key stringlengths 23 42 | source stringclasses 2
values | origin stringclasses 6
values | split stringclasses 3
values | stratum stringclasses 215
values | surface stringlengths 2 86 | start int64 0 2.37k | end int64 3 2.38k | extractor_label stringclasses 3
values | extractor_score float64 0.5 0.95 ⌀ | head_score float64 0 1 | passage stringlengths 17 2.72k |
|---|---|---|---|---|---|---|---|---|---|---|---|
sample:fcv_pads_east_africa:002082:7:1:0 | extracted_sample | fcv_pads_east_africa | train | fcv_pads_east_africa:DESCRIPTIVE_DATA:low | data on post-disaster expenditure | 632 | 665 | DESCRIPTIVE_DATA | 0.704762 | 0.1753 | -19
related demands (ICR, page 37). Therefore, the indicator is **unsatisfactory** .
**RI 10.** This indicator measured the number of reports on consolidated post-disaster expenditure that were
produced annually and submitted to the Budget Department within National Treasury. This indicator could
be verified. On the ... |
sample:jdc_operational:000030:9:1:0 | extracted_sample | jdc_operational | train | jdc_operational:VAGUE_DATA:low | available but incomplete data | 107 | 136 | VAGUE_DATA | 0.714444 | 0.0384 | growth quality, poverty has remained elevated and the job content of**
**growth has been weak.** Based on available but incomplete data, significant progress was made
in reducing poverty prior to the civil war. Since that date, however, progress has stopped, and
even reversed as poverty incidence has hovered around 28... |
sample:fcv_pads_east_africa:015699:9:0:0 | extracted_sample | fcv_pads_east_africa | train | fcv_pads_east_africa:VAGUE_DATA:low | data collected and
analysed | 1,050 | 1,077 | VAGUE_DATA | 0.657184 | 0.1098 | It is however our strong recommendation to UETCL to redefine the **RoW** as the land needed permanently
for the maintenance track s while the **Way leaves** should be the land for the physical electric facility
including the towers, cross arms and the conductors <sup>1</sup> [^1: This is a result of our extensive stu... |
sample:refugee_pads:000131:28:2:0 | extracted_sample | refugee_pads | train | refugee_pads:NAMED_DATA:low | RMNCAH-N data | 142 | 155 | NAMED_DATA | 0.663692 | 0.0153 | of data, monitoring, planning and course correction in real time;
(iii) transparency for good governance by promoting the publication of key RMNCAH-N data in the public domain;
and (iv) climate change adaptation by bringing RMNCAH-N services closer to the underserved populations in the
regions and among the refugee an... |
sample:prwp:005937:6:0:0 | extracted_sample | general_prwp | train | general_prwp:VAGUE_DATA:high | microdata | 1,803 | 1,812 | VAGUE_DATA | 0.619998 | 0.9344 | locations and assess their income, consumption, human capital acquisition, and quality of life.
Because of a lack of data on many aspects of urban life, much of the literature focuses on wages
and productivity and attempts to measure an urban wage or productivity premium.
_The link between city scale and labor pr... |
sample:jdc_operational:000032:43:0:0 | extracted_sample | jdc_operational | train | jdc_operational:NAMED_DATA:high | Lebanon Health Resilience Project | 19 | 52 | NAMED_DATA | 0.73958 | 0.947 | **The World Bank**
Lebanon Health Resilience Project (P163476)
|Indicator Name|Core|Unit of<br>Measure|Baseline|End Target|Frequency|Data Source/Methodology|Responsibility for<br>Data Collection|
|---|---|---|---|---|---|---|---|
|Description:Percent of female beneficiaries of the total number of beneficiaries who wi... |
sample:refugee_pads:000144:96:0:0 | extracted_sample | refugee_pads | train | refugee_pads:NAMED_DATA:low | IBRD Map | 2 | 10 | NAMED_DATA | 0.545232 | 0.0124 | **IBRD Map 43032**
83 |
sample:refugee_pads:000074:41:0:0 | extracted_sample | refugee_pads | train | refugee_pads:DESCRIPTIVE_DATA:low | asset registry | 1,096 | 1,110 | DESCRIPTIVE_DATA | 0.883817 | 0.0219 | **The World Bank**
Greater Beirut Public Transport Project (P160224)
93. **The CDR has significant experience in implementing World Bank-financed projects, including**
**FM aspects.** CDR FM performance on past and current projects is considered satisfactory. The CDR has a
functional unit undertaking FM responsibilit... |
sample:refugee_pads:000127:9:0:0 | extracted_sample | refugee_pads | train | refugee_pads:NAMED_DATA:high | World Bank EdStats data base | 1,401 | 1,429 | NAMED_DATA | 0.901177 | 0.9965 | **B.** **Sectoral and Institutional Context**
4. **The pre‐tertiary education system in Jordan is organized in three levels** : (1) early childhood
education (ECE) or preprimary—kindergarten (KG) 1 and 2; (2) compulsory basic education,
comprising primary and lower secondary levels (grades 1–10); and (3) upper second... |
sample:fcv_pads_east_africa:002755:18:0:0 | extracted_sample | fcv_pads_east_africa | train | fcv_pads_east_africa:DESCRIPTIVE_DATA:low | beneficiary
single Registry list | 380 | 412 | DESCRIPTIVE_DATA | 0.674178 | 0.0372 | **(b)** furnish an assessment to the Association for review. The table below outlines
disbursement linked indicators not achieved in 2020/2021.
Disbursement
Linked Indicator Progress in
**No.** (DLI) Disbursement Linked Results (DLR) DLI's
**1** Scope, coverage, **(1b)** (i)-re-registration exercise in the four O... |
sample:jad_paddy_docs:000001:17:2:0 | extracted_sample | jad_paddy_docs | train | jad_paddy_docs:NAMED_DATA:high | SEIS survey | 1,400 | 1,411 | NAMED_DATA | 0.85702 | 0.9295 | not
anticipate a significant negative impact
on wages due to increased competition.
Enhancing language fluency is one way
to address occupational downgrading. To
avoid double counting, we estimated that
around PLN 1 billion has been already
included in the previously estimated gains
from reduced downgrading.
