "40 CFR part 52" - titl...
schema_extract
json
has_null
federal-register
fr:DEPARTMENT OF AGRICULTURE
{"object": {"ids": {"docket": "Doc. No. AMS–FV–14–0015; FV14–906–2 FIR"}, "regulation": {"affected_parts": ["7 CFR part 906"], "title_number": 7, "num_cfr_parts": 1}, "doc": {"action": "Affirmation of interim rule as final rule"}}, "items": [{"kind": "field", "field": "docket", "key": "docket", "q": "Read the FR notice...
chat
schema_extract|fr|fr:2013-01555|fr:2014-15594
486
schema_extract-01e88b9c3aa46e7f
Task: From the court docket below, build a JSON object with exactly these keys. - case_info (object): - case_no: the case number as printed - caption: the case caption as printed - judges (object): - assigned_to: the assigned (presiding) judge as printed - key_dates (object): - latest_entry: the filing date of ...
schema_extract
json
has_null
courtlistener-dockets
docket:ilnd
{"object": {"case_info": {"case_no": "1:16-cv-01632", "caption": "Anderson v. Ford Motor Company"}, "judges": {"assigned_to": null}, "key_dates": {"latest_entry": "2016-03-31", "terminated_on": "2020-05-14"}}, "items": [{"kind": "field", "field": "docket_number", "key": "case_no", "q": "From the court docket below, bui...
qa
schema_extract|docket|courtlistener-docket:7366208|courtlistener-docket:4507862
1,420
End of preview. Expand in Data Studio

ALEA schema extraction

Schema extraction from real public-record documents. Each row asks for a structured record of ONE document in a target schema: a JSON object (flat or nested, with row-specific key names), a field | value table, a fill-in template, a JSON array of records with a filter (parties of one role, Items of one section, exhibits of one series), or a conversion where a worked example in one schema and format is shown for another document and the target uses different keys and a different format. Fields that the document does not state must follow the null convention stated in the instruction (null, "not stated", omit the key, N/A, "none given" or "unknown").

No language model wrote any part of this data. Instructions are hand-written templates (10+ wordings per kind); every gold value comes from code over the document text and its metadata; worked explanations are rendered by code from the evidence line of each field.

Sources (public record)

source documents shown gold from
Federal Register rule and proposed-rule preambles (daily-issue XML, 2000-2023) agency heading through DATES paragraph, as printed XML elements (agency, sub-agency, CFR lines, docket line, RIN, subject, ACTION); effective date / comment deadline only from plain DATES sentences, any other date-bearing sentence makes the field unaskable
CourtListener district-court civil dockets PACER-style docket sheet: a header in one of four real label layouts, parties with roles (only when every party has one clean role), the first 6-14 numbered entries verbatim docket metadata (judge, referral judge, cause, nature of suit, jury demand, filed / terminated dates); entry-derived fields by fixed rules over the shown entries
Form 8-K current reports (EDGAR) the body from the first Item head through the signature block; the cover page is never shown strict parser: Item heads, exhibit lists, signature block; any ambiguity drops the field or the document

Composition of the released rows: 5,368 documents, 4.16M tokens (alea-v2b-sw32k); court dockets 40%, Federal Register 35%, Form 8-K 25%; 424 strata (agency / court / filer), none above 3% of rows. Kinds: JSON 38%, table 20%, template 20%, record lists 16%, conversion 5%. 35% of rows show a short worked explanation before the answer; each has a direct-answer twin of the same item in another row of its group. Presentations: plain 40%, question/answer frame 29%, chat 31%.

Gold and abstention

  • 17% of requested fields are not stated in their document; every such null is verified absent (the label or sentence is not printed in the shown text). Groups pair two documents asked with the same schema, and the schema always holds a field that is stated in one document and not in the other, so the question alone does not reveal the null.
  • A question-only classifier (bag of 1-2-grams, grouped 5-fold) predicts null vs stated no better than the per-field prior on every field with enough rows (largest lift +1.6 points).
  • Every answer is parsed back with a real parser (JSON / table / key: value) and equals the stored gold object, key order included. In conversion rows no value of the example answer appears in the target answer.
  • Rows with an e-mail address, phone number, street address (with or without house number), P.O. box or postcode were dropped, not edited. Public-record names (parties, judges, companies, officials) are kept.

Review

The builder read 204 rows across six builds (30 on the final build, no errors) against their source passages and fixed every generator issue found (8-K heading and "Not Applicable" Item handling, entry-rule edge cases, borderline sub-agency nulls). A blind review of 60 fresh rows by an independent reviewer that saw only the rendered rows found no wrong values, wrong nulls, schema violations or copied examples (4 minor notes on wording and source-text artifacts).

Release v2 (added rows)

v2 adds 6,118 rows (5.08M tokens) to the 5,368 rows of release v1; v1 rows are unchanged.

