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"basis",
"method",
"of",
"financial",
"reporting",
",",
"using",
"appropriate",
"accounting",
"policies",
"in",
"acc... | [
[
146,
147,
"DATA_MENTION"
]
] | fcv | fcv_pads_east_africa | fcv_pads_east_africa:000398 | 17 | 1 | train | [
{
"text": "accounting records",
"pred": "NON_MENTION",
"luna_label": 0,
"head_score": 0.0485273972,
"threshold": 0.5,
"start": 709,
"end": 727,
"key": "fcv_pads_east_africa:000398:17:1:0",
"source": "camp2"
}
] |
[
"/",
"sup",
">",
"-",
"Development",
"of",
"Application",
"Programming",
"<",
"sup",
">",
"Interfaces",
"to",
"<",
"/",
"sup",
">",
"<",
"sup",
">",
"allow",
"<",
"/",
"sup",
">",
"<",
"sup",
">",
"for",
"<",
"/",
"sup",
">",
"<",
"sup",
">",
"... | [
[
61,
63,
"DATA_MENTION"
]
] | fcv | fcv_pads_east_africa | fcv_pads_east_africa:000402 | 15 | 1 | train | [
{
"text": "labour market data",
"pred": "DATA_MENTION",
"luna_label": 0,
"head_score": 0.7400847673,
"threshold": 0.5,
"start": 186,
"end": 204,
"key": "fcv_pads_east_africa:000402:15:1:0",
"source": "camp2"
}
] |
[
"ment",
"Project",
"(",
"A",
"/",
"C",
"*",
"*",
"Opening",
"balance",
"(",
"as",
"per",
"the",
"*",
"*",
"SDA",
"*",
"*",
"reconciliation",
")",
"*",
"*",
"1",
",",
"456",
",",
"520",
",",
"303",
"*",
"*",
"*",
"*",
"1",
",",
"186",
",",
"... | [
[
67,
69,
"DATA_MENTION"
]
] | fcv | fcv_pads_east_africa | fcv_pads_east_africa:000410 | 58 | 1 | train | [
{
"text": "Statement of Receipts",
"pred": "NON_MENTION",
"luna_label": 0,
"head_score": 0.2797557712,
"threshold": 0.5,
"start": 200,
"end": 221,
"key": "fcv_pads_east_africa:000410:58:1:0",
"source": "camp2"
}
] |
[
"Kenya",
"Power",
"and",
"Lighting",
"Company",
"PLC",
"Kenya",
"*",
"*",
"Off",
"*",
"*",
"grid",
"Solar",
"Access",
"Project",
"(",
"KOSAP",
")",
"Annual",
"Report",
"and",
"Financial",
"Statements",
"for",
"the",
"financial",
"year",
"ended",
"June",
"*... | [
[
154,
155,
"DATA_MENTION"
]
] | fcv | fcv_pads_east_africa | fcv_pads_east_africa:000418 | 9 | 0 | train | [
{
"text": "site surveys",
"pred": "NON_MENTION",
"luna_label": 0,
"head_score": 0.1065378934,
"threshold": 0.5,
"start": 712,
"end": 724,
"key": "fcv_pads_east_africa:000418:9:0:0",
"source": "camp2"
}
] |
[
"*",
"a",
"*",
"*",
"<",
"/",
"sup",
">",
"<",
"sup",
">",
"true",
"<",
"/",
"sup",
">",
"<",
"sup",
">",
"and",
"<",
"/",
"sup",
">",
"<",
"sup",
">",
"fair",
"view",
"of",
"<",
"/",
"sup",
">",
"the",
"state",
"of",
"affairs",
"of",
"th... | [
[
156,
157,
"DATA_MENTION"
]
] | fcv | fcv_pads_east_africa | fcv_pads_east_africa:000432 | 20 | 1 | train | [
{
"text": "accounting records",
"pred": "NON_MENTION",
"luna_label": 0,
"head_score": 0.026805738,
"threshold": 0.5,
"start": 455,
"end": 473,
"key": "fcv_pads_east_africa:000432:20:1:0",
"source": "camp2"
}
] |
[
"*",
"*",
"_Zamconsult",
"Consulting",
"Engineers_",
"*",
"*",
"*",
"*",
"_MARCH",
"202_",
"*",
"*",
"*",
"*",
"_",
"~",
"~",
"2",
"~",
"~",
"_",
"*",
"*",
"i",
".",
"To",
"ensure",
"the",
"list",
"of",
"all",
"PAPs",
"has",
"been",
"verified",
... | [
[
40,
41,
"DATA_MENTION"
]
] | fcv | fcv_pads_east_africa | fcv_pads_east_africa:000444 | 23 | 0 | train | [
{
"text": "PAPs register",
"pred": "DATA_MENTION",
"luna_label": 0,
"head_score": 0.7639562488,
"threshold": 0.5,
"start": 142,
"end": 155,
"key": "fcv_pads_east_africa:000444:23:0:0",
"source": "camp2"
}
] |
[
"*",
"*",
"_Zamconsult",
"Consulting",
"Engineers_",
"*",
"*",
"*",
"*",
"_MARCH",
"202_",
"*",
"*",
"*",
"*",
"_",
"~",
"~",
"2",
"~",
"~",
"_",
"*",
"*",
"|",
"No",
".",
"ACTIVITY",
"|",
"March-22",
"|",
"Col3",
"|",
"April-22",
"|",
"Col5",
... | [
[
266,
268,
"DATA_MENTION"
]
