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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
reliefweb:000153 | 8 | 0 | WoAA | 1,918 | 1,922 | named | named | survey | The results from ⟦WoAA⟧ show that 47% respondents in Hilmand Province, 46% in Kabul Province, 33% in Farah Province and 10% in Paktika Province felt unsafe | true | null | |
reliefweb:000153 | 8 | 1 | WoAA | 83 | 87 | named | named | survey | The results from ⟦WoAA⟧ show that 47% respondents in Hilmand Province, 46% in Kabul Province, 33% in Farah Province and 10% in Paktika Province felt unsafe | true | null | |
reliefweb:000153 | 8 | 1 | household survey | 783 | 799 | descriptive | descriptive | survey | Reports of people resorting to forced and early/child marriage were reported by 2% and 1% of the ⟦household survey⟧ respondents respectively | true | null | |
reliefweb:000153 | 8 | 2 | nationwide mine action non-technical survey | 638 | 681 | descriptive | descriptive | survey | The changes in the figures are due on-going ⟦nationwide mine action non-technical survey⟧ | true | null | |
reliefweb:000153 | 8 | 2 | Nationwide explosive contamination survey | 690 | 731 | descriptive | descriptive | survey | ⟦Nationwide explosive contamination survey⟧ (Kandahar, Hilmand, Uruzgan and Kunduz) | true | null | |
reliefweb:000153 | 9 | 0 | Nationwide Explosive Contamination Survey | 411 | 452 | named | named | survey | While MASC partners launched a ⟦Nationwide Explosive Contamination Survey⟧ and deployed a large number of teams | true | null | |
reliefweb:000157 | 2 | 0 | Population Table | 196 | 212 | descriptive | named | other | |**⟦Population Table⟧**|**6**| | false | null | |
reliefweb:000157 | 40 | 0 | early school leaving data | 1,395 | 1,420 | descriptive | vague | other | track learning, attendance and<br>⟦early school leaving data⟧ | true | null | |
reliefweb:000157 | 40 | 1 | early school leaving data | 167 | 192 | descriptive | vague | other | track learning, attendance and<br>⟦early school leaving data⟧ | true | null | |
reliefweb:000157 | 4 | 2 | UNHCR Global Trends Report 2024 | 675 | 706 | named | named | report | ⟦UNHCR Global Trends Report 2024⟧ – Data Finder (data as of end 2024) | true | null | |
reliefweb:000157 | 5 | 0 | 2024 year-end statistics of PMM | 980 | 1,011 | named | named | administrative | are all based on official ⟦2024 year-end statistics of PMM⟧ | true | null | |
reliefweb:000157 | 5 | 1 | 2024 year-end statistics of PMM | 226 | 257 | named | named | administrative | are all based on official ⟦2024 year-end statistics of PMM⟧ | true | null | |
reliefweb:000157 | 5 | 1 | government provided data | 1,330 | 1,354 | descriptive | vague | administrative | an estimation of the people in need in these four provinces is based on the latest data and estimates from humanitarian partners active in responding to the earthquakes as well as ⟦government provided data⟧ | true | null | |
reliefweb:000158 | 0 | 0 | Civilian Impact Monitoring Report | 4 | 37 | named | named | report | ## **⟦Civilian Impact Monitoring Report⟧ April 2018** | true | null | |
reliefweb:000158 | 21 | 0 | Civilian impact incidents | 57 | 82 | descriptive | vague | other | ⟦Civilian impact incidents⟧ in Al-Hudadyah in February and March were concentrated in the south of the governorate | false | null | |
reliefweb:000158 | 2 | 0 | CIMP | 830 | 834 | named | named | other | - ⟦CIMP⟧ recorded 252 incidents with civilian impact compared to 322 in the previous reporting period | false | null | |
reliefweb:000158 | 36 | 0 | civilian impact monitoring project | 469 | 503 | descriptive | named | other | the start of the ⟦civilian impact monitoring project⟧ | false | null | |
reliefweb:000158 | 5 | 0 | humanitarian databases | 2,020 | 2,042 | descriptive | descriptive | database | the data is regularly triangulated with other ⟦humanitarian databases⟧ | true | null | |
reliefweb:000158 | 5 | 0 | unverified open source data | 2,108 | 2,135 | vague | descriptive | other | The data presented in this report consist of a combination of ⟦unverified open source data⟧, cross referenced open source data, eye witness accounts and incidents verified by protection cluster partners | true | null | |