**A fu... |
sample:fcv_pads_east_africa:013616:4:0:0 | extracted_sample | fcv_pads_east_africa | train | fcv_pads_east_africa:NAMED_DATA:low | Project Financing Data | 1,106 | 1,128 | NAMED_DATA | 0.510205 | 0.1169 | DJIBOUTI
School Access and Improvement Program
**Project Appraisal Document**
Middle East and North Africa Region
MNSHD
Date: November 17, 2000 Team Leader: Qaiser M. Khan
Country Director: Inder K. Sud Sector Director: Baudouy
Project **ID:** P044585 Sector(s): EP - Primary Education, ES - Secondary
. Ed... |
sample:jdc_operational:000024:46:1:0 | extracted_sample | jdc_operational | train | jdc_operational:DESCRIPTIVE_DATA:low | Online survey | 459 | 472 | DESCRIPTIVE_DATA | 0.511346 | 0.0306 | per<br>year<br>|Project<br>monitoring<br>system<br>|Internal validation of<br>accessibility of<br>monitoring tool<br>|Project Coordination<br>Team<br>|
|External users of monitoring tool for<br>access to bread satisfied with information<br>provided|Level of satisfaction<br>reported by external users<br>of monitoring t... |
sample:refugee_pads:000017:7:1:0 | extracted_sample | refugee_pads | train | refugee_pads:NAMED_DATA:low | Human Development Index | 251 | 274 | NAMED_DATA | 0.6838 | 0.0779 | sup>recently</sup> <sup>come</sup> <sup>under Government control.</sup>
**2.** **Main sector** issues **and** <sup>**Government strategy:**</sup>
_Sector Issues._
_Poverty in Sierra Leone._ Sierra <sup>Leone has</sup> <sup>the lowest</sup> <sup>Human Development Index</sup> <sup>**in**</sup> <sup>the world</sup>
... |
sample:fcv_pads_east_africa:015244:1:0:0 | extracted_sample | fcv_pads_east_africa | train | fcv_pads_east_africa:DESCRIPTIVE_DATA:low | Procurement Plan tables | 178 | 201 | DESCRIPTIVE_DATA | 0.73406 | 0.0004 | **Domestic preference** as specified under paragraph 5.51 of the Procurement Regulations **(Goods**
**and Works)** .
Goods: is applicable for those contracts identified in the Procurement Plan tables;
Works: is applicable for those contracts identified in the Procurement Plan tables
**Other Relevant Procurement I... |
sample:fcv_pads_east_africa:015244:1:0:1 | extracted_sample | fcv_pads_east_africa | train | fcv_pads_east_africa:DESCRIPTIVE_DATA:low | Procurement Plan tables | 264 | 287 | DESCRIPTIVE_DATA | 0.636336 | 0.0002 | **Domestic preference** as specified under paragraph 5.51 of the Procurement Regulations **(Goods**
**and Works)** .
Goods: is applicable for those contracts identified in the Procurement Plan tables;
Works: is applicable for those contracts identified in the Procurement Plan tables
**Other Relevant Procurement I... |
sample:jad_paddy_docs:000010:5:0:0 | extracted_sample | jad_paddy_docs | train | jad_paddy_docs:DESCRIPTIVE_DATA:high | survey data | 476 | 487 | DESCRIPTIVE_DATA | 0.584839 | 0.9968 | HIGH EMPLOYMENT RATES, BUT LOW WAGES: A POVERTY ASSESSMENT OF UKRAINIAN REFUGEES IN NEIGHBORING COUNTRIES
**<u>SHARE OF POPULATION PAYING FOR RENTED HOUSING: HOSTS VS REFUGEES</u>**
Share of hosts living in rented housing (2023) Share of refugees fully paying for rent (2024) Share of refugees partially paying for r... |
sample:fcv_pads_east_africa:013866:5:1:0 | extracted_sample | fcv_pads_east_africa | train | fcv_pads_east_africa:NAMED_DATA:low | Mapped Public Works Database System | 1,798 | 1,833 | NAMED_DATA | 0.873559 | 0.1456 | and social concern are:
The NRMD, in which the Public Works Coordination Unit (PWCU) will be responsible for overseeing and
supporting the Public Works sub-component, including the implementation of E&S Standards;
The LCU in the FSCD, which will be responsible for overseeing and supporting the implementation of E&... |
sample:fcv_pads_east_africa:013386:26:0:0 | extracted_sample | fcv_pads_east_africa | train | fcv_pads_east_africa:VAGUE_DATA:mid | census | 1,866 | 1,872 | VAGUE_DATA | 0.589716 | 0.5699 | _<u>AAWSA – Resettlement Policy Framework</u>_
**Land Tenure Regimes**
_Ownership and Usage Rights_
As mentioned above, Ethiopian law does not recognize individual ownership of land. Land is
owned by the state, in urban as well as in rural areas. In rural areas, land is primarily managed
through traditional manners,... |
sample:fcv_pads_east_africa:013386:26:0:1 | extracted_sample | fcv_pads_east_africa | train | fcv_pads_east_africa:VAGUE_DATA:mid | census | 1,968 | 1,974 | VAGUE_DATA | 0.616689 | 0.5041 | _<u>AAWSA – Resettlement Policy Framework</u>_
**Land Tenure Regimes**
_Ownership and Usage Rights_
As mentioned above, Ethiopian law does not recognize individual ownership of land. Land is
owned by the state, in urban as well as in rural areas. In rural areas, land is primarily managed
through traditional manners,... |
sample:prwp:003194:18:1:0 | extracted_sample | general_prwp | train | general_prwp:DESCRIPTIVE_DATA:high | household survey data | 143 | 164 | DESCRIPTIVE_DATA | 0.879645 | 0.8364 | . <sup>19</sup>
18 WYD can be downloaded from http://econ.worldbank.org/projects/inequality.
19 It has been argued that income measures from household survey data that
is representative of the entire economy is a more reliable estimate of GDP
than the corresponding measures from the national accounts. In particular,
... |
sample:prwp:003194:18:1:1 | extracted_sample | general_prwp | train | general_prwp:DESCRIPTIVE_DATA:high | national accounts | 286 | 303 | DESCRIPTIVE_DATA | 0.593188 | 0.9449 | . <sup>19</sup>
18 WYD can be downloaded from http://econ.worldbank.org/projects/inequality.
19 It has been argued that income measures from household survey data that
is representative of the entire economy is a more reliable estimate of GDP
than the corresponding measures from the national accounts. In particular,
... |
sample:reliefweb:000679:7:0:0 | extracted_sample | reliefweb | train | reliefweb:NAMED_DATA:low | Dashboard des réalisations de protection | 108 | 148 | NAMED_DATA | 0.543972 | 0.2986 | ### **5. REPONSE**
**a.** **Apercu des activités de protection générale (janvier-juin 2022)**
Figure 3 : Dashboard des réalisations de protection
8 |
sample:reliefweb:000931:8:0:0 | extracted_sample | reliefweb | train | reliefweb:DESCRIPTIVE_DATA:high | Protection monitoring data | 524 | 550 | DESCRIPTIVE_DATA | 0.85155 | 0.9874 | **OCCUPIED PALESTINIAN TERRITORY (OPT) |** July 2025
**<u><mark>RISK 4</mark></u>**
**Psychological / emotional abuse and inflicted distress**
Months of intense violence, destruction, displacement and witnessing of traumatic events have caused and gravely aggravated mental
health needs and conditions, which were al... |
sample:prwp:000906:5:2:0 | extracted_sample | general_prwp | train | general_prwp:NAMED_DATA:high | EHCVM data | 52 | 62 | NAMED_DATA | 0.783733 | 0.9578 | , food security, assets, education, and health. The EHCVM data are
representative at the national and regional levels for each of the five countries.
