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
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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:000073 | 89 | 1 | Key Results data | 1,316 | 1,332 | descriptive | descriptive | other | (3) ⟦Key Results data⟧ (e.g. value of private investment in manufacturing firms, formal employment in manufacturing firms, etc) | true | null | |
refugee_pads:000073 | 89 | 1 | Key Risks tracking | 1,447 | 1,465 | descriptive | descriptive | other | (4) ⟦Key Risks tracking⟧ (e.g. project implementation performance, NPL ratio of banks and PAR of MFIs, etc) | true | null | |
refugee_pads:000073 | 94 | 0 | countrywide biometric verification exercise | 2,132 | 2,175 | descriptive | descriptive | other | concluded the ⟦countrywide biometric verification exercise⟧ of all asylum-seekers and refugees in Uganda | false | null | |
refugee_pads:000073 | 94 | 1 | countrywide biometric verification exercise | 65 | 108 | descriptive | descriptive | other | concluded the ⟦countrywide biometric verification exercise⟧ of all asylum-seekers and refugees in Uganda | false | null | |
refugee_pads:000073 | 95 | 0 | statistical systems | 2,196 | 2,215 | descriptive | descriptive | system | include refugee plans and programs in national planning framework and ⟦statistical systems⟧ | true | null | |
refugee_pads:000073 | 96 | 0 | statistics of refugees | 414 | 436 | descriptive | descriptive | other | strengthening compilation of ⟦statistics of refugees⟧ by the Uganda Bureau of Statistics | true | null | |
refugee_pads:000074 | 12 | 0 | Lebanon Systematic Country Diagnostic | 1,671 | 1,708 | named | named | report | This has also been highlighted in the ⟦Lebanon Systematic Country Diagnostic⟧ | true | null | |
refugee_pads:000074 | 12 | 1 | final national accounts | 1,866 | 1,889 | descriptive | descriptive | other | Between 1997 and 2011—latest utilized ⟦final national accounts⟧—the services sector accounted for an average of 74 percent of real GDP | true | null | |
refugee_pads:000074 | 12 | 2 | final national accounts | 233 | 256 | descriptive | descriptive | other | Between 1997 and 2011—latest utilized ⟦final national accounts⟧—the services sector accounted for an average of 74 percent of real GDP | true | null | |
refugee_pads:000074 | 12 | 2 | Global Competitiveness Index | 357 | 385 | named | named | other | World Economic Forum. ⟦Global Competitiveness Index⟧ 2014/2015 | false | null | |
refugee_pads:000074 | 16 | 1 | Traffic surveys | 953 | 968 | descriptive | descriptive | survey | ⟦Traffic surveys⟧ have shown that Syrians also rely significantly on public transportation | true | null | |
refugee_pads:000074 | 27 | 2 | Public transport surveys | 302 | 326 | descriptive | descriptive | survey | ⟦Public transport surveys⟧ will also provide disaggregated information | true | null | |
refugee_pads:000074 | 31 | 0 | registry of asset lists | 1,514 | 1,537 | descriptive | descriptive | administrative | lack of proper ⟦registry of asset lists⟧ | true | null | |
refugee_pads:000074 | 32 | 0 | travel demand data | 1,703 | 1,721 | descriptive | descriptive | other | based on ⟦travel demand data⟧ collected through a series of field surveys | true | null | |
refugee_pads:000074 | 32 | 0 | traffic counts | 1,823 | 1,837 | descriptive | descriptive | other | field surveys (frequency and visual occupancy, boarding and alighting, ⟦traffic counts⟧) | true | null | |
refugee_pads:000074 | 32 | 1 | stated preference surveys | 395 | 420 | descriptive | descriptive | survey | benchmarkеd against ongoing ⟦stated preference surveys⟧ (SPS) | true | null | |
refugee_pads:000074 | 41 | 0 | asset registry | 1,094 | 1,108 | descriptive | descriptive | administrative | provide the ⟦asset registry⟧ to RPTA by Project closure | true | null | |
