doc_id stringlengths 16 27 | page int64 0 3.45k | chunk int64 0 38 | mention_name stringlengths 2 86 | start int64 0 2.75k | end int64 4 2.78k | extractor_specificity stringclasses 3
values | extractor_typology stringclasses 1
value | specificity stringclasses 3
values | typology stringclasses 11
values | usage stringlengths 0 1.45k ⌀ | valid_data_mention bool 2
classes | judge_error stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
refugee_pads:000109 | 22 | 1 | NPTP** database | 1,326 | 1,341 | named | named | database | register applicant households in the **⟦NPTP** database⟧[27] | true | null | |
refugee_pads:000109 | 22 | 2 | social data | 618 | 629 | vague | vague | other | ensuring availability of relevant ⟦social data⟧[28] and indicators | true | null | |
refugee_pads:000109 | 23 | 0 | administrative data | 801 | 820 | descriptive | descriptive | administrative | This may include requests for ⟦administrative data⟧[29] and budget information | true | null | |
refugee_pads:000109 | 24 | 0 | compiled database of applicants | 448 | 479 | descriptive | descriptive | database | as the ⟦compiled database of applicants⟧ is expected to become the primary targeting tool | true | null | |
refugee_pads:000109 | 24 | 0 | NPTP** database | 712 | 727 | named | named | database | utilize the **⟦NPTP** database⟧ for identification of potential beneficiaries | true | null | |
refugee_pads:000109 | 39 | 1 | database of social service providers | 667 | 703 | descriptive | descriptive | database | As a ⟦database of social service providers⟧ will be created | true | null | |
refugee_pads:000109 | 40 | 0 | database accessible to all SDCs | 1,166 | 1,197 | descriptive | descriptive | database | set up a ⟦database accessible to all SDCs⟧ | true | null | |
refugee_pads:000109 | 41 | 1 | poverty map | 1,854 | 1,865 | descriptive | descriptive | geospatial | as a ⟦poverty map⟧ is not available | true | null | |
refugee_pads:000109 | 44 | 1 | basic data about each grant awarded | 1,416 | 1,451 | descriptive | vague | other | a program website accessible to the public and containing ⟦basic data about each grant awarded⟧ | true | null | |
refugee_pads:000109 | 47 | 0 | Household Budget Survey | 563 | 586 | named | named | survey | using ⟦Household Budget Survey⟧ (HBS) data | true | null | |
refugee_pads:000109 | 50 | 2 | beneficiary satisfaction surveys | 760 | 792 | descriptive | descriptive | survey | Ad-hoc surveys could include ⟦beneficiary satisfaction surveys⟧ | true | null | |
refugee_pads:000109 | 51 | 0 | national databases | 767 | 785 | descriptive | descriptive | database | validating data and cross-checking with ⟦national databases⟧ | true | null | |
refugee_pads:000109 | 51 | 0 | household data | 804 | 818 | vague | descriptive | microdata | processing ⟦household data⟧ and generating scores and ranks | true | null | |
refugee_pads:000109 | 51 | 0 | national data | 950 | 963 | vague | descriptive | other | analyzing ⟦national data⟧ and reporting findings | true | null | |
refugee_pads:000109 | 51 | 1 | national databases | 1,236 | 1,254 | descriptive | descriptive | database | validating data and cross-checking with ⟦national databases⟧ | true | null | |
refugee_pads:000109 | 51 | 1 | household data | 1,273 | 1,287 | vague | descriptive | microdata | processing ⟦household data⟧ and generating scores and ranks | true | null | |
refugee_pads:000109 | 51 | 1 | national data | 1,420 | 1,433 | vague | descriptive | other | analyzing ⟦national data⟧ and reporting findings | true | null | |
refugee_pads:000109 | 51 | 2 | national data | 72 | 85 | vague | descriptive | other | analyzing ⟦national data⟧ and reporting findings | true | null | |
refugee_pads:000109 | 53 | 1 | project data | 550 | 562 | vague | vague | other | management of ⟦project data⟧ and funds | true | null | |
refugee_pads:000109 | 55 | 1 | quarterly IFRs | 29 | 43 | descriptive | descriptive | report | the same information as the ⟦quarterly IFRs⟧ but cover an annual period | true | null | |