The timing of the EHCVM makes it possible to assess the impact of seasonality in four of the five Sahelian
countries surveyed as the data were collected in two distinct... |
sample:jad_paddy_docs:000000:0:0:0 | extracted_sample | jad_paddy_docs | train | jad_paddy_docs:VAGUE_DATA:mid | socio-
economic data | 161 | 181 | VAGUE_DATA | 0.733642 | 0.4913 | HELPING HANDS
THE ROLE OF
HOUSING
SUPPORT AND
EMPLOYMENT
FACILITATION IN
ECONOMIC
VULNERABILITY
OF REFUGEES
FROM UKRAINE
An inter-agency
exploration of socio-
economic data
April 2024 |
sample:prwp:003626:5:0:0 | extracted_sample | general_prwp | train | general_prwp:DESCRIPTIVE_DATA:high | survey of migrant-sending households | 672 | 708 | DESCRIPTIVE_DATA | 0.504172 | 0.7662 | **2. Different Methods Used for Sampling Migrants, Families of Migrants, and Other**
**Rare Elements**
Any attempt to carry out a specialized survey of migrants or of migrant-sending
households must face the problem that international migration is a relatively rare event in
most countries. Bilsborrow et al. (19... |
sample:prwp:003626:5:0:1 | extracted_sample | general_prwp | train | general_prwp:DESCRIPTIVE_DATA:high | administrative records on new immigrants | 1,218 | 1,258 | DESCRIPTIVE_DATA | 0.740745 | 0.9565 | **2. Different Methods Used for Sampling Migrants, Families of Migrants, and Other**
**Rare Elements**
Any attempt to carry out a specialized survey of migrants or of migrant-sending
households must face the problem that international migration is a relatively rare event in
most countries. Bilsborrow et al. (19... |
sample:prwp:003626:5:0:2 | extracted_sample | general_prwp | train | general_prwp:NAMED_DATA:high | New Immigrant Survey | 1,283 | 1,303 | NAMED_DATA | 0.903345 | 0.9732 | **2. Different Methods Used for Sampling Migrants, Families of Migrants, and Other**
**Rare Elements**
Any attempt to carry out a specialized survey of migrants or of migrant-sending
households must face the problem that international migration is a relatively rare event in
most countries. Bilsborrow et al. (19... |
sample:prwp:003626:5:0:3 | extracted_sample | general_prwp | train | general_prwp:NAMED_DATA:high | Longitudinal Survey of
Immigrants to Australia | 1,336 | 1,384 | NAMED_DATA | 0.927294 | 0.9981 | **2. Different Methods Used for Sampling Migrants, Families of Migrants, and Other**
**Rare Elements**
Any attempt to carry out a specialized survey of migrants or of migrant-sending
households must face the problem that international migration is a relatively rare event in
most countries. Bilsborrow et al. (19... |
sample:prwp:003626:5:0:4 | extracted_sample | general_prwp | train | general_prwp:NAMED_DATA:high | Longitudinal Immigration Survey | 1,400 | 1,431 | NAMED_DATA | 0.894776 | 0.9927 | **2. Different Methods Used for Sampling Migrants, Families of Migrants, and Other**
**Rare Elements**
Any attempt to carry out a specialized survey of migrants or of migrant-sending
households must face the problem that international migration is a relatively rare event in
most countries. Bilsborrow et al. (19... |
sample:prwp:003626:5:0:5 | extracted_sample | general_prwp | train | general_prwp:NAMED_DATA:high | Pacific Island-New Zealand Migration Survey | 1,705 | 1,748 | NAMED_DATA | 0.922556 | 0.9826 | **2. Different Methods Used for Sampling Migrants, Families of Migrants, and Other**
**Rare Elements**
Any attempt to carry out a specialized survey of migrants or of migrant-sending
households must face the problem that international migration is a relatively rare event in
most countries. Bilsborrow et al. (19... |
sample:fcv_pads_east_africa:008519:46:1:0 | extracted_sample | fcv_pads_east_africa | train | fcv_pads_east_africa:NAMED_DATA:high | data from MoARD | 187 | 202 | NAMED_DATA | 0.766259 | 0.9932 | .(13 155,94 ]
2003-04 157,955
2004-05 210,838
2005-06 224,819
2006-07 251,156
2007-08 259,020
2008-09 299,620e
2009-10 337,OOOe
352,309f
2010-11
_Source:_ ICR estimate, based on data from MoARD and other sources.
_Note:_ e = estimate; f= forecast.
-40
Urea
43,269
51,808 -87,976
94,919
100,562
98,057
7... |
sample:refugee_pads:000050:29:2:0 | extracted_sample | refugee_pads | train | refugee_pads:VAGUE_DATA:low | M&E data | 530 | 538 | VAGUE_DATA | 0.58832 | 0 |
targeted communities and assisted conmmunities; into national planning and
beneficiaries; and - Technical audits resource allocation
- Proportion of sub-projects frameworks (such as the
operative 24emonths after National Recovery Strategy,
corpletion. the PRSP, and the MTEF)
**Out... |
sample:refugee_pads:000085:45:0:0 | extracted_sample | refugee_pads | train | refugee_pads:VAGUE_DATA:high | longitudinal data | 451 | 468 | VAGUE_DATA | 0.674 | 0.9585 | **The World Bank**
Balochistan Human Capital Investment Project (P166308)
_Education Component CBA_
13. **The project is estimated to generate a total of 22,550 additional years of schooling** by increasing
the number of children enrolled in project schools by 10 percent annual growth rate and the school
completion... |
sample:refugee_pads:000085:45:0:1 | extracted_sample | refugee_pads | train | refugee_pads:NAMED_DATA:mid | EMIS | 712 | 716 | NAMED_DATA | 0.706631 | 0.407 | **The World Bank**
Balochistan Human Capital Investment Project (P166308)
_Education Component CBA_
13. **The project is estimated to generate a total of 22,550 additional years of schooling** by increasing
the number of children enrolled in project schools by 10 percent annual growth rate and the school
completion... |
sample:refugee_pads:000023:21:0:0 | extracted_sample | refugee_pads | train | refugee_pads:NAMED_DATA:high | UNHCR supervised census o f IDPs in Puttalam | 257 | 301 | NAMED_DATA | 0.743075 | 0.988 | **S R I** LANKA: **PUTTALAM HOUSING PROJECT**
**Annex** **1:** **Background and Project Design Framework**
**Background**
The District o f Puttalam in North West Sri Lanka i s now home to many refugees displaced from the North
in 1990. According to the UNHCR supervised census o f IDPs in Puttalam conducted in April... |
sample:refugee_pads:000023:21:0:1 | extracted_sample | refugee_pads | train | refugee_pads:NAMED_DATA:high | UNHCR survey | 1,489 | 1,501 | NAMED_DATA | 0.711118 | 0.9949 | **S R I** LANKA: **PUTTALAM HOUSING PROJECT**
**Annex** **1:** **Background and Project Design Framework**
**Background**
The District o f Puttalam in North West Sri Lanka i s now home to many refugees displaced from the North
in 1990. According to the UNHCR supervised census o f IDPs in Puttalam conducted in April... |
sample:fcv_pads_east_africa:014834:19:1:0 | extracted_sample | fcv_pads_east_africa | train | fcv_pads_east_africa:VAGUE_DATA:high | survey data | 272 | 283 | VAGUE_DATA | 0.729246 | 0.8771 | NER) at the primary level in the
survey year (1996) was 50% greater for the highest expenditure quintile compared to the lowest
expenditure quintile. The inequity is even more pronounced in secondary education (lower secondary
education is part of basic education but the survey data does not separate the two), where th... |
sample:prwp:006318:8:0:0 | extracted_sample | general_prwp | train | general_prwp:DESCRIPTIVE_DATA:mid | anonymized unit record
data | 73 | 102 | DESCRIPTIVE_DATA | 0.663211 | 0.3828 | All data collection is done by GISSE a research institute in Bamako. The anonymized unit record
