diff --git "a/annotation_data/unhcr_extractions/doc_9/raw/doc_9_direct_judged.jsonl" "b/annotation_data/unhcr_extractions/doc_9/raw/doc_9_direct_judged.jsonl" new file mode 100644--- /dev/null +++ "b/annotation_data/unhcr_extractions/doc_9/raw/doc_9_direct_judged.jsonl" @@ -0,0 +1,563 @@ +[ + { + "input_text": "## Lebanon Akkar Governorate Profile (June 2015)\n\n#### **GENERAL OVERVIEW**\n\nNorth Lebanon, which previously constituted one governorate with seven districts, was split into two governorates in\n2014: Tripoli and five surrounding districts (T5) maintained the denomination of North Governorate, while the district of\nAkkar became a governorate in its own right. Akkar Governorate, which covers 788 km2, is one of the most deprived rural\nregions in Lebanon and shares a 100km border with Syria. Akkar is divided into three main areas; Al-Sahel, Middle and\nHigher Dreib. There are 27 villages along the border with Syria, with two official crossing points: El Aarida and El Aaboudieh. Akkar is predominantly Sunni with Christian, Alawite and Shiite communities. The average altitude is at 700m above\nsea level while the peak of the Governorate is situated at 1,900m. Inter-agency coordination and sector coordination\nmeetings for Akkar take place in Qobbayat.\n\n\n\n\n#### **POPULATION OVERVIEW**\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n#### **SOCIO ECONOMIC OVERVIEW**\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n#### **CHANGES IN CONTEXT JANUARY TO JUNE**\n\nAkkar has suffered from the spill-over of the Syria conflict into Lebanon through cross border shelling which was at a\nheight during the fighting of \"Krak des Chevaliers\" in March 2014 and reduced economic/commercial activities. The main\npocket of insecurity in Akkar is in Wadi Khaled and the border areas. Wadi Khaled continues to be an area of concern for\nhumanitarian agencies and requires a specific security clearance to access the area manned by a checkpoint.\n\n\nFollowing a period of armed conflict in October 2014 between LAF and I/AOGs, and a spike in asymmetric attacks\ntargeting LAF, the security situation in Akkar became relatively stable due in large part to an increase in LAF/ISF\noperations. During this period the safety & security situation in Akkar was largely dominated by factors contributing to\nthe inhibiting context, as well as reports of adverse weather (roadblocks due to snow), and interpersonal disputes.\nAlthough SAF remains in control of the border area west of Homs (Syria), cross-border shooting and shelling from Syria\ncontinues to occur on a regular basis, particularly affecting the Minjez-Aboudiyeh highway. The perceived socioeconomic\nand security impact of the crisis has also contributed to a high rate of civil unrest which occasionally results in the\ndisruption of aid delivery.\n\n\n", + "datasets": [], + "document": { + "source": "https://reliefweb.int/attachments/b89d131c-2b21-3099-805f-245f1137ba38/10072015_AkkarGovernorateProfile.pdf", + "pages": [ + 0 + ] + } + }, + { + "input_text": "#### **HUMANITARIAN AND STABLIZATION TRENDS**\n\nDue to the drastic increase of population as a result of the Syria crisis, basic services and infrastructure are now considered\na common and priority need all over the governorate, this includes water, electricity, solid and water waste management\nand public roads. The lack of shelter has also been particularly affected by the crisis. Wadi Khaled continues to be an area\nparticularly deprived and has suffered from the breakdown of commercial trade with Syria.\n\n\nPoor infrastructure is causing an increase of tensions between host and refugee communities. A study conducted in one\nof the villages in Akkar before and after implementation of infrastructure work, indicated a positive change in the\nperception of people towards each other, the community leaders and public sector in addition to an increase of sense of\ntrust, safety and hope.\n\n\nPublic institutions including schools and public health centers need more support to provide better services to more\nbeneficiaries. Competition in the labor market remains a trend in Akkar governorate especially in the construction field\nbetween Lebanese and Syrians. This varies from a village to another as each has its own specifications.\n\n\nSocial interaction between communities has improved since December. However, some have reported more negative\nLebanese/Lebanese relations. 82 per cent of people in Akkar reported no violence in their area and 80 per cent reported\nthat resource strain leads to social tension in their community.\n\n\nA recent assessment revealed that both Lebanese and refugee communities identified employment as their top priority\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n|needs. This finding is consistent with data from VASyR
percentage of Syrian refugee households (49%) that did
Interventions with municipalities through the Mappin
municipalities.
