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:000130 | 62 | 0 | beneficiary database | 980 | 1,000 | descriptive | descriptive | database | Proportion of households enrolled in the ⟦beneficiary database⟧ living below the extreme poverty line | true | null | |
refugee_pads:000130 | 64 | 1 | Unified Social Registry | 533 | 556 | named | named | system | development of a ⟦Unified Social Registry⟧ | true | null | |
refugee_pads:000130 | 65 | 0 | PDO Indicators | 988 | 1,002 | named | named | other | **PDO Indicators** **Datasource** | false | null | |
refugee_pads:000130 | 65 | 1 | National Social Registry | 161 | 185 | named | named | system | households that are registered in the ⟦National Social Registry⟧ | true | null | |
refugee_pads:000130 | 65 | 1 | National Social Registry | 240 | 264 | named | named | system | registered in the ⟦National Social Registry⟧ in project implementation | true | null | |
refugee_pads:000130 | 65 | 1 | Socio-economic data | 557 | 576 | vague | descriptive | other | ⟦Socio-economic data⟧ | true | null | |
refugee_pads:000130 | 66 | 0 | National Social Registry | 66 | 90 | named | named | system | included in the ⟦National Social Registry⟧ - refugees, disaggregated by gender | true | null | |
refugee_pads:000130 | 66 | 0 | social registry | 183 | 198 | descriptive | vague | system | registered in the national ⟦social registry⟧ | true | null | |
refugee_pads:000130 | 66 | 0 | social registry | 290 | 305 | descriptive | vague | system | collected and inserted in the ⟦social registry⟧ | true | null | |
refugee_pads:000130 | 66 | 0 | social registry | 306 | 321 | descriptive | vague | system | inserted in the ⟦social registry⟧ | true | null | |
refugee_pads:000130 | 66 | 0 | social registry | 746 | 761 | descriptive | vague | system | Agency handling the ⟦social registry⟧ | true | null | |
refugee_pads:000130 | 66 | 0 | beneficiary database | 808 | 828 | descriptive | descriptive | database | households enrolled in the ⟦beneficiary database⟧ living below the extreme poverty line | true | null | |
refugee_pads:000130 | 66 | 0 | Socio-economic data | 1,046 | 1,065 | descriptive | descriptive | other | ⟦Socio-economic data⟧ will be collected from beneficiaries | true | null | |
refugee_pads:000130 | 66 | 1 | socio-economic data | 320 | 339 | vague | descriptive | other | collection of ⟦socio-economic data⟧ | true | null | |
refugee_pads:000130 | 67 | 0 | economic data | 595 | 608 | vague | vague | other | collection of ⟦economic data⟧ | true | null | |
refugee_pads:000130 | 72 | 0 | beneficiary data | 759 | 775 | vague | descriptive | other | collect information on the ⟦beneficiary data⟧ | true | null | |
refugee_pads:000130 | 73 | 0 | Unified Social Registry | 179 | 202 | named | named | system | Decree approving the development of a ⟦Unified Social Registry⟧ | true | null | |
refugee_pads:000130 | 75 | 0 | social registry | 480 | 495 | descriptive | vague | system | establishment of the country’s ⟦social registry⟧ | true | null | |
refugee_pads:000130 | 75 | 0 | IBM surveys | 1,583 | 1,594 | named | named | survey | assist in carrying out ⟦IBM surveys⟧, spot checks and process evaluations | true | null | |
refugee_pads:000130 | 80 | 1 | DHS III | 1,035 | 1,042 | named | named | survey | the ⟦DHS III⟧ 2016/2017 revealed that skilled women are likely to have few children than unskilled ones | true | null | |
refugee_pads:000130 | 81 | 0 | global report on gender inequality | 755 | 789 | descriptive | descriptive | report | The ⟦global report on gender inequality⟧[1] indicates that businesses owned by women account for 9 percent | true | null | |
refugee_pads:000130 | 81 | 1 | jobs diagnostics and other available data | 1,950 | 1,991 | descriptive | descriptive | other | will use ⟦jobs diagnostics and other available data⟧[2] to | true | null | |