data of the baseline and the monthly surveys can be downloaded from www.gisse.org. The
response rate for the phone interviews has been very high (Table 1): after 6 rounds of monthly
interviews the original sample is al... |
sample:prwp:006318:8:0:1 | extracted_sample | general_prwp | train | general_prwp:NAMED_DATA:high | 2009 population census | 609 | 631 | NAMED_DATA | 0.715221 | 0.928 | All data collection is done by GISSE a research institute in Bamako. The anonymized unit record
data of the baseline and the monthly surveys can be downloaded from www.gisse.org. The
response rate for the phone interviews has been very high (Table 1): after 6 rounds of monthly
interviews the original sample is al... |
sample:reliefweb:001240:11:1:0 | extracted_sample | reliefweb | train | reliefweb:NAMED_DATA:high | HAG Q3 Report | 578 | 591 | NAMED_DATA | 0.596042 | 0.9997 | , assets and facilities (+230% compared to 66
acts of violence in Q2). Out of 68 incidents of interference in the
implementation of humanitarian activities, 39 (57%) had a gender
dynamic, with most of these relating to participation of female staff
in humanitarian activities. Main actors responsible for all access
cons... |
sample:prwp:007590:66:0:0 | extracted_sample | general_prwp | train | general_prwp:NAMED_DATA:high | LSMS surveys | 638 | 650 | NAMED_DATA | 0.833395 | 0.9526 | where _yi_ <sup>_SE_</sup>
_i_ <sup>_SE_</sup> <sup>,</sup> <sup>_y_</sup> _i_ <sup>_L_</sup>
_i_ <sup>_L_</sup> <sup>,</sup> <sup>and</sup> <sup>_y_</sup> _i_ <sup>_K_</sup>
_i_ <sup>_K_</sup> <sup>represent</sup> <sup>self-employed</sup> <sup>income,</sup> <sup>labor</sup> <sup>income,</sup> <sup>and</sup> <... |
sample:fcv_pads_east_africa:009061:3:0:0 | extracted_sample | fcv_pads_east_africa | train | fcv_pads_east_africa:DESCRIPTIVE_DATA:mid | court user survey | 482 | 499 | DESCRIPTIVE_DATA | 0.848823 | 0.3312 | Public Disclosure Copy
**The World Bank** Implementation Status & Results Report
Judicial Performance Improvement (P105269)
Progress on PDO 4 (distance to new courts) is not linear (as predicted in the results framework) throughout the life of the project as the bulk of
the new courts are larger in size and thus ta... |
sample:fcv_pads_east_africa:009061:3:0:1 | extracted_sample | fcv_pads_east_africa | train | fcv_pads_east_africa:VAGUE_DATA:mid | user satisfaction data | 564 | 586 | VAGUE_DATA | 0.660917 | 0.3341 | Public Disclosure Copy
**The World Bank** Implementation Status & Results Report
Judicial Performance Improvement (P105269)
Progress on PDO 4 (distance to new courts) is not linear (as predicted in the results framework) throughout the life of the project as the bulk of
the new courts are larger in size and thus ta... |
sample:prwp:005328:6:0:0 | extracted_sample | general_prwp | train | general_prwp:DESCRIPTIVE_DATA:high | bilateral, product-level (HS-06) import data | 1,181 | 1,225 | DESCRIPTIVE_DATA | 0.545243 | 0.9246 | G20 members collectively had 3.2 percent of their import product lines subject to TTBs in 2011; for
comparison, this is more than double their import coverage (1.5 percent) from a decade earlier, as
reported by column (2). <sup>6</sup> [^6: This includes Argentina, Brazil, China, India, Indonesia, South Africa and ... |
sample:jad_paddy_docs:000004:16:1:0 | extracted_sample | jad_paddy_docs | train | jad_paddy_docs:NAMED_DATA:low | SEIS | 994 | 998 | NAMED_DATA | 0.734825 | 0.0002 | SRH
services and one in five did not trust local
healthcare providers, in addition to facing language
barriers.
Women with a disability reported more barriers with
11% across the region (N=29) compared to those
without disability (5%).
An in-depth assessment is needed to better
understand sexual and reproductive h... |
sample:prwp:001957:11:0:0 | extracted_sample | general_prwp | train | general_prwp:NAMED_DATA:high | ENEMDU | 439 | 445 | NAMED_DATA | 0.788855 | 0.9893 | Figure 2. Percentage of Working People Contributing to Social Security per Educational Level.
80%
70%
60%
50%
40%
30%
20%
10%
0%
2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
Did not attend Incomplete Primary Studies
Complete Primary Studies Incomplete Secondary Studies
Comp... |
sample:prwp:001957:11:0:1 | extracted_sample | general_prwp | train | general_prwp:NAMED_DATA:high | ENEMDU | 1,120 | 1,126 | NAMED_DATA | 0.565976 | 0.9908 | Figure 2. Percentage of Working People Contributing to Social Security per Educational Level.
80%
70%
60%
50%
40%
30%
20%
10%
0%
2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
Did not attend Incomplete Primary Studies
Complete Primary Studies Incomplete Secondary Studies
Comp... |
sample:jdc_operational:000027:15:1:0 | extracted_sample | jdc_operational | train | jdc_operational:DESCRIPTIVE_DATA:mid | ECRP functionality assessments | 562 | 592 | DESCRIPTIVE_DATA | 0.591543 | 0.4898 |
new areas to examine staffing, equipment, jurisdictional issues, core function capacities, local service mapping capability,
and GBV referral capacities and (b) the provision of technical assistance for county government officials on service delivery
planning; positive engagement with communities through participatory... |
sample:refugee_pads:000127:47:1:0 | extracted_sample | refugee_pads | train | refugee_pads:VAGUE_DATA:high | examination data | 970 | 986 | VAGUE_DATA | 0.695852 | 0.9862 | <br>signed documents at<br>MOE|Third Party|The verification agency will check<br>that the national assessment<br>strategy has been adopted, signed,<br>and published on MOE's website.|
|**DLR#7.2**Grade 3 diagnostic<br>test on early grade reading and<br>math implemented in all target<br>schools|Schools are conducting ra... |
sample:fcv_pads_east_africa:012555:62:2:0 | extracted_sample | fcv_pads_east_africa | train | fcv_pads_east_africa:VAGUE_DATA:mid | 1999 data | 688 | 697 | VAGUE_DATA | 0.658293 | 0.5672 | capita -O 2 -0 5 Lower-middle-income _group_
ESports of goods and servic"s
**STRUCTURE ofthe ECONOMY**
**1979** **1989** **1998** **1999** **Growth rates of output and Investment ()**
_{%I ol GOP)_
Agriculture 3.4 _.._ **_2._**
Industry 21.0 O.Manufacturing 5.6 **_-2_** **_94_** _as_ _se_ _s_
Services **75.6** 6
P... |
sample:fcv_pads_east_africa:012555:62:2:1 | extracted_sample | fcv_pads_east_africa | train | fcv_pads_east_africa:NAMED_DATA:high | Development Economics central database | 758 | 796 | NAMED_DATA | 0.90354 | 0.9023 | capita -O 2 -0 5 Lower-middle-income _group_
ESports of goods and servic"s
**STRUCTURE ofthe ECONOMY**
**1979** **1989** **1998** **1999** **Growth rates of output and Investment ()**
_{%I ol GOP)_
Agriculture 3.4 _.._ **_2._**
Industry 21.0 O.Manufacturing 5.6 **_-2_** **_94_** _as_ _se_ _s_
Services **75.6** 6
P... |
sample:prwp:001759:9:0:0 | extracted_sample | general_prwp | train | general_prwp:NAMED_DATA:high | Institutional Shareholder Services
(ISS) database | 243 | 292 | NAMED_DATA | 0.87191 | 0.9997 | **Table 1. Country and Industry Coverage**
This table presents the distribution of observations and unique firms among the countries. Panel A presents the country
coverage. Panel B presents the industry coverage. Industry definitions are from Institutional Shareholder Services
(ISS) database.
