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
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values | typology stringclasses 11
values | usage stringlengths 0 1.45k ⌀ | valid_data_mention bool 2
classes | judge_error stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
refugee_pads:000181 | 54 | 1 | HRMIS data records | 1,394 | 1,412 | descriptive | named | administrative | DLR 5.3: Training registry maintained by the IPA and ⟦HRMIS data records⟧[13]. | true | null | |
refugee_pads:000181 | 54 | 1 | HRMIS data reports | 1,426 | 1,444 | named | named | administrative | DLR 5.4: ⟦HRMIS data reports⟧[14]. | true | null | |
refugee_pads:000181 | 54 | 2 | MIS data | 0 | 8 | descriptive | named | administrative | ⟦MIS data⟧[15]<br>records. | true | null | |
refugee_pads:000181 | 55 | 1 | standardized registry data | 1,551 | 1,577 | descriptive | descriptive | administrative | A minimum dataset utilizes ⟦standardized registry data⟧[16] such as: a unique facility ID | true | null | |
refugee_pads:000181 | 55 | 2 | client registry | 448 | 463 | descriptive | descriptive | administrative | a ⟦client registry⟧[17] (that supports the unique identification and management of patient identities) | true | null | |
refugee_pads:000181 | 55 | 2 | universal facility registry | 804 | 831 | descriptive | descriptive | administrative | a ⟦universal facility registry⟧[18] (that sets the unique identifier for locations where health services are provided) | true | null | |
refugee_pads:000181 | 55 | 2 | health professional registry | 922 | 950 | descriptive | descriptive | administrative | a ⟦health professional registry⟧[19] (that sets the unique identifier for health workers that provide services within a country) | true | null | |
refugee_pads:000181 | 55 | 2 | common product catalogue | 1,054 | 1,078 | descriptive | descriptive | database | a ⟦common product catalogue⟧[20] (that properly defines and categorizes medical products or commodities) | true | null | |
refugee_pads:000181 | 56 | 1 | infrastructure records | 1,539 | 1,561 | descriptive | descriptive | administrative | Verification of ⟦infrastructure records⟧[21] and random spot checks | true | null | |
refugee_pads:000181 | 56 | 2 | MOE training records and certification data | 371 | 414 | descriptive | named | administrative | Verification of ⟦MOE training records and certification data⟧[22] regarding G10-12 teacher completion of training. | true | null | |
refugee_pads:000181 | 57 | 1 | statistical data | 1,347 | 1,363 | vague | vague | other | expanding access to user-friendly and interactive ⟦statistical data⟧[23]. | true | null | |
refugee_pads:000181 | 58 | 0 | administrative data | 900 | 919 | descriptive | descriptive | administrative | The DLI also supports the integration of ⟦administrative data⟧[24] on the platform from key line ministries | true | null | |
refugee_pads:000181 | 61 | 1 | trusted data | 793 | 805 | vague | vague | other | using ⟦trusted data⟧[25] for eligibility purposes, access control, and the provision of efficient, in-demand digitalized services. | false | null | |
refugee_pads:000181 | 61 | 2 | record of achievement in education | 290 | 324 | descriptive | descriptive | administrative | An example is a ⟦record of achievement in education⟧[26] (proof that the person has a qualification, such as a degree) | true | null | |
refugee_pads:000181 | 61 | 2 | medical record | 390 | 404 | descriptive | descriptive | administrative | a ⟦medical record⟧[27] (details of the person’s current medication and conditions) | true | null | |
refugee_pads:000181 | 63 | 0 | Global Digital Health Index | 274 | 301 | named | named | indicator | According to the ⟦Global Digital Health Index⟧[28] (2018), Jordan has developed a more mature digital health landscape | true | null | |
refugee_pads:000181 | 63 | 1 | electronic government development index | 2,243 | 2,282 | descriptive | descriptive | indicator | Jordan's rank in the ⟦electronic government development index⟧[29] | true | null | |
refugee_pads:000181 | 63 | 2 | electronic government development index | 267 | 306 | named | descriptive | indicator | the recognition of Jordan's rank in the ⟦electronic government development index⟧[30] | true | null | |