refugee_pads:000109 | 65 | 1 | database on capacity building activities | 416 | 456 | descriptive | descriptive | database | a ⟦database on capacity building activities⟧ carried out under Component 1 | true | null | |
refugee_pads:000109 | 66 | 0 | quantitative data | 187 | 204 | vague | vague | other | the ⟦quantitative data⟧ contained in the MIS | true | null | |
refugee_pads:000109 | 66 | 0 | MIS | 224 | 227 | named | named | system | contained in the **⟦MIS⟧ | true | null | |
refugee_pads:000109 | 79 | 1 | Statistical Newsletter | 1,945 | 1,967 | named | named | report | ⟦Statistical Newsletter⟧. Ministry of Education and Higher Education | true | null | |
refugee_pads:000109 | 79 | 2 | World Development Indicators | 308 | 336 | named | named | database | ⟦World Development Indicators⟧ (value for the year **2010) | true | null | |
refugee_pads:000109 | 80 | 2 | telephone survey | 837 | 853 | descriptive | descriptive | survey | A ⟦telephone survey⟧ was conducted to determine the status of the **321** sub-projects | true | null | |
refugee_pads:000109 | 81 | 2 | KALAHI-CIDSS | 0 | 12 | named | named | other | ⟦KALAHI-CIDSS⟧ Project, the economic rates of return for | false | null | |
refugee_pads:000109 | 88 | 0 | dataofage-specificmorbidityrates | 537 | 569 | descriptive | vague | other | The value is calculated based on MOPH ⟦dataofage-specificmorbidityrates⟧ | true | null | |
refugee_pads:000109 | 88 | 1 | 2004 HBS data | 593 | 606 | named | named | survey | we are using ⟦2004 HBS data⟧ to simulate **NPTP** impact | true | null | |
refugee_pads:000109 | 88 | 2 | 2004 Household Budget Survey | 548 | 576 | named | named | survey | We use the ⟦2004 Household Budget Survey⟧ to run this simulation | true | null | |
refugee_pads:000109 | 88 | 2 | 2012 population in Lebanon | 736 | 762 | descriptive | descriptive | indicator | determined based on the ⟦2012 population in Lebanon⟧ | false | null | |
refugee_pads:000109 | 88 | 2 | World Development Indicator | 764 | 791 | named | named | indicator | (⟦World Development Indicator⟧) and the extreme poverty rate | true | null | |
refugee_pads:000109 | 88 | 2 | HBS | 1,035 | 1,038 | named | named | survey | when it was assessed through a ⟦HBS⟧ | true | null | |
refugee_pads:000109 | 89 | 0 | 2004 Household Budget Survey | 321 | 349 | named | named | survey | Author's calculations using ⟦2004 Household Budget Survey⟧[1] and ⟦ADePT⟧[2] | true | null | |
refugee_pads:000109 | 89 | 0 | ADePT | 354 | 359 | named | named | other | Author's calculations using ⟦2004 Household Budget Survey⟧[1] and ⟦ADePT⟧[2] | false | null | |
refugee_pads:000109 | 89 | 0 | 2004 HBS | 1,021 | 1,029 | named | named | survey | drawing a certain share (say, **10** percent) of extremely poor households in the ⟦2004 HBS⟧[3] | true | null | |
refugee_pads:000109 | 89 | 1 | 2004 HBS | 194 | 202 | named | named | survey | drawing a certain share (say, **10** percent) of extremely poor households in the ⟦2004 HBS⟧[4] | true | null | |
refugee_pads:000109 | 89 | 4 | 2004 Household Budget Survey | 223 | 251 | named | named | survey | Author's calculations using ⟦2004 Household Budget Survey⟧[5] and ⟦ADePT
21⟧[6] | true | null | |
refugee_pads:000109 | 89 | 4 | ADePT
21 | 256 | 266 | named | named | other | Author's calculations using ⟦2004 Household Budget Survey⟧[5] and ⟦ADePT
21⟧[6] | false | null | |
refugee_pads:000109 | 8 | 2 | World Development Indicators | 301 | 329 | named | named | database | Central Administration of Statistics **(CAS)** 2 ⟦World Development Indicators⟧[7] | true | null | |
refugee_pads:000109 | 90 | 3 | World Bank estimates | 307 | 327 | named | named | estimates | GDP and government expenditures projections are based on ⟦World Bank estimates⟧[8] | true | null | |
refugee_pads:000109 | 9 | 0 | household budget survey | 803 | 826 | descriptive | descriptive | survey | Based** on the latest available ⟦household budget survey⟧[9], it is estimated that nearly **27** percent of the Lebanese population | true | null | |
