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:000004 | 43 | 0 | Project records | 430 | 445 | descriptive | descriptive | other | |Data Source|⟦Project records⟧[17]| | true | null | |
refugee_pads:000004 | 43 | 0 | Financial intermediary records | 1,060 | 1,090 | descriptive | descriptive | other | |Methodology for Data<br>Collection|⟦Financial intermediary records⟧[18]| | true | null | |
refugee_pads:000004 | 43 | 1 | Financial intermediary records | 235 | 265 | descriptive | descriptive | other | |Methodology for Data<br>Collection|⟦Financial intermediary records⟧[19]| | true | null | |
refugee_pads:000004 | 43 | 2 | Project records | 523 | 538 | descriptive | descriptive | other | |Data Source|⟦Project records⟧[20]| | true | null | |
refugee_pads:000004 | 45 | 1 | FIGA | 537 | 541 | named | named | other | |Data Source/Agency|⟦FIGA⟧[21]| | true | null | |
refugee_pads:000004 | 47 | 1 | corruption perception index | 1,218 | 1,245 | named | named | indicator | Burundi is rated 171 out of 180 countries on the ⟦corruption perception index⟧[22] for 2022 after ranking 169 in 2021. | true | null | |
refugee_pads:000004 | 47 | 2 | Burundi Public Expenditure and Financial Accountability Assessment | 429 | 495 | named | named | report | The last ⟦Burundi Public Expenditure and Financial Accountability Assessment⟧[23] (PEFA) is dated 2014, and the donors are financing an update to be finalized in late 2023/early 2024. | true | null | |
refugee_pads:000004 | 58 | 2 | Demographic and Health Survey in Burundi | 1,142 | 1,182 | named | named | survey | > 46 2016–2017 ⟦Demographic and Health Survey in Burundi⟧[24]. | true | null | |
refugee_pads:000005 | 11 | 1 | 2022 Global Gender Gap report | 1,374 | 1,403 | named | named | report | The ⟦2022 Global Gender Gap report⟧[25] ranked Ethiopia 74 out of 146 countries and 15 in Africa. | true | null | |
refugee_pads:000005 | 11 | 1 | 2022 Global Findex Survey | 1,584 | 1,609 | named | named | survey | The ⟦2022 Global Findex Survey⟧[26]<sup>7</sup> found | true | null | |
refugee_pads:000005 | 11 | 2 | 2022 Global Findex Survey | 16 | 41 | named | named | survey | sup>6</sup> The ⟦2022 Global Findex Survey⟧[27]<sup>7</sup> found | true | null | |
refugee_pads:000005 | 11 | 2 | Findex Database 2021 | 969 | 989 | named | named | database | World Bank. 2022. The Global ⟦Findex Database 2021⟧[28]: Financial Inclusion, Digital Payments, and Resilience in the age of COVID-19. | true | null | |
refugee_pads:000005 | 12 | 0 | Ethiopia Digital ID for Inclusion and Services Project | 19 | 73 | named | named | other | **The World Bank** ⟦Ethiopia Digital ID for Inclusion and Services Project⟧[29] (P179040) | false | null | |
refugee_pads:000005 | 12 | 2 | internal displacement data | 400 | 426 | vague | vague | other | In Tigray, new ⟦internal displacement data⟧[30] has been reported, including 1,021,798 IDPs (250,468 households) in 643 sites across six zones | true | null | |
refugee_pads:000005 | 13 | 1 | ID4D-Findex Survey | 1,271 | 1,289 | named | named | survey | According to the 2017 ⟦ID4D-Findex Survey⟧[1], 36 percent of the population aged 18 and older lack a Kebele ID | true | null | |
refugee_pads:000005 | 15 | 0 | data available from UNICEF | 118 | 144 | descriptive | descriptive | other | According to the latest ⟦data available from UNICEF⟧[2], only 3 percent of children under 5 years of age have their birth registered. | true | null | |
refugee_pads:000005 | 16 | 2 | exit survey | 844 | 855 | descriptive | descriptive | survey | During 2022 pilots, ID4D conducted an ⟦exit survey⟧[3] and focus group discussions among PSNP beneficiaries who registered for Fayda | true | null | |
refugee_pads:000005 | 16 | 2 | conflict analysis and end-user survey | 1,041 | 1,078 | descriptive | descriptive | survey | A ⟦conflict analysis and end-user survey⟧[4] have contributed to the design and risk mitigation measures for this project. | true | null | |