refugee_pads:000181 | 64 | 1 | E-government Readiness Index | 1,039 | 1,067 | named | named | indicator | under the e-participation indicator of the UN’s ⟦E-government Readiness Index⟧ | true | null | |
refugee_pads:000181 | 64 | 1 | Right to Information Index | 1,218 | 1,244 | named | named | indicator | it ranks amongst the 10 least-performing countries the ⟦Right to Information Index⟧ (RTI) published by | true | null | |
refugee_pads:000181 | 65 | 0 | interactive statistical data | 749 | 777 | descriptive | vague | other | Regarding ⟦interactive statistical data⟧, the Program supports the government objective | true | null | |
refugee_pads:000181 | 67 | 2 | General census of population | 140 | 168 | descriptive | descriptive | census | ⟦General census of population⟧ and<br>households | true | null | |
refugee_pads:000181 | 68 | 1 | statistical data | 1,217 | 1,233 | vague | vague | other | Expanded access to user-friendly and interactive<br>⟦statistical data⟧. | true | null | |
refugee_pads:000181 | 68 | 2 | statistical data | 131 | 147 | vague | vague | other | Expanded access to user-friendly and interactive<br>⟦statistical data⟧. | true | null | |
refugee_pads:000181 | 68 | 2 | enhanced health quality data | 164 | 192 | descriptive | vague | other | Use of ⟦enhanced health quality data⟧ | true | null | |
refugee_pads:000181 | 68 | 2 | interactive statistical data | 834 | 862 | descriptive | vague | other | The DLIs on E- participation and ⟦interactive statistical data⟧ also call for the cooperation | true | null | |
refugee_pads:000181 | 72 | 2 | budgetary government finance statistics | 636 | 675 | descriptive | descriptive | report | The final accounts and the monthly General Government Finance Bulletin, which include ⟦budgetary government finance statistics⟧ aggregated according to the economic and functional classifications), are also published | true | null | |
refugee_pads:000181 | 74 | 1 | record of expenditure arrears | 1,461 | 1,490 | descriptive | descriptive | administrative | The MOF keeps a ⟦record of expenditure arrears⟧ reported by line ministries | true | null | |
refugee_pads:000181 | 74 | 2 | register of its assets | 647 | 669 | descriptive | descriptive | administrative | Each entity maintains a ⟦register of its assets⟧, including their age and use. | true | null | |
refugee_pads:000181 | 75 | 1 | procurement records | 327 | 346 | descriptive | descriptive | administrative | the retrieval of ⟦procurement records⟧ when needed | true | null | |
refugee_pads:000181 | 76 | 2 | World Bank debarred/suspended list | 202 | 236 | named | named | database | checking the names against the ⟦World Bank debarred/suspended list⟧ | true | null | |
refugee_pads:000181 | 77 | 1 | 2022 Corruption Perception Index | 324 | 356 | named | named | indicator | Regarding the ⟦2022 Corruption Perception Index⟧ (CPI), Jordan ranks 61 worldwide with a score of 47 | true | null | |
refugee_pads:000181 | 78 | 1 | Complaint records | 1,254 | 1,271 | descriptive | descriptive | administrative | ⟦Complaint records⟧ will be uploaded and published through the JONEPS platform. | true | null | |
refugee_pads:000182 | 12 | 0 | Global Competitiveness Index | 317 | 345 | named | named | indicator | ranking 78th in the world according to the World Economic Forum’s ⟦Global Competitiveness Index⟧ of 2019. | true | null | |
refugee_pads:000182 | 12 | 2 | Greenhouse Gas Emission and Removal Estimation System | 1,474 | 1,527 | named | named | other | “Analysis of Brazilian Greenhouse Gas Emissions and Their Implications for Goals of Climate of Brazil 1970–2019: ⟦Greenhouse Gas Emission and Removal Estimation System⟧ (SEEG 8),” The Climate Observatory | false | null | |
refugee_pads:000182 | 12 | 3 | Greenhouse Gas Emission and Removal Estimation System | 2 | 55 | named | named | other | > 3 Luis A. Andrés, Crystal Fenwick, and Dan Biller, “Brazil Infrastructure Assessment: Synthesis Report” (Washington, DC: World Bank, 2022), http://documents.worldbank.org/curated/en/099140006292213309/P1745440133da50c0a2630ad342de1ac83 _._
> 4 <mark>“By 2030, provide access to safe, affordable, accessible and susta... | false | null | |
