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:000123 | 40 | 0 | PDO Indicators | 905 | 919 | named | named | other | **PDO Indicators**⟧[5]**<br>**Datasource** | false | null | |
refugee_pads:000123 | 40 | 1 | Administrative data | 462 | 481 | descriptive | descriptive | administrative | ⟦Administrative data⟧[6]<br>collected through<br>MoFA's passport issuing<br>system. | true | null | |
refugee_pads:000123 | 41 | 0 | CDC profiles and MCCG | 490 | 511 | named | descriptive | other | ⟦CDC profiles and MCCG⟧[7]<br>progress reports | true | null | |
refugee_pads:000123 | 42 | 1 | Administrative data | 344 | 363 | descriptive | descriptive | administrative | ⟦Administrative data⟧[8] | true | null | |
refugee_pads:000123 | 43 | 1 | Administrative data | 44 | 63 | descriptive | descriptive | administrative | ⟦Administrative data⟧[9]<br>collected through<br>MoFA's passport<br>processing system. | true | null | |
refugee_pads:000123 | 44 | 0 | attendance records | 730 | 748 | descriptive | descriptive | administrative | Administrative data,<br>⟦attendance records⟧[10],<br>and campaign<br>implementation<br>records. | true | null | |
refugee_pads:000123 | 44 | 1 | Administrative data | 376 | 395 | descriptive | descriptive | administrative | ⟦Administrative data⟧[11],<br>⟦attendance records⟧[12],<br>and campaign<br>implementation<br>records. | true | null | |
refugee_pads:000123 | 44 | 1 | attendance records | 400 | 418 | descriptive | descriptive | administrative | ⟦attendance records⟧[12],<br>and campaign<br>implementation<br>records. | true | null | |
refugee_pads:000123 | 45 | 0 | CDC profiles | 558 | 570 | descriptive | descriptive | administrative | ⟦CDC profiles⟧[13]<br>Minutes of<br>meetings | true | null | |
refugee_pads:000123 | 49 | 1 | CDC profiles | 274 | 286 | named | descriptive | administrative | ⟦CDC profiles⟧[14], GA/BGA<br>profiles, quarterly<br>progress reports | true | null | |
refugee_pads:000123 | 52 | 0 | KMDP MIS | 1,023 | 1,031 | named | named | system | Project MIS<br>(⟦KMDP MIS⟧[15]) | true | null | |
refugee_pads:000123 | 55 | 1 | administrative data | 245 | 264 | descriptive | descriptive | administrative | profiles, nahia level<br>⟦administrative data⟧[16],<br>quarterly progress<br>reports | true | null | |
refugee_pads:000123 | 56 | 0 | KMDP MIS | 858 | 866 | named | named | system | Project MIS<br>(⟦KMDP MIS⟧[17]) | true | null | |
refugee_pads:000123 | 56 | 1 | administrative data | 297 | 316 | descriptive | descriptive | administrative | ⟦administrative data⟧[18],<br>quarterly progress<br>reports, evaluation | true | null | |
refugee_pads:000123 | 57 | 0 | administrative data | 1,073 | 1,092 | descriptive | descriptive | administrative | nahia level<br>⟦administrative data⟧[19],<br>quarterly progress<br>reports, evaluation | true | null | |
refugee_pads:000123 | 57 | 1 | administrative data | 28 | 47 | descriptive | descriptive | administrative | profiles, nahia level<br>⟦administrative data⟧[20],<br>quarterly progress<br>reports, evaluation | true | null | |
refugee_pads:000123 | 61 | 0 | Administrative data | 1,188 | 1,207 | descriptive | descriptive | administrative | ⟦Administrative data⟧[21] on<br>information inquiries<br>received and<br>responded to by the<br>IAs. | true | null | |
refugee_pads:000123 | 61 | 1 | Administrative data | 31 | 50 | descriptive | descriptive | administrative | ⟦Administrative data⟧[22] on<br>information inquiries<br>received and<br>responded to by the<br>IAs. | true | null | |
refugee_pads:000123 | 66 | 0 | gender disaggregated data | 94 | 119 | descriptive | vague | other | to gather ⟦gender disaggregated data⟧[23] that can form the basis of further interventions | true | null | |