**<u>Panel A: Country Co... |
sample:jdc_operational:000027:4:3:0 | extracted_sample | jdc_operational | train | jdc_operational:NAMED_DATA:high | women’s empowerment dashboard | 329 | 358 | NAMED_DATA | 0.530251 | 0.8809 | . South Sudan Flooding Situation Report: Inter-Cluster Coordination Group, as of 31 January 2021.
20 HDI’s life-course gender gap compiles 12 indicators that analyze gender gaps in choices and opportunities across the lifespan including education, labor and work,
political representation, time use, and social protectio... |
sample:reliefweb:000383:10:0:0 | extracted_sample | reliefweb | train | reliefweb:VAGUE_DATA:high | welfare data | 202 | 214 | VAGUE_DATA | 0.700928 | 0.8642 | COMPOUNDING MISFORTUNES
Changes in Poverty since the onset of Covid-19 on Syrian Refugees and 11
Host Communities in Jordan, the Kurdistan Region of Iraq and Lebanon
recent, and more representative, welfare data
been available.
In many respects the countries in this study
have experienced comparable dynamics,
inclu... |
sample:reliefweb:001064:26:1:0 | extracted_sample | reliefweb | train | reliefweb:VAGUE_DATA:low | existing data | 1,011 | 1,024 | VAGUE_DATA | 0.557782 | 0 | of the GIS project, the paper identifies some of its key findings, some of
which have important implications for refugee protection in Nairobi. For example:
- self-identified refugee leaders who were relied upon to transmit information
to their communities have not done so in an effective manner;
- significant... |
sample:reliefweb:000620:5:0:0 | extracted_sample | reliefweb | train | reliefweb:DESCRIPTIVE_DATA:high | statistical information from 37 OECD
countries and Brazil | 322 | 379 | DESCRIPTIVE_DATA | 0.672348 | 0.9752 | # 2 Background
**WHAT IS IT?**
This is the fourth edition of “Safe Pathways for
Refugees,” <sup>3</sup> a publication series that forms part
of an ongoing joint project between UNHCR and
OECD to address information gaps and build
a foundation of evidence on complementary
pathways. The project began in 2018 and
compile... |
sample:reliefweb:000620:5:0:1 | extracted_sample | reliefweb | train | reliefweb:VAGUE_DATA:mid | new data
for 2022 | 766 | 783 | VAGUE_DATA | 0.729696 | 0.3448 | # 2 Background
**WHAT IS IT?**
This is the fourth edition of “Safe Pathways for
Refugees,” <sup>3</sup> a publication series that forms part
of an ongoing joint project between UNHCR and
OECD to address information gaps and build
a foundation of evidence on complementary
pathways. The project began in 2018 and
compile... |
sample:jad_paddy_docs:000004:6:1:0 | extracted_sample | jad_paddy_docs | train | jad_paddy_docs:DESCRIPTIVE_DATA:low | consolidated anonymized dataset | 46 | 77 | DESCRIPTIVE_DATA | 0.709355 | 0.1552 | . The complete questionnaires, along with the
consolidated anonymized dataset, are available in
the <u>[UNHCR Microdata Library.](https://microdata.unhcr.org/index.php/catalog/?page=1&from=2023&to=2024®ion%5B%5D=3&ps=100)</u>
# Limitations
This analysis has several limitations that should be
considered when inter... |
sample:fcv_pads_east_africa:002105:5:0:0 | extracted_sample | fcv_pads_east_africa | train | fcv_pads_east_africa:NAMED_DATA:low | United Nations
Development Business Online | 322 | 364 | NAMED_DATA | 0.698582 | 0.2508 | contracts), setting the Bank’s prior review threshold at US$10 million for all contracts with a risk rating of
substantial and below, declaration of mis-procurement for the misapplication of the rated criteria weightings, direct
payment for all high value contracts, and the removal of reference to the publication in th... |
sample:prwp:004113:10:1:0 | extracted_sample | general_prwp | train | general_prwp:NAMED_DATA:high | _Familias_ | 44 | 54 | NAMED_DATA | 0.515171 | 0.6585 | , respectively. Regarding geography,
from _Familias_ we obtain the altitude in meters, a dummy for three different degrees of
rurality and a dummy for one of four regions. In our context, geography is important for
two reasons. First, a municipality with difficult physical access will naturally enjoy less |
sample:refugee_pads:000176:12:1:0 | extracted_sample | refugee_pads | train | refugee_pads:DESCRIPTIVE_DATA:high | living standards measurement survey | 1,291 | 1,326 | DESCRIPTIVE_DATA | 0.866369 | 0.7112 | foundation for democratic and sustainable local
development. The Community Development Program will finance social and economic
infrastructure and support social capital building activities to facilitate the restoration of basic
social services such as health and education and provide an incentive for teachers, hea... |
sample:refugee_pads:000147:4:0:0 | extracted_sample | refugee_pads | train | refugee_pads:NAMED_DATA:low | Project Financing Data | 1,106 | 1,128 | NAMED_DATA | 0.510205 | 0.1169 | DJIBOUTI
School Access and Improvement Program
**Project Appraisal Document**
Middle East and North Africa Region
MNSHD
Date: November 17, 2000 Team Leader: Qaiser M. Khan
Country Director: Inder K. Sud Sector Director: Baudouy
Project **ID:** P044585 Sector(s): EP - Primary Education, ES - Secondary
. Ed... |
sample:refugee_pads:000052:10:1:0 | extracted_sample | refugee_pads | train | refugee_pads:DESCRIPTIVE_DATA:high | living standards measurement survey | 1,571 | 1,606 | DESCRIPTIVE_DATA | 0.672607 | 0.9203 | aged 1549) to be 6.1 %; in
Freetown, 4% in rural areas and 4.9% nationwide. In response to the crisis, Government has developed
a multi-sector HIV/AIDS Program, which is being supported by various partners, including the Bank.