refugee_pads:000005 | 17 | 1 | Kebele IDs | 47 | 57 | named | descriptive | other | in Ethiopia that exists today (21 percent for ⟦Kebele IDs⟧[5]) | false | null | |
refugee_pads:000005 | 20 | 1 | ID data | 1,700 | 1,707 | vague | descriptive | other | development of data infrastructure such as ⟦ID data⟧[6] storage and computing capabilities for Fayda | false | null | |
refugee_pads:000005 | 21 | 2 | Ethiopia Climate Risk Profile | 1,119 | 1,148 | named | named | report | World Bank, 2021, ⟦Ethiopia Climate Risk Profile⟧[7]. | true | null | |
refugee_pads:000005 | 22 | 1 | Kebele ID paper-based records | 1,091 | 1,120 | descriptive | descriptive | administrative | ⟦Kebele ID paper-based records⟧[8] are stored locally across the country | true | null | |
refugee_pads:000005 | 23 | 1 | biographic and biometric data | 1,542 | 1,571 | descriptive | descriptive | microdata | This involves reusing ⟦biographic and biometric data⟧[9] collected by RRS | true | null | |
refugee_pads:000005 | 23 | 1 | UNHCR ProGres system | 1,601 | 1,621 | named | named | system | collected by RRS through the ⟦UNHCR ProGres system⟧[10] for Fayda registration | true | null | |
refugee_pads:000005 | 28 | 0 | satisfaction surveys | 1,438 | 1,458 | descriptive | descriptive | survey | carry out surveys (for example, ⟦satisfaction surveys⟧[11] among people and relying parties) | true | null | |
refugee_pads:000005 | 29 | 0 | ID4D-Findex Survey | 1,287 | 1,305 | named | named | survey | according to the 2018 ⟦ID4D-Findex Survey⟧[12] | true | null | |
refugee_pads:000005 | 30 | 1 | secondary data | 796 | 810 | vague | vague | other | relied on the available ⟦secondary data⟧[13] from other countries and reasonable assumptions | true | null | |
refugee_pads:000005 | 39 | 0 | Fayda registration data | 459 | 482 | named | descriptive | administrative | |Data source|⟦Fayda registration data⟧[14]| | true | null | |
refugee_pads:000005 | 39 | 1 | Fayda registration data and data from UNHCR | 180 | 223 | named | descriptive | administrative | |Data source|⟦Fayda registration data and data from UNHCR⟧[15]| | true | null | |
refugee_pads:000005 | 39 | 1 | Fayda services usage data | 1,367 | 1,392 | named | descriptive | administrative | |Data source|⟦Fayda services usage data⟧[16] - number of authentication requests received bythe system | true | null | |
refugee_pads:000005 | 3 | 0 | Socioeconomic Surveyof Refugees in Ethiopia | 346 | 389 | named | named | survey | |SESRE|⟦Socioeconomic Surveyof Refugees in Ethiopia⟧[17] | false | null | |
refugee_pads:000005 | 40 | 0 | Federal Negarit Gazette | 499 | 522 | named | named | other | |Data source|⟦Federal Negarit Gazette⟧[18]| | false | null | |
refugee_pads:000005 | 40 | 0 | Surveyvia Fayda GRM system | 972 | 998 | named | descriptive | survey | |Data source|⟦Surveyvia Fayda GRM system⟧[19]| | true | null | |
refugee_pads:000005 | 40 | 1 | Fayda system KPI | 450 | 466 | named | descriptive | indicator | |Data source|⟦Fayda system KPI⟧[20]| | true | null | |
refugee_pads:000005 | 40 | 1 | Test reports byspecialized firms | 957 | 989 | descriptive | descriptive | report | |Data source|⟦Test reports byspecialized firms⟧[21]| | true | null | |
refugee_pads:000005 | 40 | 2 | satellite data | 283 | 297 | descriptive | descriptive | geospatial | using ⟦satellite data⟧[22] compared to the global<br>positioningsystem coordinates of Fayda registration centers and mobile units. | true | null | |
refugee_pads:000005 | 41 | 0 | Ethiopia Digital ID for Inclusion and Services Project | 22 | 76 | named | named | other | # **The World Bank** ⟦Ethiopia Digital ID for Inclusion and Services Project⟧[23] (P179040) | false | null | |
refugee_pads:000005 | 41 | 0 | Heat mapof all registration locations | 155 | 192 | descriptive | descriptive | other | |Methodologyfor Data Collection|⟦Heat mapof all registration locations⟧[24]| | false | null | |