Contract excerpts (3,416 rows). Excerpts of EDGAR exhibit-10 agreements. The main excerpt is the opening of the agreement (title, opening paragraph naming the parties, recitals, and the term clause when it is near the start); for short agreements it can run on, in one piece, through the governing-law clause. It is sometimes followed by a second verbatim excerpt from later in the same agreement (a numbered clause, the governing-law clause or the signature page), labelled only by its section number ("Excerpt 2 (Section 14)") or "later in the agreement". Each row asks for only 2-4 fields (parties, the labels the opening paragraph gives them, the agreement date, the effective date, the title, the initial term, sometimes the governing law), and the answer contains exactly the requested keys:

  • 51% of rows: fields people often expect in a contract record (signatures, fees, governing law, notice details) are not in the excerpt and are not requested;
  • 34%: such fields ARE printed in the excerpt (a salary or fee, a governing-law clause, a signature page with names and titles) but are not requested, and the answer leaves them out;
  • 15%: a requested field is not stated in the excerpt (a term, a governing-law clause) and takes the stated null convention.

Governing law is requested about as often when it is printed as when it is not (47% stated). Stated values come either from a second excerpt or from the clause inside a single long excerpt. Null requests appear both with no second excerpt and with one that holds a different clause. Neither the presence nor the label of a second excerpt predicts null vs stated (baseline "stated iff a second excerpt is shown": 48.7% vs a 53.2% prior).

How values are taken:

  • Parties come only from a strict parse of a two-party opening paragraph ("by and between X (...) and Y (...)") in which both parties carry exactly one quoted label. Three or more parties, nested labels and syndicate language are skipped. So are documents in which another instrument (a grant notice, a cover agreement, another "by and between" paragraph, a vesting schedule) comes before the agreement.
  • Labels are given as quoted, without a leading "the" ("the Company" -> Company); the instructions say so. Documents whose label holds anything but letters, spaces, periods and hyphens (stray quotes, OCR residue, digits), or starts with a capitalised "The" that may be part of a name, were dropped (30 documents).
  • The agreement date is the single as of / dated / made date in that paragraph. The effective date is asked only when the paragraph says "effective" and no other effective, commencement or start date appears in the shown text.
  • The initial term is the verbatim span of the agreement's own term sentence ("the term of this Agreement shall be three (3) years ..."). Sentences about renewal, severance, notice, vesting, non-competition or periods "after" an event are never used. When the term sentence gives only an end ("until December 31, 2009", "until terminated") and no length is printed, the term is null (49 rows).
  • Governing law comes only from a governing-law sentence ("governed by / construed in accordance with the laws of"). It is never taken from a state of incorporation. An excerpt used as the governing-law clause always contains that language.
  • A second excerpt comes from the same agreement: never from past an exhibit, schedule or annex heading, or another opening paragraph. It must mention a party, a party label or a defined term of the first excerpt, and it must not introduce a party role (Pledgor, Lender, Guarantor ...) or a "this ... Agreement" title that the first excerpt does not have. A signature page must name a party of the first excerpt. It is always a complete paragraph.
  • Rows whose copied value (name, label, title) holds OCR residue, such as a run of dashes or underscores, are dropped, for every source.
  • Each source agreement belongs to exactly one group, and the same excerpt is asked with different field sets in different rows of that group.
  • Excerpts that print an e-mail, phone number or street address were dropped.

Re-admitted rows (2,702 rows). Federal Register and docket rows from the v1 build that an earlier screen had dropped only for sharing a 13-word span with held-out evaluation rows of an older family. A refined screen drops a row if it shares any span with an evaluation item, or at least 8 non-boilerplate 13-word spans with one held-out file; 32 rows stay dropped. The re-admitted rows passed the full decontamination chain again under new ids.

Checks.

  • Every answer parses back to its gold object.
  • On every contract row the set of answer keys equals the set of requested keys (0 exceptions).
  • A question-only classifier predicts null vs stated no better than the per-field prior (lift <= 0 on every field).
  • Code checks on every encoded contract row, all 0 exceptions: label characters and no leading "the"; the governing-law excerpt holds governing-law language; a neutral second-excerpt label; no other instrument inside a second excerpt; no effective date beside a defined commencement or start date; every stated term printed in the text.
  • The builder read 137 v2 rows against their excerpts; a final 40-row check by the reviewer found 2 errors (OCR dashes inside a name; a second excerpt from an attached pledge agreement), now prevented by the two gates above.
  • Blind review round 1 (60 rows) found 6 errors: a term taken from a severance or renewal sentence, an effective date confused with the agreement date, a second instrument before the agreement, a governing-law request that implied null, and conflicting format instructions. The build was regenerated with the rules above.
  • Blind review round 2 (60 fresh rows, 57 contract rows) found 1 error (junk in a quoted label) and 4 minor issues (a second excerpt from an attached agreement, a second excerpt mislabelled as the governing-law clause, an inconsistent leading "the", an effective date beside a later commencement date). These fixes, verified by code checks, are in this release.
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