Education. Although gross primary school enrollment rose by about 7% when the government
rec... |
sample:refugee_pads:000052:10:1:1 | extracted_sample | refugee_pads | train | refugee_pads:NAMED_DATA:high | 2003
LSMS | 1,760 | 1,769 | NAMED_DATA | 0.676885 | 0.8716 | aged 1549) to be 6.1 %; in
Freetown, 4% in rural areas and 4.9% nationwide. In response to the crisis, Government has developed
a multi-sector HIV/AIDS Program, which is being supported by various partners, including the Bank.
Education. Although gross primary school enrollment rose by about 7% when the government
rec... |
sample:reliefweb:001616:33:1:0 | extracted_sample | reliefweb | train | reliefweb:VAGUE_DATA:low | HIV
data | 312 | 320 | VAGUE_DATA | 0.716938 | 0.1682 | .”_ <sup>_84_</sup>
Source: Amnesty International, Oct 26, 2004.
The media, health care practitioners and advocacy groups are doing a good job in
denouncing human rights violations in DRC. But these groups have failed to indicate
clearly and systematically that the Eastern part of the country currently lacks HIV
data... |
sample:reliefweb:001616:33:1:1 | extracted_sample | reliefweb | train | reliefweb:DESCRIPTIVE_DATA:high | HIV sentinel surveillance | 746 | 771 | DESCRIPTIVE_DATA | 0.725556 | 0.7158 | .”_ <sup>_84_</sup>
Source: Amnesty International, Oct 26, 2004.
The media, health care practitioners and advocacy groups are doing a good job in
denouncing human rights violations in DRC. But these groups have failed to indicate
clearly and systematically that the Eastern part of the country currently lacks HIV
data... |
sample:fcv_pads_east_africa:008714:21:0:0 | extracted_sample | fcv_pads_east_africa | train | fcv_pads_east_africa:NAMED_DATA:high | 2018 NSNP operational monitoring reports | 393 | 433 | NAMED_DATA | 0.64559 | 0.8378 | #### **1 INTRODUCTION**
###### **1.1 Project Background**
67. This document presents the VMGF for the KSEIP. It is based on the Social Assessment that was done
for this project in May 2018. As an ESSA and VMGF was already done for the NSNP and Cash Transfer for
Orphans and Vulnerable Children in 2013, information has ... |
sample:fcv_pads_east_africa:002779:36:0:0 | extracted_sample | fcv_pads_east_africa | train | fcv_pads_east_africa:VAGUE_DATA:low | macroeconomic data | 121 | 139 | VAGUE_DATA | 0.684681 | 0.1757 | **The World Bank**
Inclusive Growth Development Policy Operation (P514383) PROGRAM DOCUMENT
the World Bank with timely macroeconomic data to support monitoring of macroeconomic adequacy. The World Bank
remains committed to providing technical assistance to support timely and effective reform implementation and robust... |
sample:refugee_pads:000093:24:0:0 | extracted_sample | refugee_pads | train | refugee_pads:DESCRIPTIVE_DATA:high | 1997 poverty
assessment | 1,107 | 1,131 | DESCRIPTIVE_DATA | 0.814147 | 0.6186 | 21
they have to purchase water from trucks which costs four times as high than a household connection;
and qat consumption poses a major social, income and productivity issue.
In order to capture as much of the school-age population presently out of school due to the lack of
existing places, the project will constr... |
sample:jdc_operational:000057:20:0:0 | extracted_sample | jdc_operational | train | jdc_operational:NAMED_DATA:low | integrated biometric and Management Information
System | 1,650 | 1,704 | NAMED_DATA | 0.609636 | 0.0155 | **The World Bank**
Productive Safety Net for Socioeconomic Opportunities Project (P177663)
**II.** **PROJECT DESCRIPTION**
**A. Project Development Objective**
**PDO Statement**
28. **The Project Development Objectives (PDO) are to provide cash transfers and access to income generating**
**opportunities and str... |
sample:prwp:000337:14:1:0 | extracted_sample | general_prwp | train | general_prwp:DESCRIPTIVE_DATA:high | industry-level dataset | 307 | 329 | DESCRIPTIVE_DATA | 0.895158 | 0.99 | </u> <u>75,107</u> <u>21</u>
<u>Means and standard deviations are weighted by sampling weights that have been adjusted to give equal weight to each country; for literacy,</u>
numeracy, and problem-solving skills, mean and SD are estimated using plausible values.
<u>Table 2. Descriptive statistics of the industry-leve... |
sample:jad_paddy_docs:000001:22:0:0 | extracted_sample | jad_paddy_docs | train | jad_paddy_docs:NAMED_DATA:high | Labour Force Survey | 297 | 316 | NAMED_DATA | 0.538764 | 0.9765 | Analysis of the impact of refugees from Ukraine on the economy of Poland
# Glossary List of charts and tables
Analysis of the impact of refugees from Ukraine on the economy of Poland
**GUS** - Główny Urząd Statystyczny, Polish statistical office, also known as Statistics Poland.
**LFS** - Labour Force Survey, Eu... |
sample:jad_paddy_docs:000001:22:0:1 | extracted_sample | jad_paddy_docs | train | jad_paddy_docs:NAMED_DATA:high | Eurostat labour market survey | 318 | 347 | NAMED_DATA | 0.647477 | 0.9974 | Analysis of the impact of refugees from Ukraine on the economy of Poland
# Glossary List of charts and tables
Analysis of the impact of refugees from Ukraine on the economy of Poland
**GUS** - Główny Urząd Statystyczny, Polish statistical office, also known as Statistics Poland.
**LFS** - Labour Force Survey, Eu... |
sample:jad_paddy_docs:000001:22:0:2 | extracted_sample | jad_paddy_docs | train | jad_paddy_docs:NAMED_DATA:high | Multi-Sector Needs Assessment | 402 | 431 | NAMED_DATA | 0.641059 | 0.8511 | Analysis of the impact of refugees from Ukraine on the economy of Poland
# Glossary List of charts and tables
Analysis of the impact of refugees from Ukraine on the economy of Poland
**GUS** - Główny Urząd Statystyczny, Polish statistical office, also known as Statistics Poland.
**LFS** - Labour Force Survey, Eu... |
sample:jad_paddy_docs:000001:22:0:3 | extracted_sample | jad_paddy_docs | train | jad_paddy_docs:NAMED_DATA:high | Socio-Economic Inclusion Survey | 1,082 | 1,113 | NAMED_DATA | 0.65881 | 0.8576 | Analysis of the impact of refugees from Ukraine on the economy of Poland