refugee_pads:000074 | 42 | 0 | detailed census of the affected people | 1,759 | 1,797 | descriptive | descriptive | census | includes the ⟦detailed census of the affected people⟧, an inventory of affected assets | true | null | |
refugee_pads:000074 | 42 | 0 | inventory of affected assets | 1,802 | 1,830 | descriptive | descriptive | administrative | an inventory of affected assets⟧, and socioeconomic surveys | true | null | |
refugee_pads:000074 | 42 | 0 | socioeconomic surveys | 1,836 | 1,857 | descriptive | descriptive | survey | and ⟦socioeconomic surveys⟧ and extensive consultations | true | null | |
refugee_pads:000074 | 42 | 1 | detailed census of the affected people | 114 | 152 | descriptive | descriptive | census | includes the ⟦detailed census of the affected people⟧, an inventory of affected assets | true | null | |
refugee_pads:000074 | 42 | 1 | inventory of affected assets | 157 | 185 | descriptive | descriptive | administrative | an ⟦inventory of affected assets⟧, and ⟦socioeconomic surveys⟧ | true | null | |
refugee_pads:000074 | 42 | 1 | socioeconomic surveys | 191 | 212 | descriptive | descriptive | survey | and ⟦socioeconomic surveys⟧ and extensive consultations | true | null | |
refugee_pads:000074 | 46 | 1 | surveys by RPTA | 170 | 185 | descriptive | named | survey | Information about female PT users will be obtained through ⟦surveys by RPTA⟧ and operators | true | null | |
refugee_pads:000074 | 47 | 0 | Open GPS data | 718 | 732 | named | descriptive | geospatial | using the ⟦Open GPS data⟧) | true | null | |
refugee_pads:000074 | 55 | 0 | registry of asset lists | 137 | 160 | descriptive | descriptive | administrative | lack of proper ⟦registry of asset lists⟧ | true | null | |
refugee_pads:000074 | 5 | 0 | PROJECT FINANCING DATA | 85 | 107 | named | vague | other | ⟦PROJECT FINANCING DATA⟧ (US$, Millions) | false | null | |
refugee_pads:000075 | 13 | 2 | World Bank Data | 832 | 847 | named | named | other | ⟦World Bank Data⟧[16] | false | null | |
refugee_pads:000075 | 13 | 2 | World Bank Data | 855 | 870 | named | named | other | ⟦World Bank Data⟧[17] | false | null | |
refugee_pads:000075 | 14 | 2 | Uganda National COVID-19 Phone Survey Brief | 259 | 302 | named | named | other | ⟦Uganda National COVID-19 Phone Survey Brief⟧[18] | false | null | |
refugee_pads:000075 | 14 | 2 | Uganda - Refugee Statistics | 789 | 816 | named | named | other | ⟦Uganda - Refugee Statistics⟧[19] | false | null | |
refugee_pads:000075 | 15 | 2 | National Information Technology Survey 2017/18 Report | 862 | 915 | named | named | other | ⟦National Information Technology Survey 2017/18 Report⟧[20] | false | null | |
refugee_pads:000075 | 16 | 0 | Findex data | 85 | 96 | named | named | database | Global ⟦Findex data⟧ of 50 percent of adults owning mobile money accounts in Uganda | true | null | |
refugee_pads:000075 | 16 | 1 | survey by Research ICT Africa | 784 | 813 | named | descriptive | survey | Based on a ⟦survey by Research ICT Africa⟧ in 2018 | true | null | |
refugee_pads:000075 | 16 | 1 | Global Findex Database | 1,584 | 1,606 | named | named | database | “⟦Global Findex Database⟧[23]” | false | null | |
refugee_pads:000075 | 16 | 2 | Global Findex Database | 126 | 148 | named | named | database | “⟦Global Findex Database⟧[24]” | false | null | |
refugee_pads:000075 | 16 | 3 | National Information Technology Survey 2017/18 Report | 231 | 284 | named | named | other | ⟦National Information Technology Survey 2017/18 Report⟧[25] | false | null | |
refugee_pads:000075 | 17 | 0 | household surveys | 1,510 | 1,527 | descriptive | descriptive | survey | Based on ⟦household surveys⟧ with over 1,500 refugees in Kampala and the settlements | true | null | |