reliefweb:000158 | 5 | 1 | CIMP data | 1,044 | 1,053 | named | named | system | Therefore, ⟦CIMP data⟧ does not include full numbers of people being displaced | true | null | |
reliefweb:000161 | 2 | 0 | données sur les mouvements mixtes | 375 | 408 | descriptive | descriptive | survey | Ainsi depuis mai 2018, les ⟦données sur les mouvements mixtes⟧ collectées et analysées par la CRT/MIM en collaboration avec le HCR représentent 57.009 personnes | true | null | |
reliefweb:000161 | 7 | 0 | UNHCR Data Portal - Chad | 470 | 494 | named | named | system | www.unhcr.org | ⟦UNHCR Data Portal - Chad⟧ | ⟦UNHCR Chad⟧ Twitter | true | null | |
reliefweb:000162 | 10 | 0 | Оцінка захисту дітей | 260 | 280 | descriptive | named | survey | ⟦Оцінка захисту дітей⟧ Ініціативою REACH у 2024 р. показала, що 36% сімей вважають розлучення з сім'єю значним ризиком | true | null | |
reliefweb:000162 | 10 | 0 | Міжсекторальна оцінка потреб | 378 | 406 | descriptive | named | survey | ⟦Міжсекторальна оцінка потреб⟧ 2023 р. виявила, що 2% усіх сімей в Україні повідомили | true | null | |
reliefweb:000162 | 15 | 5 | Опитування загального населення | 650 | 681 | descriptive | descriptive | survey | ⟦Опитування загального населення⟧, раунд 14 – жовтень 2023 р. | true | null | |
reliefweb:000162 | 18 | 6 | УКГС ООН | 139 | 147 | named | named | other | За даними ⟦УКГС ООН⟧, станом на червень 2024 р. 18,625 людей у Донецькій області та 17,160 у Харківській області | false | null | |
reliefweb:000162 | 19 | 0 | демографічні дані | 659 | 676 | descriptive | vague | other | Вдосконалити наявні ⟦демографічні дані⟧ | true | null | |
reliefweb:000162 | 19 | 1 | демографічні дані | 40 | 57 | descriptive | vague | other | Вдосконалити наявні ⟦демографічні дані⟧ | true | null | |
reliefweb:000162 | 19 | 4 | фактичних даних | 222 | 237 | vague | vague | other | надання гуманітарної допомоги на основі ⟦фактичних даних⟧[1] | true | null | |
reliefweb:000162 | 1 | 4 | оперативних даних УВКБ ООН | 607 | 633 | named | named | system | Портал ⟦оперативних даних УВКБ ООН⟧[2] - Ситуація з біженцями в Україні | true | null | |
reliefweb:000162 | 2 | 3 | даними урядових джерел | 453 | 475 | descriptive | descriptive | administrative | За ⟦даними урядових джерел⟧[3], з 2014 по 2022 рік | true | null | |
reliefweb:000162 | 8 | 3 | переліку МТП | 670 | 682 | descriptive | descriptive | administrative | веде моніторинг ⟦переліку МТП⟧[4], приміщення яких обладнані інфраструктурою | true | null | |
reliefweb:000162 | 9 | 4 | Репрезентативне опитування | 149 | 175 | descriptive | descriptive | survey | ⟦Репрезентативне опитування⟧[5] показало, що 35% українських респондентів | true | null | |
reliefweb:000163 | 18 | 0 | 2004 survey | 595 | 606 | descriptive | descriptive | survey | in a ⟦2004 survey⟧[6] ninety six per cent of Kenyan interviewees | true | null | |
reliefweb:000164 | 12 | 0 | 2015 Living Conditions and Monitoring Survey | 1,396 | 1,440 | named | named | survey | the ⟦2015 Living Conditions and Monitoring Survey⟧[7] (LCMS 2015) results show national headcount poverty rate | true | null | |
reliefweb:000164 | 17 | 0 | representative refugee household survey | 861 | 900 | descriptive | descriptive | survey | quantitative methods based on a ⟦representative refugee household survey⟧[8] of 487 refugee households | true | null | |
reliefweb:000164 | 18 | 0 | household survey | 627 | 643 | descriptive | descriptive | survey | Respondents for the ⟦household survey⟧[9] were drawn from the largest nationalities | true | null | |
reliefweb:000164 | 18 | 1 | UNHCR provided database of refugees distributions | 310 | 359 | descriptive | descriptive | database | We relied on the latest ⟦UNHCR provided database of refugees distributions⟧[10] in the three study sites | true | null | |
reliefweb:000164 | 19 | 0 | household surveys | 649 | 666 | descriptive | descriptive | survey | had the study relied on the ⟦household surveys⟧[11] only | true | null | |