refugee_pads:000123 | 66 | 1 | Gender disaggregated data | 1,725 | 1,750 | descriptive | vague | other | ⟦Gender disaggregated data⟧[24] on the number of passport applications and issuances can also be analyzed | true | null | |
refugee_pads:000123 | 66 | 2 | Gender disaggregated data | 26 | 51 | descriptive | vague | other | ⟦Gender disaggregated data⟧[25] on the number of passport applications and issuances can also be analyzed | true | null | |
refugee_pads:000123 | 67 | 0 | Doing Business in Afghanistan 2017 | 1,387 | 1,421 | named | named | report | Source for Baseline: Sub‐National ⟦Doing Business in Afghanistan 2017⟧[26] | true | null | |
refugee_pads:000123 | 67 | 1 | Sub‐National Doing Business in Afghanistan 2017 | 66 | 113 | named | named | report | Source for Baseline: ⟦Sub‐National Doing Business in Afghanistan 2017⟧[27] | true | null | |
refugee_pads:000123 | 71 | 0 | geo‐ referenced data | 1,714 | 1,734 | descriptive | descriptive | geospatial | which uses ⟦geo‐ referenced data⟧[28] collected by mobile devices | true | null | |
refugee_pads:000123 | 77 | 0 | database for processing passport applications | 1,737 | 1,782 | descriptive | descriptive | database | MoFA will be using the ⟦database for processing passport applications⟧[29] to track data on related indicators. | true | null | |
refugee_pads:000123 | 77 | 1 | database for processing passport applications | 21 | 66 | descriptive | descriptive | database | MoFA will be using the ⟦database for processing passport applications⟧[30] to track data on related indicators. | true | null | |
refugee_pads:000123 | 80 | 0 | AFMIS records | 1,247 | 1,260 | named | named | administrative | The financial statements of the project audit will be prepared by MoF based on ⟦AFMIS records⟧[1]. | true | null | |
refugee_pads:000123 | 84 | 2 | UNDB online | 422 | 433 | named | named | database | publishing contract award information in ⟦UNDB online⟧[2], NPA’s website, and agencies’ websites | true | null | |
refugee_pads:000123 | 86 | 2 | NSIA estimates for 2017‐18 | 666 | 692 | named | named | estimates | _Source: ⟦NSIA estimates for 2017‐18⟧[3]; IOM DTM | true | null | |
refugee_pads:000123 | 86 | 2 | census data | 771 | 782 | descriptive | descriptive | census | Afghanistan is among a handful of countries without any recent ⟦census data⟧[4]. | true | null | |
refugee_pads:000123 | 86 | 2 | national population census of Afghanistan | 803 | 844 | descriptive | named | census | The first and only ⟦national population census of Afghanistan⟧[5] was conducted in 1979 | true | null | |
refugee_pads:000123 | 86 | 2 | pre‐census household listing | 1,015 | 1,043 | descriptive | descriptive | census | household estimates from a ⟦pre-census household listing⟧[6] were used | true | null | |
refugee_pads:000123 | 86 | 2 | pre‐ census household listing | 1,127 | 1,156 | descriptive | descriptive | census | this ⟦pre‐ census household listing⟧[7] and the census count | true | null | |
refugee_pads:000123 | 86 | 2 | 2003‐05 household listing exercise | 1,269 | 1,303 | descriptive | descriptive | census | based on the ⟦2003‐05 household listing exercise⟧[8] in 29 provinces | true | null | |
refugee_pads:000123 | 86 | 3 | Socio‐Demographic and Economic Surveys | 360 | 398 | named | named | survey | the ⟦Socio‐Demographic and Economic Surveys⟧[9] (SDES) to fill this critical data gap | true | null | |
refugee_pads:000123 | 86 | 3 | SDES | 614 | 618 | named | named | survey | only 13 provinces could be covered by the ⟦SDES⟧[10] | true | null | |
refugee_pads:000123 | 86 | 3 | 2003‐05 household listing | 739 | 764 | descriptive | descriptive | census | population estimates continue to be based on the ⟦2003‐05 household listing⟧[11] | true | null | |