refugee_pads:000075 | 17 | 1 | surveys with over 1,500 refugees | 1 | 33 | descriptive | descriptive | survey | Based on ⟦surveys with over 1,500 refugees⟧ in Kampala and the settlements | true | null | |
refugee_pads:000075 | 17 | 2 | National Information Technology Survey 2017/18 Report | 364 | 417 | named | named | other | ⟦National Information Technology Survey 2017/18 Report⟧[28] | false | null | |
refugee_pads:000075 | 18 | 1 | Global Cybersecurity Index | 607 | 633 | named | named | other | ranked 7th in Africa in the ITU’s ⟦Global Cybersecurity Index⟧ | false | null | |
refugee_pads:000075 | 19 | 0 | 2020 UN e- Government Development Index | 1,416 | 1,455 | named | named | other | on the ⟦2020 UN e- Government Development Index⟧ | false | null | |
refugee_pads:000075 | 19 | 2 | 2020 UN e-Government Development Index | 833 | 871 | named | named | indicator | ⟦2020 UN e-Government Development Index⟧[1] | true | null | |
refugee_pads:000075 | 38 | 1 | results data | 1,233 | 1,245 | vague | vague | other | NITA-U will collect, compile, and analyze the ⟦results data⟧[2] | true | null | |
refugee_pads:000075 | 40 | 1 | secondary data | 1,882 | 1,896 | vague | vague | other | The model relies on available ⟦secondary data⟧[3] | true | null | |
refugee_pads:000075 | 43 | 0 | RCIP-5 records | 873 | 887 | named | named | administrative | The cabinets and other furniture for storage of ⟦RCIP-5 records⟧[4] is full | true | null | |
refugee_pads:000075 | 43 | 1 | market survey | 1,494 | 1,507 | descriptive | descriptive | survey | conduct a ⟦market survey⟧[5] before procurement processing | true | null | |
refugee_pads:000075 | 48 | 0 | refugee registration data | 1,750 | 1,775 | descriptive | descriptive | administrative | ensuring the ongoing adequacy and management of ⟦refugee registration data⟧[6] | true | null | |
refugee_pads:000075 | 48 | 1 | registration data | 1,033 | 1,050 | descriptive | descriptive | administrative | including on ⟦registration data⟧[7] management and access to digital services | true | null | |
refugee_pads:000075 | 51 | 1 | UCC | 650 | 653 | named | named | other | Data from<br>⟦UCC⟧[8] | false | null | |
refugee_pads:000075 | 51 | 1 | Annual surveys | 654 | 668 | descriptive | descriptive | survey | ⟦Annual surveys⟧[9] used by<br>NITA-U | true | null | |
refugee_pads:000075 | 52 | 1 | Data from<br>UCC | 201 | 217 | named | named | other | ⟦Data from<br>UCC⟧[10] | true | null | |
refugee_pads:000075 | 55 | 0 | ID4D dataset | 642 | 654 | named | named | database | The data sourced from<br>⟦ID4D dataset⟧[11] and GoU | true | null | |
refugee_pads:000075 | 55 | 1 | NITA-U monthly reports | 634 | 656 | named | named | report | ⟦NITA-U monthly reports⟧[12] | true | null | |
refugee_pads:000075 | 59 | 0 | secondary data | 1,742 | 1,756 | vague | vague | other | The model relies on available ⟦secondary data⟧[13] | true | null | |
refugee_pads:000075 | 60 | 0 | official figures from the Government of Estonia | 1,404 | 1,451 | descriptive | descriptive | other | Using ⟦official figures from the Government of Estonia⟧[14] as a proxy | true | null | |
refugee_pads:000075 | 63 | 1 | 2014 Uganda National Population and Housing | 925 | 968 | named | named | survey | Figures from the ⟦2014 Uganda National Population and Housing⟧[15] Survey indicate | true | null | |
refugee_pads:000075 | 63 | 1 | National Housing and Population Census 2014 | 1,101 | 1,144 | named | named | census | compared to only 26 percent of men (⟦National Housing and Population Census 2014⟧[16]) | true | null | |
refugee_pads:000075 | 63 | 2 | GSMA Mobile Gender Gap Report 2020 | 594 | 628 | named | named | report | ⟦GSMA Mobile Gender Gap Report 2020⟧[17] | true | null | |