reliefweb:000164 | 19 | 0 | Lusaka urban survey | 738 | 757 | named | named | survey | triangulation approach helped maintain the rigour of the ⟦Lusaka urban survey⟧[12] | true | null | |
reliefweb:000164 | 28 | 0 | survey findings | 807 | 822 | descriptive | descriptive | survey | According to our ⟦survey findings⟧[13], on average across these two rural settlements | true | null | |
reliefweb:000164 | 2 | 0 | Living Conditions Monitoring Survey | 645 | 680 | named | named | survey | |LCMS|=⟦Living Conditions Monitoring Survey⟧[14] | true | null | |
reliefweb:000164 | 33 | 0 | refugee survey | 402 | 416 | descriptive | descriptive | survey | 18.2 percent of the ⟦refugee survey⟧[15] respondents in Meheba and Mayukwayukwa | true | null | |
reliefweb:000164 | 36 | 1 | empirical data from the survey | 1,349 | 1,379 | descriptive | vague | survey | ⟦empirical data from the survey⟧[16] (figure 5.2) shows that a higher proportion of urban based refugees | true | null | |
reliefweb:000164 | 39 | 0 | empirical data | 254 | 268 | vague | vague | other | The ⟦empirical data⟧[17] on average monthly total household incomes from all livelihood activities shows | true | null | |
reliefweb:000164 | 45 | 0 | 2015 Living Conditions and Monitoring Survey | 309 | 353 | named | named | survey | The Central Statistical Office (CSO) ⟦2015 Living Conditions and Monitoring Survey⟧[18] (LCMS 2015) found | true | null | |
reliefweb:000164 | 45 | 0 | LCMS 2010 | 453 | 462 | named | named | survey | The ⟦LCMS 2010⟧[19] estimated 6.8% and 0.4% of urban and rural households | true | null | |
reliefweb:000164 | 46 | 0 | ITU figures | 237 | 248 | named | named | indicator | ⟦ITU figures⟧[20] show that Internet penetration rates for developed countries is estimated at 81% | true | null | |
reliefweb:000164 | 46 | 0 | Internet World Stats | 399 | 419 | named | named | database | the ⟦Internet World Stats⟧[21] estimated, for 2016, Internet penetration rate for Zambia | true | null | |
reliefweb:000164 | 46 | 1 | Internet World Stats | 260 | 280 | named | named | database | when compared to ITU and ⟦Internet World Stats⟧[22] figures | true | null | |
reliefweb:000164 | 4 | 0 | household survey | 1,597 | 1,613 | descriptive | descriptive | other | A mixed methods research approach was adopted that combined quantitative (⟦household survey⟧[23]), qualitative | false | null | |
reliefweb:000164 | 4 | 1 | survey in Meheba settlement | 679 | 706 | descriptive | descriptive | survey | the Rwandese community refused to participate in the ⟦survey in Meheba settlement⟧[24] | true | null | |
reliefweb:000164 | 50 | 1 | empirical data | 950 | 964 | vague | vague | other | Our ⟦empirical data⟧[25] shows (fig 6.1) that refugees in Lusaka have better energy access rates | true | null | |
reliefweb:000164 | 50 | 2 | LCMS 2015 | 275 | 284 | named | named | survey | the charcoal rates are closer to ⟦LCMS 2015⟧[26] urban charcoal use | true | null | |
reliefweb:000164 | 54 | 1 | UNHCR data | 1,151 | 1,161 | named | named | administrative | According to ⟦UNHCR data⟧[27], in 2015 and the early part of 2016 | true | null | |
reliefweb:000164 | 6 | 0 | data on the top livelihood activities | 1,069 | 1,106 | descriptive | vague | other | We present ⟦data on the top livelihood activities⟧[28] by site and refugee nationality | true | null | |
reliefweb:000164 | 8 | 2 | Mid-year trends 2015 | 174 | 194 | named | named | other | UNHCR (2015) ⟦Mid-year trends 2015⟧[29]. Available at www.unhcr.org/56701b969.html | false | null | |
reliefweb:000165 | 1 | 0 | REACH assessment | 452 | 468 | named | named | other | according to ⟦REACH assessment⟧[1] | true | null | |
reliefweb:000165 | 1 | 0 | Eviction data | 1,568 | 1,581 | descriptive | descriptive | other | ⟦Eviction data⟧[2] gathered by the HLP Area of Responsibility (AoR) since 2015 | true | null | |
reliefweb:000165 | 5 | 0 | HLP records | 663 | 674 | descriptive | descriptive | administrative | The confiscation or destruction of ⟦HLP records⟧[3]—including property titles, local cadastres, and registries— | true | null | |