refugee_pads:000109 | 9 | 1 | national household budget survey | 1,805 | 1,837 | descriptive | descriptive | survey | The last ⟦national household budget survey⟧[10] conducted in Lebanon was in 2004. | true | null | |
refugee_pads:000109 | 9 | 2 | national household budget survey | 193 | 225 | descriptive | descriptive | survey | The last ⟦national household budget survey⟧[11] conducted in Lebanon was in 2004. | true | null | |
refugee_pads:000109 | 9 | 2 | Lebanon Financial Capability and Literacy Survey | 528 | 576 | named | named | survey | Findings from the ⟦Lebanon Financial Capability and Literacy Survey⟧[12] undertaken in May 2012. | true | null | |
refugee_pads:000109 | 9 | 2 | World Development Indicators | 761 | 789 | named | named | database | All** comparisons in the paragraph are based on the ⟦World Development Indicators⟧[13] for 2010 | true | null | |
refugee_pads:000110 | 12 | 0 | Poverty Assessment of 2016 | 219 | 245 | named | named | report | According to the ⟦Poverty Assessment of 2016⟧[14] and the most recent ⟦national household survey⟧[15], around 73 percent of the Burundian population is classified as poor. | true | null | |
refugee_pads:000110 | 12 | 0 | national household survey | 266 | 291 | descriptive | descriptive | survey | According to the ⟦Poverty Assessment of 2016⟧[14] and the most recent ⟦national household survey⟧[15], around 73 percent of the Burundian population is classified as poor. | true | null | |
refugee_pads:000110 | 12 | 0 | Human Capital Index | 523 | 542 | named | named | indicator | In 2018, Burundi ranked 138 out of 157 countries on the ⟦Human Capital Index⟧[16] | true | null | |
refugee_pads:000110 | 12 | 0 | Human Development Index | 585 | 608 | named | named | indicator | 185 out of 189 countries on the ⟦Human Development Index⟧[17]. | true | null | |
refugee_pads:000110 | 12 | 1 | Demographic and Health Survey | 1,777 | 1,806 | named | named | survey | ⟦Demographic and Health Survey⟧[18] (DHS) 2016- | true | null | |
refugee_pads:000110 | 12 | 2 | Demographic and Health Survey | 103 | 132 | named | named | survey | ⟦Demographic and Health Survey⟧[19] (DHS) 2016-2017. | true | null | |
refugee_pads:000110 | 12 | 2 | Demographic and Health Survey | 244 | 273 | named | named | survey | About 10 percent of Burundian children under 2 years consume a minimum acceptable diet: ⟦Demographic and Health Survey⟧[20] 2016-17. | true | null | |
refugee_pads:000110 | 12 | 2 | Human Capital Index | 455 | 474 | named | named | indicator | its ⟦Human Capital Index⟧[21] (HCI) value went up from 0.35 to 0.38 between 2012 and 2017. | true | null | |
refugee_pads:000110 | 12 | 2 | United Nations INFORM vulnerability index | 959 | 1,000 | named | named | indicator | Data from the ⟦United Nations INFORM vulnerability index⟧[22] shows: (a) on food security, Ruyigi ranks as the most vulnerable province | true | null | |
refugee_pads:000110 | 13 | 0 | Available data | 1,766 | 1,780 | vague | vague | other | ⟦Available data⟧[23] suggests that returnees face severe difficulties to restore their livelihood. | true | null | |
refugee_pads:000110 | 13 | 1 | Data as of September 30, 2019 | 546 | 575 | vague | vague | other | _Source: UNHCR. ⟦Data as of September 30, 2019⟧[24]._ | false | null | |
refugee_pads:000110 | 15 | 2 | DHS 2016-17 | 425 | 436 | named | named | survey | 56 percent of children under 5 years of age in Burundi are stunted, with 61 percent in Ngozi, 66 percent in Muyinga, 59 percent in Cankuzo, and 52 percent in Ruyigi: ⟦DHS 2016-17⟧[25] | true | null | |
refugee_pads:000110 | 16 | 0 | DHS | 549 | 552 | named | named | survey | Despite significant progress in the health sector, in the 2016-17 ⟦DHS⟧[26] under-five mortality was estimated at 78/1,000 | true | null | |
refugee_pads:000110 | 16 | 1 | Tracking SDG7 | 1,176 | 1,189 | named | named | report | Data estimate from ⟦Tracking SDG7⟧[27]: the Energy Progress Report 2018. | true | null | |
refugee_pads:000110 | 16 | 1 | WHO/UNICEF Joint Monitoring Programme | 1,361 | 1,398 | named | named | system | Data from the ⟦WHO/UNICEF Joint Monitoring Programme⟧[28] for Water Supply, Sanitation and Hygiene | true | null | |