refugee_pads:000123 | 86 | 3 | 1979 population census | 820 | 842 | named | descriptive | census | solely on the ⟦1979 population census⟧[12] | true | null | |
refugee_pads:000123 | 86 | 3 | International Database | 1,014 | 1,036 | named | named | database | US Census Bureau, ⟦International Database⟧[13] | true | null | |
refugee_pads:000123 | 86 | 3 | SDES | 1,192 | 1,196 | named | named | survey | Daykundi population estimates now based on ⟦SDES⟧[14]. | true | null | |
refugee_pads:000123 | 88 | 1 | phone survey of 3,575 Afghan returnees | 1,349 | 1,387 | descriptive | descriptive | survey | Data from a ⟦phone survey of 3,575 Afghan returnees⟧[15] from Pakistan showed that | true | null | |
refugee_pads:000123 | 89 | 0 | surveys | 1,464 | 1,471 | vague | vague | survey | The views of returnees were obtained through direct consultation with Afghan repatriation _shuras_ , the Embassy of Afghanistan in Pakistan, and ⟦surveys⟧[16]. | true | null | |
refugee_pads:000123 | 89 | 1 | Afghanistan Living Conditions Survey | 1,284 | 1,320 | named | named | survey | particularly the ⟦Afghanistan Living Conditions Survey⟧[17] (ALCS) | true | null | |
refugee_pads:000123 | 89 | 1 | Pakistan Population Profiling, Verification and Response | 1,336 | 1,392 | named | named | survey | the ⟦Pakistan Population Profiling, Verification and Response⟧[18] (PPVR) Survey | true | null | |
refugee_pads:000123 | 91 | 1 | Afghanistan Risk Profile | 1,078 | 1,102 | named | named | report | The risk assessment is made available through the published ⟦Afghanistan Risk Profile⟧[19] | true | null | |
refugee_pads:000123 | 91 | 2 | Global Climate Risk Index | 493 | 518 | named | named | other | > 46 Germanwatch (2018). ⟦Global Climate Risk Index⟧[20]. | false | null | |
refugee_pads:000123 | 91 | 2 | Climate Change Risk Atlas | 546 | 571 | named | named | other | > 47 Maplecroft (2011). ⟦Climate Change Risk Atlas⟧[21]. | false | null | |
refugee_pads:000123 | 92 | 0 | Afghanistan disaster risk platform | 984 | 1,018 | named | named | system | The available ⟦Afghanistan disaster risk platform⟧[22] (** **_www.disasterrisk.af_ ) will be used to screen selected infrastructure projects. | true | null | |
refugee_pads:000124 | 13 | 0 | DHS | 314 | 317 | named | named | survey | With a Total Fertility Rate (TFR) of 6.4 Chad is among the fastest growing countries in the world (⟦DHS⟧[23] 2014/15). | true | null | |
refugee_pads:000124 | 13 | 2 | Refugee Protection Assessment for Chad | 742 | 780 | named | named | other | > 5 United Nations High Commissioner for Refugees (UNHCR) ⟦Refugee Protection Assessment for Chad⟧[24], January 2020. | false | null | |
refugee_pads:000124 | 14 | 0 | SARA survey | 541 | 552 | named | named | survey | according to the most recent ⟦SARA survey⟧[25], one in three health facilities had access to electricity | true | null | |
refugee_pads:000124 | 14 | 0 | DHS 2014/2015 | 1,541 | 1,554 | named | named | survey | According to the ⟦DHS 2014/2015⟧[26], only 25 percent of women attended at least four antenatal care visits | true | null | |
refugee_pads:000124 | 24 | 0 | REDISSE IV’s indicators | 634 | 657 | named | named | other | by reports on ⟦REDISSE IV’s indicators⟧[27]. | false | null | |
refugee_pads:000124 | 30 | 0 | databases available in country and externally | 276 | 321 | descriptive | descriptive | database | Ex ante_due diligence of firms being selected will be attempted using ⟦databases available in country and externally⟧[28]. | true | null | |
refugee_pads:000124 | 36 | 0 | MOPH report | 569 | 580 | named | named | report | Datasource: ⟦MOPH report⟧ | true | null | |
refugee_pads:000124 | 36 | 0 | routine data | 581 | 593 | vague | vague | other | ⟦routine data⟧ | true | null | |