reliefweb:000165 | 6 | 1 | national digital registry | 1,150 | 1,175 | descriptive | descriptive | system | the expansion of the ⟦national digital registry⟧[4] | true | null | |
reliefweb:000166 | 5 | 0 | birth registration rate | 1,660 | 1,683 | descriptive | descriptive | other | ⟦birth registration rate⟧[5] reached 30% in 2019 | false | null | |
reliefweb:000166 | 5 | 1 | perception survey | 1,877 | 1,894 | descriptive | descriptive | survey | monthly tension inputs including WhatsApp groups, a ⟦perception survey⟧[6], qualitative studies | true | null | |
reliefweb:000166 | 5 | 1 | WhatsApp surveying of hotspots | 1,942 | 1,972 | descriptive | descriptive | survey | social media monitoring, ⟦WhatsApp surveying of hotspots⟧[7], conflict incident mapping | true | null | |
reliefweb:000166 | 5 | 2 | perception survey | 171 | 188 | descriptive | descriptive | survey | monthly tension inputs including WhatsApp groups, a ⟦perception survey⟧[8], qualitative studies | true | null | |
reliefweb:000166 | 5 | 2 | perception survey | 488 | 505 | descriptive | descriptive | survey | An online dashboard is available to outline findings of the ⟦perception survey⟧[9] publicly | true | null | |
reliefweb:000167 | 0 | 0 | 480 Protection Monitoring interviews | 940 | 976 | descriptive | descriptive | survey | The analysis is based on ⟦480 Protection Monitoring interviews⟧[10] and findings from focus group discussions | true | null | |
reliefweb:000167 | 2 | 0 | Protection Monitoring | 1,010 | 1,031 | named | named | other | Findings from ⟦Protection Monitoring⟧[11] for this quarter confirm that 38% of those having to leave their accommodation | true | null | |
reliefweb:000167 | 3 | 0 | protection monitoring | 1,637 | 1,658 | descriptive | descriptive | other | From ⟦protection monitoring⟧[12], 24% of respondents reported working excessively long hours | true | null | |
reliefweb:000167 | 4 | 0 | Protection monitoring | 33 | 54 | descriptive | descriptive | other | ⟦Protection monitoring⟧[13] also indicated an increase in the number of applicants for governmentprovided social protection benefits | true | null | |
reliefweb:000168 | 16 | 1 | aggregated demographic data on refugee populations | 270 | 320 | descriptive | descriptive | other | providing ⟦aggregated demographic data on refugee populations⟧[14] to the Independent High Electoral Commission Offices (IHEC) | true | null | |
reliefweb:000168 | 26 | 0 | electoral registers | 2,197 | 2,216 | descriptive | descriptive | administrative | a desire to manipulate popular representation at the ballot box may lead to organized expulsions with the deliberate aim of skewing ⟦electoral registers⟧[15] | true | null | |
reliefweb:000168 | 26 | 1 | 2008 Kenyan election results | 1 | 29 | named | descriptive | other | the massive internal displacement that followed the disputed ⟦2008 Kenyan election results⟧[16] | true | null | |
reliefweb:000168 | 29 | 1 | 1991 census | 1,002 | 1,013 | named | descriptive | census | Eligibility was determined on the basis of inclusion in the pre-war ⟦1991 census⟧[17] | true | null | |
reliefweb:000168 | 31 | 1 | census and registration information | 577 | 612 | descriptive | descriptive | other | where accurate ⟦census and registration information⟧[18] may be very difficult to correlate at a local level | true | null | |
reliefweb:000168 | 36 | 1 | demographic data | 1,649 | 1,665 | vague | vague | other | UNHCR is likely to already hold ⟦demographic data⟧[19] | true | null | |
reliefweb:000168 | 37 | 1 | bureaucratic records | 576 | 596 | descriptive | descriptive | administrative | especially if ⟦bureaucratic records⟧[20] have been deliberately destroyed | true | null | |
reliefweb:000168 | 38 | 0 | voter registry | 1,042 | 1,056 | descriptive | descriptive | administrative | Iranian Amayesh registration cards were used as the basis for developing a ⟦voter registry⟧[21] | true | null | |
reliefweb:000168 | 39 | 0 | list data | 1,610 | 1,619 | descriptive | vague | other | because the ⟦list data⟧[22] was available to political party representatives and other registered voters | true | null | |