refugee_pads:000130 | 81 | 2 | jobs diagnostics and other available data | 150 | 191 | descriptive | descriptive | other | will use ⟦jobs diagnostics and other available data⟧[3] to | true | null | |
refugee_pads:000130 | 82 | 0 | National Social Registry | 1,723 | 1,747 | named | named | system | Households in targeted areas included in the ⟦National Social Registry⟧[4] – dissagregated by gender | true | null | |
refugee_pads:000130 | 83 | 0 | ND-GAIN index | 1,671 | 1,684 | named | named | indicator | Burundi ranks 169 out of 182 countries in the ⟦ND-GAIN index⟧[5] for climate vulnerability | true | null | |
refugee_pads:000130 | 83 | 1 | ND-GAIN index | 119 | 132 | named | named | indicator | Burundi ranks 169 out of 182 countries in the ⟦ND-GAIN index⟧[6] for climate vulnerability | true | null | |
refugee_pads:000130 | 83 | 2 | World Bank collection of development indicators | 346 | 393 | named | named | database | Burundi’s annual population growth, 3.0761 percent in 2020, according to the ⟦World Bank collection of development indicators⟧[7] | true | null | |
refugee_pads:000130 | 83 | 2 | World Bank collection of development indicators | 630 | 677 | named | named | database | reported at 435 sq. Km in 2018, according to the ⟦World Bank collection of development indicators⟧[8] | true | null | |
refugee_pads:000130 | 84 | 0 | Cash for Jobs Project | 19 | 40 | named | named | other | The World Bank ⟦Cash for Jobs Project⟧[9] (P175327) | false | null | |
refugee_pads:000130 | 86 | 0 | social registries of poor and vulnerable households | 594 | 645 | descriptive | descriptive | system | unique and universal identification, ⟦social registries of poor and vulnerable households⟧[10] and electronic/digital payment mechanisms to get cash to households | true | null | |
refugee_pads:000130 | 87 | 0 | social registry | 311 | 326 | descriptive | descriptive | system | supporting the development and scale up of a ⟦social registry⟧[11] that could be used in the event of a crisis | true | null | |
refugee_pads:000130 | 87 | 0 | social registries of poor and vulnerable households | 735 | 786 | descriptive | descriptive | system | unique and universal identification, ⟦social registries of poor and vulnerable households⟧[12] and electronic/digital payment mechanisms to get cash to households | true | null | |
refugee_pads:000130 | 88 | 1 | socio-economic data | 277 | 296 | descriptive | vague | other | The Social Registry will collect ⟦socio-economic data⟧[13] from beneficiaries | true | null | |
refugee_pads:000131 | 11 | 2 | 2017-18 household survey | 375 | 399 | descriptive | descriptive | survey | based on the ⟦2017-18 household survey⟧[14] | true | null | |
refugee_pads:000131 | 11 | 2 | 2017 data | 937 | 946 | vague | vague | other | United Nations High Commissioner for Refugees (UNHCR), ⟦2017 data⟧[15] | true | null | |
refugee_pads:000131 | 12 | 0 | Human Development Index | 427 | 450 | named | named | indicator | with a ⟦Human Development Index⟧[16] (HDI) value of 0.524 in 2019 | true | null | |
refugee_pads:000131 | 12 | 0 | Human Capital Index | 619 | 638 | named | named | indicator | doesn’t have a score in the World Bank’s ⟦Human Capital Index⟧[17] | true | null | |
refugee_pads:000131 | 12 | 0 | 2017-18 household survey | 1,449 | 1,473 | descriptive | descriptive | survey | The ⟦2017-18 household survey⟧[18], _nquete Djiboutienne Aupres des Menages pour les indicateurs sociaux | true | null | |
refugee_pads:000131 | 12 | 0 | EDAM4-IS | 1,545 | 1,553 | named | named | survey | indicateurs sociaux (⟦EDAM4-IS⟧[19]) | true | null | |
refugee_pads:000131 | 12 | 1 | EDAM4-IS | 68 | 76 | named | named | survey | indicateurs sociaux (⟦EDAM4-IS⟧[20]) | true | null | |
refugee_pads:000131 | 12 | 2 | Global Hunger Index | 282 | 301 | named | named | indicator | with a ⟦Global Hunger Index⟧[21] score of 27.4 | true | null | |