refugee_pads:000182 | 14 | 3 | AMFRI data | 470 | 480 | named | named | other | ⟦AMFRI data⟧). | true | null | |
refugee_pads:000182 | 15 | 1 | public transport analyses of Brazilian cities | 406 | 451 | descriptive | descriptive | other | ⟦public transport analyses of Brazilian cities⟧ reveal that women and minorities are more dependent on buses | false | null | |
refugee_pads:000182 | 15 | 1 | survey from 2019 | 924 | 940 | descriptive | descriptive | survey | According to a ⟦survey from 2019⟧ conducted by the _Locomotiva_ and _Patrícia Galvão_ institutes across Brazil | true | null | |
refugee_pads:000182 | 15 | 2 | data from the International Labor Organization | 446 | 492 | descriptive | named | other | According to ⟦data from the International Labor Organization⟧, a lack of safe transport reduces the probability | true | null | |
refugee_pads:000182 | 15 | 2 | DATASUS data | 728 | 740 | named | named | database | the national rate (15.5) (⟦DATASUS data⟧). | true | null | |
refugee_pads:000182 | 15 | 2 | RAIS | 983 | 987 | named | named | database | Data Source: ⟦RAIS⟧, 2019. | true | null | |
refugee_pads:000182 | 15 | 2 | Gender-disaggregated mobility data for Foz do Río Itajaí | 1,002 | 1,058 | descriptive | descriptive | other | ⟦Gender-disaggregated mobility data for Foz do Río Itajaí⟧ were collected during the preparation of the Stakeholder Engagement Plan | true | null | |
refugee_pads:000182 | 15 | 2 | PNAD-Contínua | 1,194 | 1,207 | named | named | survey | Data derived from ⟦PNAD-Contínua⟧ (2019) State of Santa Catarina. | true | null | |
refugee_pads:000182 | 16 | 2 | Data derived from RAIS | 917 | 939 | named | named | database | > 22 ⟦Data derived from RAIS⟧ (2019). | true | null | |
refugee_pads:000182 | 20 | 3 | Household interviews | 473 | 493 | descriptive | descriptive | survey | based on ⟦Household interviews⟧, traffic and public transport demand and focus groups or qualitative data research. | true | null | |
refugee_pads:000182 | 21 | 2 | Pesquisa Nacional de Saúde do Escolar | 1,159 | 1,196 | named | named | survey | (IBGE 2019; ⟦Pesquisa Nacional de Saúde do Escolar⟧[29] [PeNse]). | true | null | |
refugee_pads:000182 | 30 | 0 | climate data | 322 | 334 | vague | vague | other | will be informed by updated ⟦climate data⟧, where they relate to flooding and landslides | true | null | |
refugee_pads:000182 | 35 | 1 | satisfaction and perception surveys | 533 | 568 | descriptive | descriptive | survey | satisfaction and perception surveys⟧[1] are carried out | true | null | |
refugee_pads:000182 | 3 | 0 | National Household Sample Survey | 977 | 1,009 | named | named | survey | PNAD|⟦National Household Sample Survey⟧[2] | true | null | |
refugee_pads:000182 | 40 | 2 | travel demand data | 643 | 661 | vague | descriptive | other | Since ⟦travel demand data⟧[3] for the Region is scarce | true | null | |
refugee_pads:000182 | 40 | 2 | origindestination surveys | 733 | 758 | descriptive | descriptive | survey | supporting the update of ⟦origindestination surveys⟧[4] | true | null | |
refugee_pads:000182 | 54 | 0 | data of the respective Federation entities | 1,373 | 1,415 | descriptive | descriptive | administrative | verifying the ⟦data of the respective Federation entities⟧[5] by the year 2023 | true | null | |
refugee_pads:000182 | 54 | 1 | Bertha System | 2,092 | 2,105 | named | named | system | Project’s accounting records in the ⟦Bertha System⟧[6] will need be reconciled | true | null | |
refugee_pads:000182 | 54 | 2 | Bertha System | 195 | 208 | named | named | system | Project’s accounting records in the ⟦Bertha System⟧[7] will need be reconciled | true | null | |
refugee_pads:000182 | 55 | 0 | inventory record | 1,953 | 1,969 | descriptive | descriptive | other | assets purchased are listed in an ⟦inventory record⟧[8] | true | null | |
refugee_pads:000182 | 55 | 1 | inventory record | 90 | 106 | descriptive | descriptive | other | assets purchased are listed in an ⟦inventory record⟧[9] | true | null | |
refugee_pads:000182 | 56 | 1 | Bertha System | 332 | 345 | named | named | system | all payments using the ⟦Bertha System⟧[10] once payment obligations have been committed and verified | true | null | |