refugee_pads:000005 | 42 | 1 | IFMIS | 1,119 | 1,124 | named | named | system | the project will have to maintain records through ⟦IFMIS⟧[25]. | true | null | |
refugee_pads:000005 | 43 | 1 | six-monthly expenditure and cash requirement forecast | 1,398 | 1,451 | descriptive | descriptive | estimates | based on a ⟦six-monthly expenditure and cash requirement forecast⟧[26] (prepared based on the approved AWPB) | true | null | |
refugee_pads:000005 | 46 | 1 | Personal data | 1,780 | 1,793 | vague | vague | other | **⟦Personal data⟧[27]**<br>**breaches and misuse** | false | null | |
refugee_pads:000005 | 47 | 2 | personal data | 729 | 742 | vague | vague | other | all logs and audit trails of the user’s ⟦personal data⟧[28] and their | false | null | |
refugee_pads:000005 | 47 | 2 | personal data | 867 | 880 | vague | vague | other | facilities for the user to lock their ⟦personal data⟧[29] so that it cannot be used for authentication. | false | null | |
refugee_pads:000005 | 48 | 0 | ID4D-Findex Survey | 271 | 289 | named | named | survey | According to the ⟦ID4D-Findex Survey⟧[1] (2017), 36 percent of the population ages 18 and older lack a Kebele ID | true | null | |
refugee_pads:000005 | 48 | 0 | data from 2017 | 1,092 | 1,106 | vague | vague | other | Based on the most recent ⟦data from 2017⟧[2], the adult (age 15 and above) literacy rate for men is 59 percent | true | null | |
refugee_pads:000005 | 49 | 1 | sex-disaggregated ID data | 201 | 226 | descriptive | descriptive | other | Lack of ⟦sex-disaggregated ID data⟧[3].The current Kebele ID system does not produce any aggregated data about ID ownership | true | null | |
refugee_pads:000006 | 12 | 0 | 2022 Household Budget Survey | 1,562 | 1,590 | named | named | survey | The ⟦2022 Household Budget Survey⟧[4] estimates that poverty levels in South Sudan remain persistently high | true | null | |
refugee_pads:000006 | 12 | 1 | 2022 Household Budget Survey | 15 | 43 | named | named | survey | The ⟦2022 Household Budget Survey⟧[5] estimates that poverty levels in South Sudan remain persistently high–at around 80 percent of the population | true | null | |
refugee_pads:000006 | 12 | 1 | 2022 INFORM Risk Index | 557 | 579 | named | named | indicator | based on the European Union’s ⟦2022 INFORM Risk Index⟧[6] | true | null | |
refugee_pads:000006 | 12 | 2 | Macro Poverty Indicator | 256 | 279 | named | named | indicator | 1World Bank. ⟦Macro Poverty Indicator⟧[7], October 2023. | true | null | |
refugee_pads:000006 | 12 | 2 | Inform Risk Index | 301 | 318 | named | named | indicator | 2 ⟦Inform Risk Index⟧[8], 2024: https://www.worldbank.org/en/news/immersive-story/2023/04/25/water-security-and-fragility-insights-from-southsudan | true | null | |
refugee_pads:000006 | 13 | 2 | UNHCR Operational Data Portal | 1,064 | 1,093 | named | named | system | 6 ⟦UNHCR Operational Data Portal⟧[9] https://data.unhcr.org/en/country/ssd. | true | null | |
refugee_pads:000006 | 14 | 0 | Human Capital Index | 511 | 530 | named | named | indicator | one of the lowest ⟦Human Capital Index⟧[10] (HCI) scores at 0.31 | true | null | |
refugee_pads:000006 | 14 | 2 | Human Capital Index | 573 | 592 | named | named | indicator | 8 World Bank. ⟦Human Capital Index⟧[11], 2020. | true | null | |
refugee_pads:000006 | 14 | 2 | World Development Indicators | 748 | 776 | named | named | database | 10 World Bank. ⟦World Development Indicators⟧[12]. https://databank.worldbank.org/id/fef9176d?Report_Name=Macroeconomics-Workshop. | true | null | |
refugee_pads:000006 | 14 | 2 | Mortality Rate – Neonatal: South Sudan | 877 | 915 | named | named | indicator | 11 World Bank. ⟦Mortality Rate – Neonatal: South Sudan⟧[13]. https://data.worldbank.org/indicator/SH.DYN.NMRT?locations=SS. | true | null | |
refugee_pads:000006 | 14 | 2 | Maternal Mortality Ratio | 999 | 1,023 | named | named | indicator | 12 World Bank. ⟦Maternal Mortality Ratio⟧[14]. https://data.worldbank.org/indicator/SH.STA.MMRT?locations=SS. | true | null | |