refugee_pads:000131 | 12 | 2 | country data | 807 | 819 | vague | vague | other | Due to insufficient ⟦country data⟧[22], Djibouti has not been included | true | null | |
refugee_pads:000131 | 12 | 2 | Human Capital Index | 859 | 878 | named | named | indicator | included in the ⟦Human Capital Index⟧[23] assessment by the World Bank | true | null | |
refugee_pads:000131 | 13 | 0 | Notre Dame Global Adaptation Initiative (ND-GAIN) Index | 719 | 774 | named | named | indicator | The ⟦Notre Dame Global Adaptation Initiative (ND-GAIN) Index⟧[24] places Djibouti at 123 out of 181 countries | true | null | |
refugee_pads:000131 | 16 | 1 | Standardized Monitoring and Assessment of Relief and Transitions | 555 | 619 | named | named | survey | ⟦Standardized Monitoring and Assessment of Relief and Transitions⟧[25] (SMART) Survey Results | true | null | |
refugee_pads:000131 | 16 | 1 | World Development Indicators | 683 | 711 | named | named | database | World Bank, ⟦World Development Indicators⟧[26] (others) | true | null | |
refugee_pads:000131 | 17 | 2 | UNCTAD Stat | 369 | 380 | named | named | database | latest available year from ⟦UNCTAD Stat⟧[27], United Nations Conference on Trade and Development | true | null | |
refugee_pads:000131 | 17 | 2 | World Development Indicators | 490 | 518 | named | named | database | latest available year from ⟦World Development Indicators⟧[28], World Bank | true | null | |
refugee_pads:000131 | 17 | 3 | UNICEF-WHO-WB Joint Child Malnutrition Estimates | 883 | 931 | named | named | estimates | nutrition estimates from the ⟦UNICEF-WHO-WB Joint Child Malnutrition Estimates⟧[29], which indicate a substantially higher rate of stunting | true | null | |
refugee_pads:000131 | 17 | 3 | Djibouti 2019 SMART survey | 1,006 | 1,032 | named | named | survey | found by the ⟦Djibouti 2019 SMART survey⟧[30] | true | null | |
refugee_pads:000131 | 18 | 0 | 2017-18 household survey | 199 | 223 | descriptive | descriptive | survey | Based on findings from the ⟦2017-18 household survey⟧ | true | null | |
refugee_pads:000131 | 19 | 0 | EDAM survey_ | 217 | 229 | named | named | survey | World Bank visualization based on the 2017-2018 ⟦EDAM survey_⟧ | true | null | |
refugee_pads:000131 | 22 | 0 | Service Availability and Readiness Assessment (SARA) survey | 148 | 207 | named | named | survey | _Source: ⟦Service Availability and Readiness Assessment (SARA) survey⟧, 2015_ | true | null | |
refugee_pads:000131 | 23 | 0 | Healthcare Access and Quality Index | 1,067 | 1,102 | named | named | indicator | reflected in the low ⟦Healthcare Access and Quality Index⟧ of 35 | true | null | |
refugee_pads:000131 | 24 | 2 | PNDS | 877 | 881 | named | named | other | The comprehensive and timely ⟦PNDS⟧ does not seem to be officially published | false | null | |
refugee_pads:000131 | 25 | 0 | WHO Global Health Expenditure Database_ | 1,217 | 1,256 | named | named | database | _Source: ⟦WHO Global Health Expenditure Database_⟧ | true | null | |
refugee_pads:000131 | 26 | 1 | December 2020-January 2021 telephonic survey | 459 | 503 | descriptive | descriptive | survey | according to a ⟦December 2020-January 2021 telephonic survey⟧ | true | null | |
refugee_pads:000131 | 26 | 2 | third wave of survey | 624 | 644 | descriptive | descriptive | survey | Results from ⟦third wave of survey⟧ | true | null | |
refugee_pads:000131 | 27 | 1 | civil registration and vital statistics | 1,023 | 1,062 | descriptive | descriptive | administrative | Inadequate ⟦civil registration and vital statistics⟧ (CRVS) system | true | null | |
refugee_pads:000131 | 27 | 1 | patient/user data | 1,543 | 1,560 | descriptive | vague | microdata | ensuring that better ⟦patient/user data⟧ is collected at the point of service | true | null | |
refugee_pads:000131 | 27 | 2 | patient/user data | 119 | 136 | descriptive | vague | microdata | ensuring that better ⟦patient/user data⟧ is collected at the point of service | true | null | |