refugee_pads:000182 | 56 | 1 | Bertha System | 881 | 894 | named | named | system | register payment processes in the ⟦Bertha System⟧[11] | true | null | |
refugee_pads:000182 | 56 | 1 | Bertha System | 1,060 | 1,073 | named | named | system | using information available in the ⟦Bertha System⟧[12] | true | null | |
refugee_pads:000182 | 56 | 1 | accounting records | 1,109 | 1,127 | descriptive | descriptive | administrative | The SOEs will be supported by the ⟦accounting records⟧[13] | true | null | |
refugee_pads:000182 | 57 | 0 | Bertha System | 1,334 | 1,347 | named | named | system | financial reports (IFRs) will be produced with information extracted from the ⟦Bertha System⟧[14] | true | null | |
refugee_pads:000182 | 60 | 0 | demand forecasts for 2027–2043 | 1,054 | 1,084 | descriptive | descriptive | estimates | system corridors were designed according to ⟦demand forecasts for 2027–2043⟧[15] | true | null | |
refugee_pads:000182 | 61 | 1 | big data | 1,396 | 1,404 | vague | vague | other | operations control center using ⟦big data⟧[16] to advance continuous improvements in the service | true | null | |
refugee_pads:000182 | 72 | 1 | Origin and Destination (OD) Survey | 429 | 463 | named | named | survey | calibrated using information from the ⟦Origin and Destination (OD) Survey⟧[17] | true | null | |
refugee_pads:000182 | 72 | 1 | mobile data from cell phones | 481 | 509 | descriptive | descriptive | geospatial | carried out with ⟦mobile data from cell phones⟧[18] | true | null | |
refugee_pads:000182 | 72 | 1 | revealed preference data | 1,074 | 1,098 | descriptive | descriptive | other | estimate marginal income utility based on ⟦revealed preference data⟧[19] sampled from users | true | null | |
refugee_pads:000182 | 73 | 0 | latest available data | 1,132 | 1,153 | vague | vague | other | using the ⟦latest available data⟧[20] | true | null | |
refugee_pads:000183 | 15 | 0 | United Nations Human Development Index | 1,243 | 1,281 | named | named | indicator | ranked 189th out of 193 countries on the ⟦United Nations Human Development Index⟧[21] in 2023 | true | null | |
refugee_pads:000183 | 15 | 1 | United Nations Human Development Index | 50 | 88 | named | named | indicator | on the ⟦United Nations Human Development Index⟧[22] in 2023 | true | null | |
refugee_pads:000183 | 15 | 2 | Macro Poverty Outlook | 1,707 | 1,728 | named | named | other | ⟦Macro Poverty Outlook⟧[23] - World Bank, April 2022 | false | null | |
refugee_pads:000183 | 23 | 0 | e-voucher enrollment survey | 1,940 | 1,967 | descriptive | descriptive | survey | through the ⟦e-voucher enrollment survey⟧[24] | true | null | |
refugee_pads:000183 | 23 | 1 | e-voucher enrollment survey | 198 | 225 | descriptive | descriptive | survey | through the ⟦e-voucher enrollment survey⟧[25] | true | null | |
refugee_pads:000183 | 28 | 0 | rural telephone service network | 1,827 | 1,858 | descriptive | descriptive | other | Tapping into the growing ⟦rural telephone service network⟧[26] coverage | false | null | |
refugee_pads:000183 | 29 | 2 | quantitative data | 828 | 845 | vague | vague | other | collection of ⟦quantitative data⟧[27] on the RF performance indicators | true | null | |
refugee_pads:000183 | 29 | 2 | quantitative data | 1,024 | 1,041 | vague | vague | other | regular ⟦quantitative data⟧[28] collection | true | null | |
refugee_pads:000183 | 29 | 2 | qualitative surveys | 1,067 | 1,086 | descriptive | descriptive | survey | periodic ⟦qualitative surveys⟧[29] on key thematic areas | true | null | |
refugee_pads:000183 | 30 | 0 | RF reference data | 893 | 910 | descriptive | descriptive | other | establish the ⟦RF reference data⟧[30] and verify targets | true | null | |
refugee_pads:000183 | 37 | 0 | beneficiary satisfaction surveys | 1,754 | 1,786 | descriptive | descriptive | survey | beneficiary satisfaction surveys which provide a quantitative assessment of services provided by the project | true | null | |
refugee_pads:000183 | 38 | 0 | International Monetary Fund-World Bank Debt Sustainability Analysis | 529 | 596 | named | named | report | according to the most recent International Monetary Fund-World Bank Debt Sustainability Analysis of December 2021 | true | null | |