refugee_pads:000075 | 63 | 2 | After Access Surveys 2019 | 635 | 660 | named | named | survey | ⟦After Access Surveys 2019⟧[18] | true | null | |
refugee_pads:000075 | 64 | 1 | reports of cyber harassment | 596 | 623 | descriptive | descriptive | other | Where some ⟦reports of cyber harassment⟧[19] are available | true | null | |
refugee_pads:000075 | 66 | 1 | Systematic Tracking of Exchanges in Procurement | 557 | 604 | named | named | system | The project will use the **⟦Systematic Tracking of Exchanges in Procurement⟧[20] (STEP), the World Bank’s online** planning and tracking system | true | null | |
refugee_pads:000075 | 66 | 1 | data on procurement activities and delays | 688 | 729 | descriptive | vague | other | which will provide ⟦data on procurement activities and delays⟧[21] and measure procurement performance | true | null | |
refugee_pads:000075 | 68 | 2 | market surveybeforeprocurement | 541 | 571 | descriptive | descriptive | survey | Conduct a ⟦market surveybeforeprocurement⟧[22] | true | null | |
refugee_pads:000075 | 71 | 1 | semi-annual IFRs | 897 | 913 | descriptive | descriptive | report | based on the ⟦semi-annual IFRs⟧[23] submitted to the World Bank | true | null | |
refugee_pads:000075 | 74 | 1 | geo-tagged data | 673 | 688 | descriptive | vague | geospatial | for collection and analysis of ⟦geo-tagged data⟧[24] | true | null | |
refugee_pads:000075 | 76 | 3 | Hosting Districts Report | 403 | 427 | named | named | report | Uganda’s Refugee-⟦Hosting Districts Report⟧[25] | false | null | |
refugee_pads:000076 | 18 | 1 | البيانات | 262 | 270 | descriptive | vague | other | هذه وستُ ستخدم ⟦البيانات⟧[26] كمدخلات في تقارير التقدم الفصلية والسنوية | true | null | |
refugee_pads:000076 | 30 | 4 | سجلة حكومية منظمة 2100 | 0 | 22 | named | descriptive | administrative | ⟦سجلة حكومية منظمة 2100⟧[27] نحو 2009 | true | null | |
refugee_pads:000077 | 102 | 1 | AfdB study | 514 | 524 | named | named | other | estimated from the ⟦AfdB study⟧[28] | false | null | |
refugee_pads:000077 | 102 | 1 | AfdB study | 634 | 644 | named | named | other | the 2016 demand reported in the ⟦AfdB study⟧[29] | false | null | |
refugee_pads:000077 | 102 | 3 | PDSE | 280 | 284 | named | named | report | reported in Cameroon’s ⟦PDSE⟧[30] | true | null | |
refugee_pads:000077 | 103 | 1 | UN World Population Prospects 2019 | 934 | 968 | named | named | indicator | Historic data and projections of Chad’s population are derived from the ⟦UN World Population Prospects 2019⟧[1]. | true | null | |
refugee_pads:000077 | 103 | 1 | Hatch-Artelia study | 1,054 | 1,073 | named | named | other | The number of people per household is derived from the ⟦Hatch-Artelia study⟧[2]. | true | null | |
refugee_pads:000077 | 103 | 1 | 2017 SNE Activity Report | 1,252 | 1,276 | named | named | report | Total residential consumption and consumption per household are derived from the ⟦2017 SNE Activity Report⟧[3]. | true | null | |
refugee_pads:000077 | 103 | 2 | 2017 SNE Activity Report | 130 | 154 | named | named | report | Total residential consumption and consumption per household are derived from the ⟦2017 SNE Activity Report⟧[4]. | true | null | |
refugee_pads:000077 | 104 | 0 | fractional load duration for Chad of 2017 | 356 | 397 | descriptive | descriptive | other | using the ⟦fractional load duration for Chad of 2017⟧[5] | false | null | |
refugee_pads:000077 | 104 | 0 | Chad Forecast without Project | 986 | 1,015 | named | named | other | ⟦Chad Forecast without Project⟧[6] | false | null | |
refugee_pads:000077 | 104 | 1 | AfdB study | 276 | 286 | named | named | other | estimated from the ⟦AfdB study⟧[7] for the Cameroon-Chad interconnector | true | null | |
refugee_pads:000077 | 104 | 1 | 2016 demand reported in the AfdB study | 368 | 406 | descriptive | descriptive | other | This analysis starts from the ⟦2016 demand reported in the AfdB study⟧[8] | true | null | |