refugee_pads:000131 | 28 | 1 | routine household and health facility surveys | 1,524 | 1,569 | descriptive | descriptive | survey | including ⟦routine household and health facility surveys⟧ to enable the triangulation of data | true | null | |
refugee_pads:000131 | 28 | 1 | RMNCAH-N data | 1,739 | 1,752 | descriptive | vague | other | promoting the publication of key ⟦RMNCAH-N data⟧ in the public domain | true | null | |
refugee_pads:000131 | 28 | 2 | RMNCAH-N data | 90 | 103 | named | vague | other | promoting the publication of key ⟦RMNCAH-N data⟧ in the public domain | true | null | |
refugee_pads:000131 | 29 | 1 | gender-disaggregated data and gender statistics | 701 | 748 | descriptive | vague | other | collection of ⟦gender-disaggregated data and gender statistics⟧ in the project’s results framework | true | null | |
refugee_pads:000131 | 2 | 0 | Civil Registration and Vital Statistics | 465 | 504 | named | named | administrative | |CRVS|=⟦Civil Registration and Vital Statistics⟧[16](CRVS)| | true | null | |
refugee_pads:000131 | 31 | 0 | geospatial data | 947 | 962 | descriptive | descriptive | geospatial | A modeling exercise using ⟦geospatial data⟧ to identify the optimal distribution | true | null | |
refugee_pads:000131 | 33 | 1 | national nutrition surveillance system | 1,917 | 1,955 | descriptive | descriptive | system | activation and operationalization of a ⟦national nutrition surveillance system⟧ | true | null | |
refugee_pads:000131 | 33 | 2 | national nutrition surveillance system | 154 | 192 | descriptive | descriptive | system | activation and operationalization of a ⟦national nutrition surveillance system⟧ | true | null | |
refugee_pads:000131 | 34 | 1 | user-experience surveys | 529 | 552 | descriptive | descriptive | survey | using ongoing ⟦user-experience surveys⟧ | true | null | |
refugee_pads:000131 | 34 | 1 | user experience data | 573 | 593 | descriptive | vague | other | the integration of ⟦user experience data⟧ into administrative systems’ facility self-evaluations | true | null | |
refugee_pads:000131 | 36 | 0 | DHIS2 | 255 | 260 | named | named | system | ⟦DHIS2⟧, ⟦CRVS⟧, other surveys and data initiatives | true | null | |
refugee_pads:000131 | 36 | 0 | CRVS | 262 | 266 | named | named | administrative | ⟦DHIS2⟧, ⟦CRVS⟧, other surveys and data initiatives | true | null | |
refugee_pads:000131 | 41 | 0 | social registry | 1,744 | 1,759 | descriptive | descriptive | administrative | through the ⟦social registry⟧, to ensure that they can improve human capital investments | true | null | |
refugee_pads:000131 | 43 | 2 | International Monetary Fund data | 271 | 303 | named | named | database | based on ⟦International Monetary Fund data⟧ | true | null | |
refugee_pads:000131 | 44 | 0 | Data on DALYs for Djibouti | 358 | 384 | descriptive | descriptive | indicator | ⟦Data on DALYs for Djibouti⟧ were obtained from the Institute for Health Metrics and Evaluation’s | true | null | |
refugee_pads:000131 | 44 | 0 | Global Burden of Disease data | 454 | 483 | named | named | database | obtained from the Institute for Health Metrics and Evaluation’s ⟦Global Burden of Disease data⟧ for 2019 | true | null | |
refugee_pads:000131 | 44 | 0 | data for refugees | 1,819 | 1,836 | vague | descriptive | other | as ⟦data for refugees⟧ is not available | true | null | |
refugee_pads:000131 | 44 | 1 | data for refugees | 238 | 255 | vague | descriptive | other | as ⟦data for refugees⟧ is not available separately | true | null | |
refugee_pads:000131 | 46 | 0 | fixed assets register | 758 | 779 | descriptive | descriptive | administrative | A ⟦fixed assets register⟧ will record the purchased goods/assets, their location, price, and condition | true | null | |
refugee_pads:000131 | 54 | 0 | Health surveys | 994 | 1,008 | descriptive | descriptive | survey | ⟦Health surveys⟧[1] conducted and results made public | true | null | |