refugee_pads:000183 | 39 | 0 | Geo-Enabling Monitoring System | 976 | 1,006 | named | named | system | use of the Geo-Enabling Monitoring System (GEMS) to undertake M&E | true | null | |
refugee_pads:000183 | 43 | 2 | Agribusiness market information system | 653 | 691 | named | named | other | Agribusiness market information system operational(Yes/No) | false | null | |
refugee_pads:000183 | 43 | 3 | Agribusiness market information system | 2 | 40 | named | named | other | Agribusiness market information system operational(Yes/No) | false | null | |
refugee_pads:000183 | 62 | 0 | World Bank STEP system | 1,752 | 1,774 | named | named | system | all procurement transactions will be recorded into the World Bank STEP system | true | null | |
refugee_pads:000183 | 66 | 2 | primary and secondary data | 941 | 967 | vague | descriptive | other | The analysis is based on primary and secondary data collected during the formulation mission, desk research | true | null | |
refugee_pads:000183 | 69 | 2 | data collected during the field mission | 1,547 | 1,586 | descriptive | descriptive | other | The number of vendors has been estimated based on data collected during the field mission | true | null | |
refugee_pads:000183 | 73 | 0 | Guidelines for National Greenhouse Gas Inventories | 966 | 1,016 | named | named | other | The tool is built mostly using mostly data from the Intergovernmental Panel on Climate Change (IPPCC) Guidelines for National Greenhouse Gas Inventories | true | null | |
refugee_pads:000183 | 80 | 0 | e-voucher database | 1,189 | 1,207 | descriptive | descriptive | database | women farmers receive e-vouchers to access improved inputs (seeds and seedlings, fingerlings, fertilizer) through the e-voucher database during the enrollment survey | true | null | |
refugee_pads:000183 | 82 | 0 | socio-economic data | 1,757 | 1,776 | vague | descriptive | microdata | UNHCR collected and shared the socio-economic data of specific 'high profile’ categories | true | null | |
refugee_pads:000183 | 82 | 1 | socio-economic data | 115 | 134 | vague | descriptive | microdata | UNHCR collected and shared the socio-economic data of specific 'high profile’ categories | true | null | |
refugee_pads:000183 | 82 | 2 | national database | 383 | 400 | descriptive | descriptive | database | resulted in an agreement to enroll refugees in the national database | true | null | |
refugee_pads:000183 | 86 | 1 | World Development Indicators_ | 708 | 737 | named | named | database | Source: World Development Indicators_ | true | null | |
refugee_pads:000183 | 87 | 1 | World Bank Enterprise Surveys | 255 | 284 | named | named | survey | Source: World Bank Enterprise Surveys, 2018. | true | null | |
refugee_pads:000183 | 88 | 0 | Findex Database | 483 | 498 | named | named | database | Source: Global Findex Database, 2017. | true | null | |
refugee_pads:000183 | 88 | 0 | credit risk registry | 1,073 | 1,093 | descriptive | descriptive | administrative | the regional Central Bank - Bank of Central African States ( Banque des Etats d’Afrique Centrale, BEAC) has a credit risk registry | true | null | |
refugee_pads:000183 | 88 | 0 | data from microfinance institutions | 1,260 | 1,295 | descriptive | descriptive | other | the non-inclusion of data from microfinance institutions which account for a large number of loans | true | null | |
refugee_pads:000183 | 88 | 2 | Findex report | 824 | 837 | named | named | report | According to 2017 Global Findex report, Chad is one of only 10 countries | true | null | |
refugee_pads:000183 | 89 | 0 | World Bank Global Findex Database | 553 | 586 | named | named | database | Source: World Bank Global Findex Database (2014-2017) | true | null | |
refugee_pads:000184 | 11 | 2 | data from the World Food Program | 1,606 | 1,638 | named | descriptive | other | Recent data from the World Food Program indicates that over 3.3 million individuals were classified as acutely food insecure | true | null | |
refugee_pads:000184 | 11 | 3 | Global Food Security Support Analysis Data | 1,155 | 1,197 | named | named | geospatial | Global Food Security Support Analysis Data (GFSAD) Crop Dominance 2010 Global 1 km V001 [Ddata set] | true | null |
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