refugee_pads:000124 | 36 | 0 | routine data | 988 | 1,000 | vague | vague | other | ⟦routine data⟧ | true | null | |
refugee_pads:000124 | 37 | 0 | routine data | 515 | 527 | vague | vague | other | ⟦routine data⟧ | true | null | |
refugee_pads:000124 | 37 | 0 | routine data | 765 | 777 | vague | vague | other | ⟦routine data⟧ | true | null | |
refugee_pads:000124 | 37 | 1 | routine data | 223 | 235 | vague | vague | other | ⟦routine data⟧ | true | null | |
refugee_pads:000124 | 37 | 1 | routine data | 460 | 472 | vague | vague | other | ⟦routine data⟧ | true | null | |
refugee_pads:000124 | 5 | 0 | MPA Financing Data | 1,300 | 1,318 | named | named | other | **⟦MPA Financing Data⟧ (US$, Millions) Financing** | false | null | |
refugee_pads:000124 | 6 | 1 | PROJECT FINANCING DATA | 54 | 76 | descriptive | named | other | ## **⟦PROJECT FINANCING DATA⟧ (US$, Millions)** | false | null | |
refugee_pads:000125 | 13 | 0 | 2018 Needs Assessment | 446 | 467 | named | named | report | identified under the FRiT Municipal Infrastructure Window in the ⟦2018 Needs Assessment⟧ prepared by the EU | true | null | |
refugee_pads:000125 | 14 | 0 | Municipal Water Statistics | 1,869 | 1,895 | named | named | report | According to ⟦Municipal Water Statistics⟧ prepared by TURKSTAT in 2018 | true | null | |
refugee_pads:000125 | 14 | 1 | Municipal Water Statistics | 218 | 244 | named | named | report | According to ⟦Municipal Water Statistics⟧ prepared by TURKSTAT in 2018 | true | null | |
refugee_pads:000125 | 14 | 1 | TURKSTAT Municipal Wastewater Statistics | 1,346 | 1,386 | named | named | report | According to ⟦TURKSTAT Municipal Wastewater Statistics⟧ for 2016 | true | null | |
refugee_pads:000125 | 15 | 0 | 2016 National Waste Management Plan and Action Plan | 1,734 | 1,785 | named | named | report | According to the ⟦2016 National Waste Management Plan and Action Plan⟧ (NWMP&AP) data | true | null | |
refugee_pads:000125 | 16 | 1 | 2018 EU Needs Assessment | 383 | 407 | named | named | report | identified through the ⟦2018 EU Needs Assessment⟧ | true | null | |
refugee_pads:000125 | 17 | 0 | Systematic Country Diagnostic | 664 | 693 | named | named | report | findings of the ⟦Systematic Country Diagnostic⟧ (finalized in 2016) | true | null | |
refugee_pads:000125 | 18 | 1 | EU Needs Assessment | 1,249 | 1,268 | named | named | report | Eligible municipalities were identified in the ⟦EU Needs Assessment⟧ | true | null | |
refugee_pads:000125 | 28 | 0 | data on results indicators | 553 | 579 | descriptive | descriptive | other | will collect ⟦data on results indicators⟧ from the participating municipalities/utilities | true | null | |
refugee_pads:000125 | 31 | 0 | trend data | 1,108 | 1,118 | vague | vague | other | based on 2018 and past three years’ ⟦trend data⟧ | true | null | |
refugee_pads:000125 | 36 | 1 | Citizen Report Cards | 758 | 778 | named | named | survey | the project will utilize ⟦Citizen Report Cards⟧ at the beginning and end-term to assess | false | null | |
refugee_pads:000125 | 37 | 0 | Global Gender Gap Report | 331 | 355 | named | named | report | Turkey ranks 130th out of 149 countries in the World Economic Forum’s ⟦Global Gender Gap Report⟧ | true | null | |
refugee_pads:000125 | 37 | 0 | UN Needs Assessment of Syrian women refugees | 1,595 | 1,639 | named | named | report | A ⟦UN Needs Assessment of Syrian women refugees⟧ carried out in 2018 found | true | null | |
refugee_pads:000125 | 37 | 1 | UN Women’s Needs Assessment | 1,057 | 1,084 | named | named | report | From the ⟦UN Women’s Needs Assessment⟧, Syrian women are unaware | true | null | |