Coordination among different actors is increasing and joi
of reduced resources.
MOST VULNERABLE LOCALITIES
There are 32 vulnerable localities in Akkar, five of whic
vulnerable. Eleven of the 32 localities are also considered
pressure where the ratio of refugees to deprived Lebanes
or more.
Informal Tented
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percentage of Syrian refugee ho~~useholds (49%) that did~~
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municipalities.
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of reduced resources.
**MOST VULNERABLE LOCALITIES**
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There are 32 vulnerable localities in Akkar, \ufb01ve of whic
vulnerable. Eleven of the 32 loca~~lities are also considered~~
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Mhamm|needs. This \ufb01nding is consistent~~ with data from VASyR~~
percentage of Syrian refugee ho~~useholds (49%) that did~~
Interventions with municipalities through the Mappin
municipalities.
Coordination among di\ufb00erent a~~ctors is increasing and joi~~
of reduced resources.
**MOST VULNERABLE LOCALITIES**
~~P~~
~~Informal Settlements~~
There are 32 vulnerable localities in Akkar, \ufb01ve of whic
vulnerable. Eleven of the 32 loca~~lities are also considered~~
pressure where the ratio of refu~~gees to deprived Lebanes~~
or more.
**Informal Tented**
**Settlements**
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Mhamm|||||||||||||||||||||||||||\n|needs. This \ufb01nding is consistent~~ with data from VASyR~~
percentage of Syrian refugee ho~~useholds (49%) that did~~
Interventions with municipalities through the Mappin
municipalities.
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of reduced resources.
**MOST VULNERABLE LOCALITIES**
~~P~~
~~Informal Settlements~~
There are 32 vulnerable localities in Akkar, \ufb01ve of whic
vulnerable. Eleven of the 32 loca~~lities are also considered~~
pressure where the ratio of refu~~gees to deprived Lebanes~~
or more.
**Informal Tented**
**Settlements**
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Mhamm|needs. This \ufb01nding is consistent~~ with data from VASyR~~
percentage of Syrian refugee ho~~useholds (49%) that did~~
Interventions with municipalities through the Mappin
municipalities.
Coordination among di\ufb00erent a~~ctors is increasing and joi~~
of reduced resources.
**MOST VULNERABLE LOCALITIES**
~~P~~
~~Informal Settlements~~
There are 32 vulnerable localities in Akkar, \ufb01ve of whic
vulnerable. Eleven of the 32 loca~~lities are also considered~~
pressure where the ratio of refu~~gees to deprived Lebanes~~
or more.
**Informal Tented**
**Settlements**
~~El Aa~~
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municipalities.
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of reduced resources.
**MOST VULNERABLE LOCALITIES**
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~~Informal Settlements~~
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vulnerable. Eleven of the 32 loca~~lities are also considered~~
pressure where the ratio of refu~~gees to deprived Lebanes~~
or more.
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~~El Aa~~
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Mhamm|needs. This \ufb01nding is consistent~~ with data from VASyR~~
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municipalities.
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of reduced resources.
**MOST VULNERABLE LOCALITIES**
~~P~~
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There are 32 vulnerable localities in Akkar, \ufb01ve of whic
vulnerable. Eleven of the 32 loca~~lities are also considered~~
pressure where the ratio of refu~~gees to deprived Lebanes~~
or more.
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percentage of Syrian refugee ho~~useholds (49%) that did~~
Interventions with municipalities through the Mappin
municipalities.
Coordination among di\ufb00erent a~~ctors is increasing and joi~~
of reduced resources.