refugee_pads:000110 | 16 | 1 | World Bank data bank | 1,462 | 1,482 | named | named | database | accessed through the ⟦World Bank data bank⟧[29] at https://data.worldbank.org/country/burundi | true | null | |
refugee_pads:000110 | 20 | 2 | CDPs | 380 | 384 | named | named | other | This sub-component will finance climate-resilient socio-economic infrastructure subprojects identified in the ⟦CDPs⟧[30]. | false | null | |
refugee_pads:000110 | 24 | 1 | RGPH 2008 | 1,558 | 1,567 | named | named | census | Index data sources: (a) Poverty: ⟦RGPH 2008⟧[1] and ⟦ECVMB 2014⟧[2] | true | null | |
refugee_pads:000110 | 24 | 1 | ECVMB 2014 | 1,572 | 1,582 | named | named | survey | Index data sources: (a) Poverty: ⟦RGPH 2008⟧[1] and ⟦ECVMB 2014⟧[2] | true | null | |
refugee_pads:000110 | 24 | 1 | ISTEEBU/WFP/ UNICEF report 2019 | 1,636 | 1,667 | named | named | report | (b) Malnutrition: ⟦ISTEEBU/WFP/ UNICEF report 2019⟧[3] | true | null | |
refugee_pads:000110 | 24 | 2 | ISTEEEBU 2018 | 184 | 197 | named | named | other | Population figures are from UNFPA/ ⟦ISTEEEBU 2018⟧[4] | true | null | |
refugee_pads:000110 | 29 | 0 | objective data | 836 | 850 | vague | vague | other | targeting communes based on ⟦objective data⟧[5] on poverty, malnutrition and the impact of forced displacement | true | null | |
refugee_pads:000110 | 33 | 1 | subproject, commune and province level data | 1,222 | 1,265 | descriptive | descriptive | database | a publicly accessible portal and dashboard that will provide information on overall project progress and the status of key results indicators, as well as detailed ⟦subproject, commune and province level data⟧[6] | true | null | |
refugee_pads:000110 | 40 | 2 | nominal debt numbers from the Central Bank | 699 | 741 | descriptive | descriptive | administrative | Source: figures are based on ⟦nominal debt numbers from the Central Bank⟧[7] and on ⟦GDP estimates from the World Bank⟧[8] | true | null | |
refugee_pads:000110 | 40 | 2 | GDP estimates from the World Bank | 749 | 782 | descriptive | descriptive | estimates | Source: figures are based on ⟦nominal debt numbers from the Central Bank⟧[7] and on ⟦GDP estimates from the World Bank⟧[8] | true | null | |
refugee_pads:000110 | 53 | 0 | baseline survey | 1,331 | 1,346 | descriptive | descriptive | survey | data will be collected during the ⟦baseline survey⟧[9] | true | null | |
refugee_pads:000110 | 53 | 1 | baseline survey | 144 | 159 | descriptive | descriptive | survey | data will be collected during the ⟦baseline survey⟧[10] | true | null | |
refugee_pads:000110 | 54 | 0 | Burundi Integrated Community Development Project | 19 | 67 | named | named | other | **The World Bank** ⟦Burundi Integrated Community Development Project⟧[11] (P169315) | false | null | |
refugee_pads:000110 | 54 | 0 | baseline survey | 83 | 98 | descriptive | descriptive | survey | |⟦baseline survey⟧[12].|_community (Y/N)? | true | null | |
refugee_pads:000110 | 67 | 1 | quarterly IFRs | 253 | 267 | descriptive | descriptive | report | The ⟦quarterly IFRs⟧[13] will be used to monitor the execution of the consolidated AWPB | true | null | |
refugee_pads:000110 | 76 | 1 | data from AFORGER | 829 | 846 | named | named | other | Source: project evaluation mission of November-December 2019 based on ⟦data from AFORGER⟧[14] (1) | true | null | |
refugee_pads:000110 | 76 | 1 | COPED | 866 | 871 | named | named | other | based on ⟦data from AFORGER⟧[14] (1), ⟦COPED⟧[15] (2) | true | null | |
refugee_pads:000110 | 76 | 1 | PRODEFI | 894 | 901 | named | named | other | ⟦COPED⟧[15] (2), and ⟦PRODEFI⟧[16] (3) | true | null | |
refugee_pads:000110 | 79 | 0 | data in the above table | 912 | 935 | vague | vague | other | Analysis of the ⟦data in the above table⟧[17] shows that | false | null | |
refugee_pads:000110 | 81 | 1 | ILO estimates | 1,392 | 1,405 | named | named | estimates | ⟦ILO estimates⟧[18] - https://data.worldbank.org/indicator/SL.TLF.CACT.FE.ZS? | true | null | |