refugee_pads:000006 | 14 | 3 | IPC Acute Food Insecurity and Malnutrition Analysis | 63 | 114 | named | named | report | 17 IPC. November 6, 2023. ⟦IPC Acute Food Insecurity and Malnutrition Analysis⟧[15] for September 2023—July 2024 for South Sudan. | true | null | |
refugee_pads:000006 | 15 | 0 | 2017 EPI coverage survey | 281 | 305 | named | named | survey | Additionally, the ⟦2017 EPI coverage survey⟧[16] estimated that only 18.9 percent of children are fully immunized | true | null | |
refugee_pads:000006 | 18 | 1 | health management information system | 1,380 | 1,416 | descriptive | descriptive | system | strengthening the ⟦health management information system⟧[17] (HMIS) data collection | true | null | |
refugee_pads:000006 | 19 | 0 | District Health Information Software 2 | 1,402 | 1,440 | named | named | system | data entry into ⟦District Health Information Software 2⟧[18] (DHIS2) | true | null | |
refugee_pads:000006 | 19 | 1 | DHIS2 data | 527 | 537 | named | named | database | UNICEF will be responsible for (a) oversight and coordination of health services and ⟦DHIS2 data⟧[19] collection and entry systems | true | null | |
refugee_pads:000006 | 19 | 1 | HMIS data | 1,122 | 1,131 | named | named | database | recording of ⟦HMIS data⟧[20], provision of HMIS data to CHDs | true | null | |
refugee_pads:000006 | 22 | 1 | DHIS2 | 316 | 321 | named | named | system | supporting the collection of routine data through ⟦DHIS2⟧[21], to standardize data collection, entry and cleaning | true | null | |
refugee_pads:000006 | 22 | 1 | Health Service Functionality (HSF) Database | 1,599 | 1,642 | named | named | database | maintain and institutionalize the ⟦Health Service Functionality (HSF) Database⟧[22] | true | null | |
refugee_pads:000006 | 23 | 0 | DHIS2 | 1,278 | 1,283 | named | named | system | routine data through ⟦DHIS2⟧[23], in support of the country’s overall HMIS | true | null | |
refugee_pads:000006 | 23 | 0 | household coverage and citizen engagement surveys | 1,564 | 1,613 | descriptive | descriptive | survey | baseline and endline ⟦household coverage and citizen engagement surveys⟧[24] | true | null | |
refugee_pads:000006 | 23 | 1 | BHI data | 996 | 1,004 | descriptive | named | other | visual representations of TPM and routine data, inclusive of ⟦BHI data⟧[25] | true | null | |
refugee_pads:000006 | 23 | 1 | DHIS2 | 1,038 | 1,043 | named | named | system | Linking of platforms, including ⟦DHIS2⟧[26] and the ⟦HSF platform⟧[27] will be integral to the work. | true | null | |
refugee_pads:000006 | 23 | 1 | HSF platform | 1,052 | 1,064 | named | descriptive | other | The data visualization platform will include visualization of ⟦Results Framework data⟧[28] and other core indicators from the HSSP | true | null | |
refugee_pads:000006 | 23 | 1 | Results Framework data | 1,157 | 1,179 | named | named | database | and will incorporate ⟦HSF data⟧[29] along with the overlay of | true | null | |
refugee_pads:000006 | 23 | 1 | HSF data | 1,300 | 1,308 | named | descriptive | other | the overlay of ⟦health and meteorologic data⟧[30] to better understand the impact of climatic patterns on health | true | null | |
refugee_pads:000006 | 23 | 1 | health and meteorologic data | 1,335 | 1,363 | descriptive | named | survey | According to the ⟦ID4D-Findex Survey⟧[1] (2017), 36 percent of the population ages 18 and older lack a Kebele ID | true | null | |
refugee_pads:000006 | 25 | 1 | refugee host minutes | 1,398 | 1,420 | descriptive | vague | other | in ⟦refugee host minutes⟧, analyzed | false | null | |
refugee_pads:000006 | 27 | 1 | household and health facility surveys | 1,301 | 1,338 | descriptive | descriptive | survey | will conduct ⟦household and health facility surveys⟧ along with surveys to solicit community and patient feedback | true | null | |