refugee_pads:000131 | 56 | 0 | HMIS | 543 | 547 | named | named | system | Semi-annual|⟦HMIS⟧[2]|Semi-annual internal project review by DGP | true | null | |
refugee_pads:000131 | 56 | 0 | HMIS | 910 | 914 | named | named | system | Semi-annual|⟦HMIS⟧[3]|Semi-annual internal project review by DGP | true | null | |
refugee_pads:000131 | 57 | 0 | HMIS | 631 | 635 | named | named | system | Semi-annual|⟦HMIS⟧[4]|Semi-annual internal | true | null | |
refugee_pads:000131 | 59 | 1 | Health surveys | 480 | 494 | descriptive | descriptive | survey | ⟦Health surveys⟧[5] conducted and results | true | null | |
refugee_pads:000131 | 60 | 0 | HMIS | 283 | 287 | named | named | system | Semi-annual|⟦HMIS⟧[6]|Semi-annual internal project review by DGP | true | null | |
refugee_pads:000131 | 60 | 0 | CRVS | 1,012 | 1,016 | named | named | administrative | Maternal, child, and neonatal deaths that are audited (verbal and clinical)||Semi-annual|⟦CRVS⟧[7]|Semi-annual internal project review by DGP | true | null | |
refugee_pads:000131 | 63 | 0 | fixed assets register | 431 | 452 | descriptive | descriptive | administrative | A ⟦fixed assets register⟧[8] will record the purchased goods/assets, their location, price, and condition. | true | null | |
refugee_pads:000131 | 63 | 1 | quarterly IFRs | 1,840 | 1,854 | descriptive | descriptive | report | Health facilities will provide the project with full information regarding the funds received and used to be included in the ⟦quarterly IFRs⟧[9]. | true | null | |
refugee_pads:000131 | 63 | 2 | quarterly IFRs | 78 | 92 | descriptive | descriptive | report | full information regarding the funds received and used to be included in the ⟦quarterly IFRs⟧[10]. | true | null | |
refugee_pads:000132 | 11 | 2 | Local Government Performance Assessment Data | 645 | 689 | named | named | database | “Analysis of Electricity Sector Using ⟦Local Government Performance Assessment Data⟧[11].” | true | null | |
refugee_pads:000132 | 23 | 0 | demand projections from LGUs | 415 | 443 | descriptive | descriptive | estimates | alignment of PETL’s transmission master plan, DISCO’s distribution master plans, and ⟦demand projections from LGUs⟧[12] | true | null | |
refugee_pads:000132 | 30 | 2 | market survey of male- and female-led MSMEs | 427 | 470 | descriptive | descriptive | survey | the project conducted a ⟦market survey of male- and female-led MSMEs⟧[13] to understand different needs for financial services | true | null | |
refugee_pads:000132 | 41 | 1 | baseline beneficiary survey | 1,675 | 1,702 | descriptive | descriptive | survey | PENRA will conduct a ⟦baseline beneficiary survey⟧[14], followed by ⟦periodic tracer surveys⟧[15] and an ⟦end survey⟧[16] | true | null | |
refugee_pads:000132 | 41 | 1 | periodic tracer surveys | 1,716 | 1,739 | descriptive | descriptive | survey | PENRA will conduct a ⟦baseline beneficiary survey⟧[14], followed by ⟦periodic tracer surveys⟧[15] and an ⟦end survey⟧[16] | true | null | |
refugee_pads:000132 | 41 | 1 | end survey | 1,747 | 1,757 | descriptive | descriptive | survey | PENRA will conduct a ⟦baseline beneficiary survey⟧[14], followed by ⟦periodic tracer surveys⟧[15] and an ⟦end survey⟧[16] | true | null | |
refugee_pads:000132 | 41 | 2 | beneficiary surveys | 469 | 488 | descriptive | descriptive | survey | PENRA will publish the results of the ⟦beneficiary surveys⟧[17] on its website | true | null | |
refugee_pads:000132 | 47 | 0 | engagement survey | 350 | 367 | descriptive | descriptive | survey | PENRA publishes on its website results of citizen ⟦engagement survey⟧[18] | true | null | |
refugee_pads:000132 | 47 | 1 | Primary data | 233 | 245 | vague | vague | other | ⟦Primary data⟧[19]||PENRA PMU | true | null | |
refugee_pads:000132 | 48 | 0 | PENRA PMU | 610 | 619 | named | named | other | ⟦PENRA PMU⟧[20] | false | null |
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