reliefweb:000168 | 39 | 1 | voter registration lists | 730 | 754 | descriptive | descriptive | administrative | fears that the ⟦voter registration lists⟧[23] would be used to enforce Iraqi returns | true | null | |
reliefweb:000168 | 40 | 0 | electoral roll | 298 | 312 | descriptive | descriptive | administrative | the use of personal data provided through the ⟦electoral roll⟧[24] by third parties | true | null | |
reliefweb:000168 | 40 | 0 | voter register | 1,187 | 1,201 | descriptive | descriptive | administrative | the personal information contained on the ⟦voter register⟧[25] | true | null | |
reliefweb:000168 | 60 | 0 | demographic data | 1,204 | 1,220 | vague | vague | other | offer its assistance to IOM or any other organization involved in establishing an OCV programme with regards to ⟦demographic data⟧[26] | true | null | |
reliefweb:000168 | 60 | 1 | UNHCR registration data | 400 | 423 | named | named | administrative | whether existing ⟦UNHCR registration data⟧[1] or ration cards could be used in some settings to establish identity | true | null | |
reliefweb:000169 | 1 | 4 | ЄІБД | 225 | 229 | named | named | system | створення Єдиної інформаційної бази даних (далі – ⟦ЄІБД⟧[2]) про ВПО | true | null | |
reliefweb:000169 | 3 | 2 | базами даних | 606 | 618 | vague | descriptive | database | рекомендацією користуватися ⟦базами даних⟧[3] та програмним забезпеченням попередньої версії | true | null | |
reliefweb:000169 | 5 | 3 | ЄІБД | 6 | 10 | named | named | system | відібраних не траплялися технічні помилки у програмі (в тому числі через відсутність досвіду користування ⟦ЄІБД⟧[4]) | true | null | |
reliefweb:000169 | 8 | 0 | ЄІБД | 604 | 608 | named | named | system | використовуючи ⟦ЄІБД⟧[5] та базу попередньої версії паралельно | true | null | |
reliefweb:000170 | 10 | 0 | UNHCR protection monitoring | 389 | 416 | named | named | other | baseline data for reintegration programming and community selection will be informed by ⟦UNHCR protection monitoring⟧[6] | true | null | |
reliefweb:000170 | 10 | 0 | IOM’s DTM | 421 | 430 | named | named | system | baseline data for reintegration programming and community selection will be informed by UNHCR protection monitoring and ⟦IOM’s DTM⟧[7] | true | null | |
reliefweb:000170 | 12 | 0 | UNHCR Afghanistan data portal | 1,899 | 1,928 | named | named | system | 1. ⟦UNHCR Afghanistan data portal⟧[8] | true | null | |
reliefweb:000170 | 12 | 0 | UNHCR Afghanistan data | 1,962 | 1,984 | named | named | database | Humanitarian Data Exchange: ⟦UNHCR Afghanistan data⟧[9] | true | null | |
reliefweb:000170 | 12 | 1 | IOM Afghanistan Displacement Tracking Matrix Website | 2 | 54 | named | named | system | 3. ⟦IOM Afghanistan Displacement Tracking Matrix Website⟧[10] | true | null | |
reliefweb:000170 | 12 | 1 | UNHCR Afghanistan data portal | 178 | 207 | named | named | system | 1. ⟦UNHCR Afghanistan data portal⟧[11] | true | null | |
reliefweb:000170 | 12 | 1 | UNHCR Global Focus – Afghanistan | 269 | 301 | named | named | report | 3. ⟦UNHCR Global Focus – Afghanistan⟧[12] | true | null | |
reliefweb:000170 | 12 | 1 | UNHCR Population Statistics Database | 307 | 343 | named | named | database | 4. ⟦UNHCR Population Statistics Database⟧[13] | true | null | |
reliefweb:000170 | 3 | 0 | headcount exercise in 2017 | 1,073 | 1,099 | descriptive | descriptive | census | including 850,000 persons who participated in a ⟦headcount exercise in 2017⟧[14] | true | null | |
reliefweb:000170 | 4 | 0 | data on return trends | 1,147 | 1,168 | descriptive | vague | other | to collect ⟦data on return trends⟧[15], including reasons for return and protection risks | true | null | |
reliefweb:000170 | 5 | 0 | 19,271 surveys | 716 | 730 | descriptive | vague | survey | Based on ⟦19,271 surveys⟧[16], the top 3 destination provinces for returnees from Pakistan were Kandahar | true | null | |
reliefweb:000170 | 5 | 1 | Return Trends to Afghanistan 2014-2018 | 534 | 572 | named | named | report | ⟦Return Trends to Afghanistan 2014-2018⟧[17] | true | null |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.