refugee_pads:000006 | 28 | 1 | direct field data | 1,670 | 1,687 | descriptive | vague | other | get access to ⟦direct field data⟧ in near real-time | true | null | |
refugee_pads:000006 | 29 | 0 | refugee household data collected by UNHCR | 209 | 250 | descriptive | named | microdata | rely on the ⟦refugee household data collected by UNHCR⟧ | true | null | |
refugee_pads:000006 | 35 | 0 | citizen engagement and beneficiary feedback surveys | 1,484 | 1,535 | descriptive | descriptive | survey | hiring of two TPM entities to verify that resources are reaching the intended beneficiaries and potential harm is minimized, consultancy for health service quality assessment, and ⟦citizen engagement and beneficiary feedback surveys⟧ | true | null | |
refugee_pads:000006 | 45 | 1 | QuarterlyHealth FacilityAssessment | 123 | 157 | named | named | survey | |Data source|⟦QuarterlyHealth FacilityAssessment⟧| | true | null | |
refugee_pads:000006 | 45 | 1 | MoH budgetarydata | 563 | 580 | descriptive | descriptive | administrative | |Data source|⟦MoH budgetarydata⟧| | true | null | |
refugee_pads:000006 | 46 | 0 | QuarterlyHealth FacilityAssessment | 140 | 174 | named | named | survey | |Data source|⟦QuarterlyHealth FacilityAssessment⟧| | true | null | |
refugee_pads:000006 | 46 | 0 | DHIS | 1,293 | 1,297 | named | named | system | |Data source|⟦DHIS⟧| | true | null | |
refugee_pads:000006 | 46 | 0 | DHIS2 | 1,335 | 1,340 | named | named | system | |Methodology for Data<br>Collection|⟦DHIS2⟧| | true | null | |
refugee_pads:000006 | 46 | 1 | TPM Report | 406 | 416 | named | named | report | |Data source|⟦TPM Report⟧| | true | null | |
refugee_pads:000006 | 47 | 0 | DHIS2 | 136 | 141 | named | named | system | |Data source|⟦DHIS2⟧| | true | null | |
refugee_pads:000006 | 47 | 0 | DHIS2 | 179 | 184 | named | named | system | |Methodology for Data|⟦DHIS2⟧| | true | null | |
refugee_pads:000006 | 47 | 0 | UNICEF/TPM report | 1,365 | 1,382 | named | named | report | |Data source|⟦UNICEF/TPM report⟧| | true | null | |
refugee_pads:000006 | 47 | 1 | UNICEF/TPM report | 39 | 56 | named | named | report | |Data source|⟦UNICEF/TPM report⟧| | true | null | |
refugee_pads:000006 | 48 | 0 | DHIS2 | 500 | 505 | named | named | system | |Data source|⟦DHIS2⟧| | true | null | |
refugee_pads:000006 | 48 | 0 | DHIS2 | 543 | 548 | named | named | system | |Methodology for Data<br>Collection|⟦DHIS2⟧| | true | null | |
refugee_pads:000006 | 48 | 0 | DHIS2 | 1,054 | 1,059 | named | named | system | |Data source|⟦DHIS2⟧| | true | null | |
refugee_pads:000006 | 48 | 1 | DHIS2 | 146 | 151 | named | named | system | |Data source|⟦DHIS2⟧| | true | null | |
refugee_pads:000006 | 48 | 1 | DHIS2 | 189 | 194 | named | named | system | |Methodology for Data<br>Collection|⟦DHIS2⟧| | true | null | |
refugee_pads:000006 | 48 | 1 | QuarterlyHealth FacilityAssessment | 1,244 | 1,278 | named | named | survey | |Data source|Pharmaceutical agency/⟦QuarterlyHealth FacilityAssessment⟧| | true | null | |
refugee_pads:000006 | 48 | 2 | QuarterlyHealth FacilityAssessment | 107 | 141 | named | named | survey | |Data source|Pharmaceutical agency/⟦QuarterlyHealth FacilityAssessment⟧| | true | null | |
refugee_pads:000006 | 49 | 0 | QuarterlyHealth FacilityAssessment | 158 | 192 | named | named | survey | |Data source|Pharmaceutical agency/⟦QuarterlyHealth FacilityAssessment⟧| | true | null | |
refugee_pads:000006 | 49 | 0 | Survey report | 849 | 862 | descriptive | descriptive | report | |Methodology for Data<br>Collection|⟦Survey report⟧| | true | null | |
refugee_pads:000006 | 49 | 1 | Survey report | 75 | 88 | descriptive | descriptive | report | |Methodology for Data|⟦Survey report⟧| | true | null | |
refugee_pads:000006 | 49 | 1 | DHIS2 | 460 | 465 | named | named | system | |Data source|⟦DHIS2⟧| | true | null | |
refugee_pads:000006 | 49 | 1 | DHIS2 | 489 | 494 | named | named | system | |Methodology for Data|⟦DHIS2⟧| | true | null |
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