refugee_pads:000110 | 81 | 2 | ILO estimates | 118 | 131 | named | named | estimates | ⟦ILO estimates⟧[19] - https://data.worldbank.org/indicator/SL.TLF.CACT.FE.ZS?locations=BI | true | null | |
refugee_pads:000110 | 85 | 1 | 2016-2017 Demographic and Health Survey in Burundi | 1,494 | 1,544 | named | named | survey | > 50 ⟦2016-2017 Demographic and Health Survey in Burundi⟧[20] | true | null | |
refugee_pads:000110 | 86 | 2 | Burundi Displacement Tracking Matrix | 430 | 466 | named | named | system | > 56 IOM (2018). ⟦Burundi Displacement Tracking Matrix⟧[21] | ⟦DTM Dashboard⟧[22] – September 2018. | true | null | |
refugee_pads:000110 | 86 | 2 | DTM Dashboard | 469 | 482 | named | named | system | ⟦Burundi Displacement Tracking Matrix⟧[21] | ⟦DTM Dashboard⟧[22] – September 2018. | true | null | |
refugee_pads:000110 | 86 | 2 | 2016-2017 Demographic and Health Survey in Burundi | 842 | 892 | named | named | survey | > 60 ⟦2016-2017 Demographic and Health Survey in Burundi⟧[23] | true | null | |
refugee_pads:000110 | 86 | 2 | 2016-2017 Demographic and Health Survey in Burundi | 959 | 1,009 | named | named | survey | > 62 ⟦2016-2017 Demographic and Health Survey in Burundi⟧[24] | true | null | |
refugee_pads:000110 | 87 | 1 | 2016-2017 Demographic and Health Survey in Burundi | 1,680 | 1,730 | named | named | survey | > 63 ⟦2016-2017 Demographic and Health Survey in Burundi⟧[25] | true | null | |
refugee_pads:000110 | 89 | 1 | GBV services mapping | 726 | 746 | descriptive | descriptive | other | the ⟦GBV services mapping⟧[26] for health services, will provide guidance for the project in the design of services | true | null | |
refugee_pads:000111 | 12 | 0 | poverty data | 1,485 | 1,497 | vague | vague | other | the poverty incidence based on the international $1.90 per capita per day poverty line (measured on the basis of the Purchasing Power Parity exchange rate) declining from 44.2 percent in 1991 to a 14.8 percent in 2016 (latest available ⟦poverty data⟧[27]. | true | null | |
refugee_pads:000111 | 12 | 0 | Human Capital Index 2018 | 1,519 | 1,543 | named | named | indicator | In the World Bank’s ⟦Human Capital Index 2018⟧[28], Bangladesh performed better than the South Asian average | true | null | |
refugee_pads:000111 | 12 | 2 | IOM Needs and Population Monitoring round 12 | 430 | 474 | named | named | database | > 2 ⟦IOM Needs and Population Monitoring round 12⟧[29] as of October 10, 2018 | true | null | |
refugee_pads:000111 | 13 | 2 | Population Factsheet | 500 | 520 | named | named | report | > 4 ⟦Population Factsheet⟧[30], UNHCR, Bangladesh, Cox's Bazar - as of 31 August 2018 | true | null | |
refugee_pads:000111 | 15 | 2 | District Health Information System 2 | 763 | 799 | named | named | system | ⟦District Health Information System 2⟧[1] (DHIS2), MOHFW | true | null | |
refugee_pads:000111 | 16 | 0 | 2011 census | 839 | 850 | descriptive | named | census | The population of Cox’s Bazaar is 2.29 million (⟦2011 census⟧[2]) | true | null | |
refugee_pads:000111 | 16 | 2 | Population and Housing Census 2011 | 827 | 861 | named | named | census | Bangladesh Bureau of Statistics, ⟦Population and Housing Census 2011⟧[3] | true | null | |
refugee_pads:000111 | 16 | 2 | Annual Primary School Census 2017 | 1,240 | 1,273 | named | named | census | Ministry of Primary and Mass Education (MoPME), ⟦Annual Primary School Census 2017⟧[4] | true | null | |
refugee_pads:000111 | 16 | 2 | Population Factsheet | 1,405 | 1,425 | named | named | report | ⟦Population Factsheet⟧[5], UNHCR, Bangladesh, Cox's Bazar - as of 31 August 2018 | true | null | |
refugee_pads:000111 | 36 | 0 | Implementation data | 93 | 112 | vague | vague | other | ⟦Implementation data⟧[6] will also feed into existing reporting | true | null | |
refugee_pads:000111 | 39 | 0 | regular statements of expenditure | 2,008 | 2,041 | descriptive | descriptive | administrative | based on ⟦regular statements of expenditure⟧[7] (SOEs) | true | null |
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