# Glossary List of charts and tables
Analysis of the impact of refugees from Ukraine on the economy of Poland
**GUS** - Główny Urząd Statystyczny, Polish statistical office, also known as Statistics Poland.
**LFS** - Labour Force Survey, Eu... |
sample:refugee_pads:000182:40:2:0 | extracted_sample | refugee_pads | train | refugee_pads:VAGUE_DATA:low | travel demand data | 642 | 660 | VAGUE_DATA | 0.741884 | 0.0215 | The revenue potential of the BRT will need to be thoroughly
analyzed before BRT operation bidding launch and is a major determinant in the feasibility of attracting private sector
investment and participation through a PPP arrangement. The structuring of PPPs or concessions and the
implementation of Bank policies will... |
sample:refugee_pads:000182:40:2:1 | extracted_sample | refugee_pads | train | refugee_pads:DESCRIPTIVE_DATA:low | origindestination surveys | 732 | 757 | DESCRIPTIVE_DATA | 0.890097 | 0.0275 | The revenue potential of the BRT will need to be thoroughly
analyzed before BRT operation bidding launch and is a major determinant in the feasibility of attracting private sector
investment and participation through a PPP arrangement. The structuring of PPPs or concessions and the
implementation of Bank policies will... |
sample:jdc_operational:000008:68:1:0 | extracted_sample | jdc_operational | train | jdc_operational:DESCRIPTIVE_DATA:low | visual survey of the
road condition | 814 | 849 | DESCRIPTIVE_DATA | 0.906202 | 0.2576 | support the implementation of the project with regard to these technical
items, the following measures will be undertaken:
a. The project will finance specialized consulting firms to undertake the required technical designs, which
will be reviewed the by Bank. In addition, specialized road engineering consultants wi... |
sample:jdc_operational:000008:68:1:1 | extracted_sample | jdc_operational | train | jdc_operational:NAMED_DATA:low | IRAP safety rating | 851 | 869 | NAMED_DATA | 0.577206 | 0.0066 | support the implementation of the project with regard to these technical
items, the following measures will be undertaken:
a. The project will finance specialized consulting firms to undertake the required technical designs, which
will be reviewed the by Bank. In addition, specialized road engineering consultants wi... |
sample:jdc_operational:000008:68:1:2 | extracted_sample | jdc_operational | train | jdc_operational:VAGUE_DATA:low | traffic data | 875 | 887 | VAGUE_DATA | 0.693168 | 0.2222 | support the implementation of the project with regard to these technical
items, the following measures will be undertaken:
a. The project will finance specialized consulting firms to undertake the required technical designs, which
will be reviewed the by Bank. In addition, specialized road engineering consultants wi... |
sample:jdc_operational:000018:93:1:0 | extracted_sample | jdc_operational | train | jdc_operational:VAGUE_DATA:low | Data on educational level missing | 764 | 797 | VAGUE_DATA | 0.607264 | 0.2814 | u>(USh)</u>
<u>Hours worked</u>
per week
<u>Hourly</u>
wage per week wage wage per week wage
<u>(USh)</u> <u>(Hrs.)</u> <u>(USh)</u> <u>(USh)</u> <u>(Hrs.)</u> <u>(USh)</u>
<u>No schooling/below P1</u> <u>69,696</u> <u>37.8</u> <u>461</u> <u>93,970</u> <u>44.6</u> <u>527</u>
Some primary 119,322 42.1 709 1... |
sample:refugee_pads:000051:43:1:0 | extracted_sample | refugee_pads | train | refugee_pads:DESCRIPTIVE_DATA:mid | بيانات الجمارك | 568 | 582 | DESCRIPTIVE_DATA | 0.50849 | 0.4175 | دة إدارة البرنامج<br> نسخة<br> إلى<br>بالضافة<br> نظام<br> من<br>مطبوعة<br> المعلومات<br>تكنولوجيا<br> للبيانات<br> اللي<br>(النظام<br> الجمركية) للتحقق من عدد<br> المدخ<br>البنود بمعرفة<br>لة<br> الشركات وعدد عمليات<br> الفحص التي أجريت، إن<br> .وجدت<br> ديوان<br> يؤكد<br>سوف<br> المحاسبة العدد ويجري<br> ،عمليات... |
sample:reliefweb:000669:47:0:0 | extracted_sample | reliefweb | train | reliefweb:VAGUE_DATA:mid | Provisional data | 1,112 | 1,128 | VAGUE_DATA | 0.550354 | 0.435 | Chapter 5
**Unaccompanied and**
**separated children**
Children separated from their parents and families
because of conflict, forced displacement, or natural
disasters are among the most vulnerable. It is
imperative that governments and agencies collect data
to identify these children and assist them. However,
dat... |
sample:jad_paddy_docs:000001:22:1:0 | extracted_sample | jad_paddy_docs | train | jad_paddy_docs:NAMED_DATA:high | PESEL data | 148 | 158 | NAMED_DATA | 0.859617 | 0.6316 | security administration, also known as Social Insurance Institution.
44
Chart 1. Poland-Ukraine border movement balance and registered/active PESEL data 07
Chart 2. Ukrainians registered for social insurance 07
Chart 3. Number of Ukrainians registered in Poland for social insurance by sex 08
Chart 4. Age and g... |
sample:fcv_pads_east_africa:020715:19:1:0 | extracted_sample | fcv_pads_east_africa | train | fcv_pads_east_africa:VAGUE_DATA:high | survey data | 272 | 283 | VAGUE_DATA | 0.729246 | 0.8771 | NER) at the primary level in the
survey year (1996) was 50% greater for the highest expenditure quintile compared to the lowest
expenditure quintile. The inequity is even more pronounced in secondary education (lower secondary
education is part of basic education but the survey data does not separate the two), where th... |
sample:prwp:000307:36:2:0 | extracted_sample | general_prwp | train | general_prwp:NAMED_DATA:high | Luxembourg Income Study’s data | 378 | 408 | NAMED_DATA | 0.819049 | 0.9994 | _|_Hausman test_|_Coefficient_|_Hausman test_|
|_P90/P10_|0.53***|127.36***|0.43***|9.68|
|_P90/P10_|[0.04]|[0.04]|[0.11]|[0.11]|
|_P80/P20_|0.32***|133.74***|0.01|0.07|
|_P80/P20_|[0.02]|[0.02]|[0.05]|[0.05]|
_Notes:_ Robust standard errors in brackets; <sup>*</sup> _p_ < 0.10, <sup>**</sup> _p_ < 0.05, <sup>***</s... |
sample:jdc_operational:000024:16:0:0 | extracted_sample | jdc_operational | train | jdc_operational:NAMED_DATA:low | Emergency Food Security Project | 19 | 50 | NAMED_DATA | 0.59793 | 0.2247 | **The World Bank**
Emergency Food Security Project (P178936)
<mark>of producing countries have recently implemented export bans or restrictions on their domestic supplies, further</mark>
<mark>tightening global availability and adding additional upward pressure on prices.</mark> <sup>22</sup> [^22: As of April 5, 202... |
sample:fcv_pads_east_africa:002285:13:4:0 | extracted_sample | fcv_pads_east_africa | train | fcv_pads_east_africa:VAGUE_DATA:high | Interim data | 128 | 140 | VAGUE_DATA | 0.520643 | 0.9955 | The indicator is on track, projected to meet the year-end<br>June 30, 2026 target of 9 and will be verified under APA4 by IVA.|Interim data as of March 31, 2026. The indicator is on track, projected to meet the year-end<br>June 30, 2026 target of 9 and will be verified under APA4 by IVA.|
|GKMA sub-national entities<b... |
sample:refugee_pads:000088:70:1:0 | extracted_sample | refugee_pads | train | refugee_pads:DESCRIPTIVE_DATA:low | register