] | fcv | fcv_pads_east_africa | fcv_pads_east_africa:000444 | 25 | 0 | train | [
{
"text": "Site Confirmation Survey",
"pred": "NON_MENTION",
"luna_label": 0,
"head_score": 0.1205590516,
"threshold": 0.5,
"start": 707,
"end": 731,
"key": "fcv_pads_east_africa:000444:25:0:0",
"source": "camp2"
}
] |
[
"*",
"*",
"_Zamconsult",
"Consulting",
"Engineers_",
"*",
"*",
"*",
"*",
"_MARCH",
"202_",
"*",
"*",
"*",
"*",
"_",
"~",
"~",
"2",
"~",
"~",
"_",
"*",
"*",
"*",
"*",
"6",
"*",
"*",
"*",
"*",
"MONITORING",
"AND",
"EVALUATION",
"*",
"*",
"A",
"... | [
[
313,
316,
"DATA_MENTION"
]
] | fcv | fcv_pads_east_africa | fcv_pads_east_africa:000444 | 30 | 0 | train | [
{
"text": "data for these indicators",
"pred": "NON_MENTION",
"luna_label": 0,
"head_score": 0.2415542156,
"threshold": 0.5,
"start": 1697,
"end": 1722,
"key": "fcv_pads_east_africa:000444:30:0:0",
"source": "camp2"
}
] |
[
".",
"The",
"data",
"for",
"these",
"indicators",
"will",
"be",
"collected",
"every",
"six",
"months",
"during",
"the",
"RAP",
"implementation",
"by",
"the",
"implementing",
"agency",
"which",
"is",
"KIMAWASCO",
",",
"SCRCC",
"and",
"an",
"independent",
"NGO",... | [
[
47,
48,
"DATA_MENTION"
]
] | fcv | fcv_pads_east_africa | fcv_pads_east_africa:000444 | 30 | 1 | train | [
{
"text": "monitoring data",
"pred": "NON_MENTION",
"luna_label": 0,
"head_score": 0.0518,
"threshold": 0.5,
"start": 272,
"end": 287,
"key": "sample:fcv_pads_east_africa:000444:30:1:0",
"source": "gold"
}
] |
End of preview. Expand in Data Studio
Datause NER (catch-all DATA_MENTION + probe configs)
Catch-all NER views over rafmacalaba/datause-probe-v3 passages (29,346 spans grouped into passage examples). Single entity type DATA_MENTION: every candidate span is tagged, keeps and drops alike — the probe head (not NER tags) owns the keep/drop boundary. No NAMED/DESCRIPTIVE/VAGUE subtypes, no NON_MENTION.
Per-origin thresholds (head best-F1, published holdout sweep)
| origin | threshold |
|---|---|
fcv_pads_east_africa |
0.5 |
general_prwp |
0.3 |
jad_paddy_docs |
0.3 |
jdc_operational |
0.5 |
refugee_pads |
0.6 |
reliefweb |
0.3 |
Columns
gliner:tokenized_text+ner— every candidate span taggedDATA_MENTION(catch-all; keeps and drops alike).gliner2:input+output(data_mention= all span strings).- Keep/drop lives in
spans[].luna_label+head_score/thresholdtraceability, not in tags — the probe head owns that boundary. - Traceability on every row:
corpus_id,page,chunk,split,spans(per-span text, pred, luna_label, head_score, threshold, char offsets, key, source). Luna keep/drop verdicts are preserved inspans[].luna_labelfor audit, but tagging follows the head-threshold operating point.
Splits
Doc-disjoint train / val / holdout, inherited from rafmacalaba/datause-probe-v3 (outputs/probe_v3_data), so NER splits match probe splits. See split_stats.json.
Usage
from datasets import load_dataset
gliner = load_dataset("rafmacalaba/datause-ner", "gliner")
gliner2 = load_dataset("rafmacalaba/datause-ner", "gliner2")
# catch-all supervision: every span is DATA_MENTION:
# gliner['train']['ner'] / gliner2['train']['output']
Files
gliner_{train,val,holdout}.jsonl,gliner2_{train,val,holdout}.jsonllabels.json,thresholds.json,split_stats.jsonprobe_{train,val,holdout}.jsonl,probe_candidate_pool.jsonl,probe_quarantine.jsonl,probe_split_stats.json— mirror ofrafmacalaba/datause-probe-v3(same data,probe_*configs)
Probe configs (same data as rafmacalaba/datause-probe-v3)
splits = load_dataset("rafmacalaba/datause-ner", "probe_splits")
cands = load_dataset("rafmacalaba/datause-ner", "probe_candidates")
quar = load_dataset("rafmacalaba/datause-ner", "probe_quarantine")
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