refugee_pads:000077 | 104 | 2 | UN World Population Prospects 2019 | 547 | 581 | named | named | indicator | Average population growth rate in Chad for the next 25 years as per the ⟦UN World Population Prospects 2019⟧[9]. | true | null | |
refugee_pads:000077 | 108 | 2 | Global Solar Atlas | 944 | 962 | named | named | geospatial | based on the ⟦Global Solar Atlas⟧[10] - https://globalsolaratlas.ino | true | null | |
refugee_pads:000077 | 108 | 3 | Global Solar Atlas | 16 | 34 | named | named | geospatial | based on the ⟦Global Solar Atlas⟧[11] - https://globalsolaratlas.ino | true | null | |
refugee_pads:000077 | 113 | 2 | SNE Activity Report – 2017 | 411 | 437 | named | named | report | ⟦SNE Activity Report – 2017⟧[12] | true | null | |
refugee_pads:000077 | 113 | 2 | Rapport Avant-Projet Sommaire Interconnexion RIS-RIN | 712 | 764 | named | named | other | based on the ⟦Rapport Avant-Projet Sommaire Interconnexion RIS-RIN⟧[13] of IED | true | null | |
refugee_pads:000077 | 113 | 4 | SNE Activity Report – 2017 | 553 | 579 | named | named | report | ⟦SNE Activity Report – 2017⟧[14] | true | null | |
refugee_pads:000077 | 119 | 0 | survey data | 1,695 | 1,706 | vague | vague | survey | inadequate ⟦survey data⟧[15] on the consumption levels of alternate energy sources | true | null | |
refugee_pads:000077 | 119 | 1 | survey data | 67 | 78 | vague | vague | survey | inadequate ⟦survey data⟧[16] on the consumption levels of alternate energy sources | true | null | |
refugee_pads:000077 | 130 | 0 | Chad DHS | 1,102 | 1,110 | named | named | survey | _Source: ⟦Chad DHS⟧[17] (2015) and author's calculations_ | true | null | |
refugee_pads:000077 | 130 | 1 | Household Consumption and Informal Sector Surveys | 1,122 | 1,171 | descriptive | named | survey | In both Chad’s ⟦Household Consumption and Informal Sector Surveys⟧[18] carried out in 2003 and 2011 | true | null | |
refugee_pads:000077 | 130 | 1 | UN fertility data | 1,558 | 1,575 | named | named | indicator | > 70 ⟦UN fertility data⟧[19] (2017) | true | null | |
refugee_pads:000077 | 130 | 2 | UN fertility data | 4 | 21 | named | named | indicator | 70 ⟦UN fertility data⟧[20] (2017) | true | null | |
refugee_pads:000077 | 131 | 0 | Cameroon - Chad Power Interconnection Project | 19 | 64 | named | named | other | **The World Bank** ⟦Cameroon - Chad Power Interconnection Project⟧[21] (P168185) | false | null | |
refugee_pads:000077 | 131 | 1 | Chad DHS | 94 | 102 | named | named | survey | _Source: ⟦Chad DHS⟧[22] (2015) and author's calculations_ | true | null | |
refugee_pads:000077 | 132 | 0 | 2016 Climate Change Vulnerability Index | 323 | 362 | named | named | indicator | according to the ⟦2016 Climate Change Vulnerability Index⟧[23] | true | null | |
refugee_pads:000077 | 18 | 2 | 2018 Human Capital Index | 349 | 373 | named | named | indicator | on the ⟦2018 Human Capital Index⟧[24] (HCI) | true | null | |
refugee_pads:000077 | 19 | 1 | 2019 Doing Business Index | 747 | 772 | named | named | indicator | in the ⟦2019 Doing Business Index⟧[25] | true | null | |
refugee_pads:000077 | 19 | 1 | 2017-18 Global Competitiveness Index | 802 | 838 | named | named | indicator | on the ⟦2017-18 Global Competitiveness Index⟧[26] | true | null | |
refugee_pads:000077 | 20 | 1 | Human Development Index | 1,850 | 1,873 | named | named | indicator | on the ⟦Human Development Index⟧[27] in 2018 | true | null | |
refugee_pads:000077 | 20 | 2 | Human Development Index | 185 | 208 | named | named | indicator | ranking 187th out of 189 countries and territories on the ⟦Human Development Index⟧[28] in 2018 | true | null |
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