pertaining to sale and receipt of bids | 1,196 | 1,243 | DESCRIPTIVE_DATA | 0.544322 | 0.023 | Procurement Documents:** The World Bank’s Standard Procurement Documents (SPDs) shall be used for
procurement of goods, works, and non-consulting services under Open International Competitive Procedures. National
Bidding documents as set forth in the Public Procurement and Disposal Act, 2003 may be used under Open Nat... |
sample:fcv_pads_east_africa:011566:4:3:0 | extracted_sample | fcv_pads_east_africa | train | fcv_pads_east_africa:DESCRIPTIVE_DATA:low | Baseline Data survey | 220 | 241 | DESCRIPTIVE_DATA | 0.813461 | 0.006 | *2**<br>**3**<br>**5**|**2**|Actual|Actual||Post|CQS|18-Aug-09|18-Aug-09|27-Aug-09|14-Sep-09|22-Sep-09||5-Oct-09|2-Nov-09||||||||||||
|**MOWI**<br>**1**<br>**2**<br>**3**<br>**5**|**3**|Planned|Consultancy studies on<br>Baseline Data survey and<br>collection|150,000|Post|CQBS|13-Dec-08|20-Dec-08|1-Jan-09|15-Jan-09|18... |
sample:prwp:001052:10:0:0 | extracted_sample | general_prwp | train | general_prwp:VAGUE_DATA:high | income and consumption data | 654 | 681 | VAGUE_DATA | 0.588128 | 0.9421 | is higher is due to the exclusion of China, which has both a large population and low rate of extreme
poverty. Nonetheless, the data in our analysis is representative of nearly 5.9 billion people or more
than 3/4 <sup>th</sup> of the world’s population. The coverage of people estimated to be living in extreme
pov... |
sample:prwp:001052:10:0:1 | extracted_sample | general_prwp | train | general_prwp:DESCRIPTIVE_DATA:high | Consumer Price Indices | 722 | 744 | DESCRIPTIVE_DATA | 0.568235 | 0.7345 | is higher is due to the exclusion of China, which has both a large population and low rate of extreme
poverty. Nonetheless, the data in our analysis is representative of nearly 5.9 billion people or more
than 3/4 <sup>th</sup> of the world’s population. The coverage of people estimated to be living in extreme
pov... |
sample:prwp:001052:10:0:2 | extracted_sample | general_prwp | train | general_prwp:DESCRIPTIVE_DATA:high | CPI and PPP
data | 1,460 | 1,478 | DESCRIPTIVE_DATA | 0.658669 | 0.7445 | is higher is due to the exclusion of China, which has both a large population and low rate of extreme
poverty. Nonetheless, the data in our analysis is representative of nearly 5.9 billion people or more
than 3/4 <sup>th</sup> of the world’s population. The coverage of people estimated to be living in extreme
pov... |
sample:prwp:001052:10:0:3 | extracted_sample | general_prwp | train | general_prwp:DESCRIPTIVE_DATA:high | population
and national accounts data | 1,557 | 1,596 | DESCRIPTIVE_DATA | 0.86627 | 0.7031 | is higher is due to the exclusion of China, which has both a large population and low rate of extreme
poverty. Nonetheless, the data in our analysis is representative of nearly 5.9 billion people or more
than 3/4 <sup>th</sup> of the world’s population. The coverage of people estimated to be living in extreme
pov... |
sample:fcv_pads_east_africa:007346:0:1:0 | extracted_sample | fcv_pads_east_africa | train | fcv_pads_east_africa:DESCRIPTIVE_DATA:low | Data on Financial Performance | 171 | 200 | DESCRIPTIVE_DATA | 0.655129 | 0.0047 | Development Object remains relevant and the
implementing entities, EEU and MoWE, are well positioned to complete its implementation and achieve the expected results.
**Data on Financial Performance**
**Disbursements (by loan)**
Project Loan/Credit/TF Status Currency Original Revised Cancelled Disbursed Undisburs... |
sample:refugee_pads:000162:16:0:0 | extracted_sample | refugee_pads | train | refugee_pads:VAGUE_DATA:high | existing data and information | 1,272 | 1,301 | VAGUE_DATA | 0.677159 | 0.8919 | **The World Bank**
Tajikistan Water Supply and Sanitation Investment Project (P177325)
drinking water quality. The quality of drinking water sources may also be compromised by increased
sediment and nutrient inputs due to extreme storm events. Sanitation-related public health risks tend to
be higher during/after the ... |
sample:jdc_operational:000032:17:2:0 | extracted_sample | jdc_operational | train | jdc_operational:NAMED_DATA:high | UNHCR data | 190 | 200 | NAMED_DATA | 0.728014 | 0.9903 | public hospitals decreased from 89 percent to 71
percent. Results from an analysis of unmet needs over the last five years <sup>17</sup> indicate that approximately
11 LCRP 2017-2020.
12 UNHCR data, 2016.
13 Hariri University Hospital data, 2017.
14 LCRP 2017-2020.
15 MoPH data, 2012-2015.
16 Interview with Syndicat... |
sample:jdc_operational:000032:17:2:1 | extracted_sample | jdc_operational | train | jdc_operational:NAMED_DATA:high | Hariri University Hospital data | 211 | 242 | NAMED_DATA | 0.767372 | 0.9924 | public hospitals decreased from 89 percent to 71
percent. Results from an analysis of unmet needs over the last five years <sup>17</sup> indicate that approximately
11 LCRP 2017-2020.
12 UNHCR data, 2016.
13 Hariri University Hospital data, 2017.
14 LCRP 2017-2020.
15 MoPH data, 2012-2015.
16 Interview with Syndicat... |
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datause-probe-v3
Probe-v3 training data for the data-use mention probe: 29,346 labeled spans (26,618 campaign-v2 Luna single-judge + 2,728 gold-v2), doc-disjoint 70/15/15 splits, all six origins in every split, no passage crosses splits.
Files
train/val/holdout.jsonl— word-indexed spans (w_start/w_endoverpassage.split(" ")),label1=DATA_MENTION 0=NON_MENTION,sourcecamp2|gold,head_score= v2 probe score (triage feature, not label).candidate_pool.jsonl— the 29,855 candidate spans the labels were drawn from: fullrafmacalaba/datause-extracted-samplepool (2,729) + campaign-v2 draw (27,126), unified schema with passages. Slice-verified: 0 mismatches.quarantine.jsonl— 8 spans excluded from training (7 unresolved echo + 1 bad_json), with reasons. Published, not silently dropped.split_stats.json— per-split counts, docs, sources, origins.
Lineage
- Candidates from
rafmacalaba/datause-extracted(gliner2), scored byrafmacalaba/gliner-datause-v2-probe. - Campaign v2: origin x specificity x 0.1-decile draw (144 cells, floor 50 +
sqrt-proportional, seed 0) → 27,126 single-span keyed Luna requests
(v2.4 rules + v2.5 presentation, prompt
v2.5-draft-2026-09-06), one run, no consensus. 500 gold-v2 controls interleaved (94.0% judge-vs-gold agreement). - Echo re-attribution: 965/972 span-echo mismatches resolved as whitespace/punctuation normalization (single-span requests, reasons audited); 7 quarantined.
TrainingDataset.validate(): 29,346 valid / 0 invalid (strict verbatim).build_probe_v3_data.py: doc-disjoint splits; controls enter once via gold.
Labels are a Luna distillation target, not human gold. The 473
human-adjudicated spans (annotator190/jdc283) are NOT in this dataset —
they remain the external check.
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