refugee_pads:000125 | 44 | 0 | SKIs | 881 | 885 | named | named | other | utilities (SKIs) | false | null | |
refugee_pads:000125 | 47 | 0 | SKIs | 343 | 347 | named | named | other | respective ⟦SKIs⟧ | false | null | |
refugee_pads:000125 | 59 | 0 | EU Needs Assessment | 587 | 606 | named | named | report | identified in the ⟦EU Needs Assessment⟧ | true | null | |
refugee_pads:000125 | 62 | 2 | address-based census45 | 1,153 | 1,175 | descriptive | descriptive | census | As per the ⟦address-based census45⟧ for 2018 | true | null | |
refugee_pads:000125 | 63 | 2 | PID for Adana | 907 | 920 | named | named | other | According to ⟦PID for Adana⟧ | false | null | |
refugee_pads:000125 | 64 | 2 | address-based census48 | 413 | 435 | descriptive | descriptive | census | As per the ⟦address-based census48⟧ for 2018 | true | null | |
refugee_pads:000125 | 64 | 2 | PID for Adana | 474 | 487 | named | named | other | Calculations based on ⟦PID for Adana⟧ and projected estimates for the year 2020 | false | null | |
refugee_pads:000125 | 67 | 2 | PID for Kayseri | 466 | 481 | named | named | other | According to ⟦PID for Kayseri⟧[1]. | true | null | |
refugee_pads:000125 | 67 | 2 | address-based census for 2018 | 501 | 530 | descriptive | descriptive | census | As per the ⟦address-based census for 2018⟧[2] | true | null | |
refugee_pads:000125 | 67 | 2 | PID for Konya | 560 | 573 | named | named | other | Calculations based on ⟦PID for Konya⟧[3] and projected estimates for the year 2020. | true | null | |
refugee_pads:000125 | 68 | 2 | PID for Konya | 533 | 546 | named | named | other | Calculations based on ⟦PID for Konya⟧[4] and projected estimates for the year 2020. | true | null | |
refugee_pads:000125 | 68 | 2 | PID for Osmaniye | 828 | 844 | named | named | other | According to ⟦PID for Osmaniye⟧[5] | true | null | |
refugee_pads:000125 | 69 | 0 | water utility records | 2,025 | 2,046 | descriptive | descriptive | administrative | ⟦water utility records⟧[6] | true | null | |
refugee_pads:000125 | 69 | 1 | water utility records | 285 | 306 | descriptive | descriptive | administrative | ⟦water utility records⟧[7] show about 200 calls per month | true | null | |
refugee_pads:000125 | 69 | 2 | PID for Adana | 143 | 156 | named | named | other | Calculations based on ⟦PID for Adana⟧[8] and projected estimates for the year 2020. | true | null | |
refugee_pads:000125 | 6 | 0 | PROJECT FINANCING DATA | 514 | 536 | named | descriptive | other | ⟦PROJECT FINANCING DATA⟧[9] (US$, Millions) | false | null | |
refugee_pads:000125 | 6 | 1 | INSTITUTIONAL DATA | 329 | 347 | descriptive | descriptive | other | ⟦INSTITUTIONAL DATA⟧[10] | false | null | |
refugee_pads:000125 | 73 | 0 | WTP data | 876 | 884 | vague | vague | other | in the absence of ⟦WTP data⟧[11] | true | null | |
refugee_pads:000125 | 73 | 0 | TURKSTAT data | 1,499 | 1,512 | named | named | other | According to the ⟦TURKSTAT data⟧[12], Marginal Propensity to Save in January 2019 in Turkey is 19.40 percent | true | null | |
refugee_pads:000125 | 76 | 0 | data on the waste production | 323 | 351 | descriptive | descriptive | other | Using ⟦data on the waste production⟧[13], it was found that the GHG emission reduction was positive | true | null | |
refugee_pads:000125 | 87 | 0 | ILBANK NCS 3 | 827 | 839 | named | named | other | ⟦ILBANK NCS 3⟧[14] | false | null | |
refugee_pads:000125 | 91 | 0 | STEP complaint module | 652 | 673 | named | named | other | the complaints will be recorded in the ⟦STEP complaint module⟧[15] by PMU | false | null | |
refugee_pads:000125 | 93 | 2 | background data | 584 | 599 | vague | vague | other | in which accurate ⟦background data⟧[16] and information is needed | true | null |
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