**MOST VULNERABLE LOCALITIES**
~~P~~
~~Informal Settlements~~
There are 32 vulnerable localities in Akkar, \ufb01ve of whic
vulnerable. Eleven of the 32 loca~~lities are also considered~~
pressure where the ratio of refu~~gees to deprived Lebanes~~
or more.
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**Settlements**
~~El Aa~~
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Mhamm|needs. This \ufb01nding is consistent~~ with data from VASyR~~
percentage of Syrian refugee ho~~useholds (49%) that did~~
Interventions with municipalities through the Mappin
municipalities.
Coordination among di\ufb00erent a~~ctors is increasing and joi~~
of reduced resources.
**MOST VULNERABLE LOCALITIES**
~~P~~
~~Informal Settlements~~
There are 32 vulnerable localities in Akkar, \ufb01ve of whic
vulnerable. Eleven of the 32 loca~~lities are also considered~~
pressure where the ratio of refu~~gees to deprived Lebanes~~
or more.
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~~El Aa~~
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Mhamm|needs. This \ufb01nding is consistent~~ with data from VASyR~~
percentage of Syrian refugee ho~~useholds (49%) that did~~
Interventions with municipalities through the Mappin
municipalities.
Coordination among di\ufb00erent a~~ctors is increasing and joi~~
of reduced resources.
**MOST VULNERABLE LOCALITIES**
~~P~~
~~Informal Settlements~~
There are 32 vulnerable localities in Akkar, \ufb01ve of whic
vulnerable. Eleven of the 32 loca~~lities are also considered~~
pressure where the ratio of refu~~gees to deprived Lebanes~~
or more.
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**Settlements**
~~El Aa~~
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Mhamm|||||||||||||||||||||||||||\n|needs. This \ufb01nding is consistent~~ with data from VASyR~~
percentage of Syrian refugee ho~~useholds (49%) that did~~
Interventions with municipalities through the Mappin
municipalities.
Coordination among di\ufb00erent a~~ctors is increasing and joi~~
of reduced resources.
**MOST VULNERABLE LOCALITIES**
~~P~~
~~Informal Settlements~~
There are 32 vulnerable localities in Akkar, \ufb01ve of whic
vulnerable. Eleven of the 32 loca~~lities are also considered~~
pressure where the ratio of refu~~gees to deprived Lebanes~~
or more.
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~~El Aa~~
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municipalities.
Coordination among di\ufb00erent a~~ctors is increasing and joi~~
of reduced resources.
**MOST VULNERABLE LOCALITIES**
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There are 32 vulnerable localities in Akkar, \ufb01ve of whic
vulnerable. Eleven of the 32 loca~~lities are also considered~~
pressure where the ratio of refu~~gees to deprived Lebanes~~
or more.
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~~El Aa~~
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Mhamm||||||||||||||||||||||||||||\n|needs. This \ufb01nding is consistent~~ with data from VASyR~~
percentage of Syrian refugee ho~~useholds (49%) that did~~
Interventions with municipalities through the Mappin
municipalities.
Coordination among di\ufb00erent a~~ctors is increasing and joi~~
of reduced resources.
**MOST VULNERABLE LOCALITIES**
~~P~~
~~Informal Settlements~~
There are 32 vulnerable localities in Akkar, \ufb01ve of whic
vulnerable. Eleven of the 32 loca~~lities are also considered~~
pressure where the ratio of refu~~gees to deprived Lebanes~~
or more.
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~~El Aa~~
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municipalities.
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**MOST VULNERABLE LOCALITIES**
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vulnerable. Eleven of the 32 loca~~lities are also considered~~
pressure where the ratio of refu~~gees to deprived Lebanes~~
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Mhamm||||||||||||||||||||||||||||\n|needs. This \ufb01nding is consistent~~ with data from VASyR~~
percentage of Syrian refugee ho~~useholds (49%) that did~~
Interventions with municipalities through the Mappin
municipalities.
Coordination among di\ufb00erent a~~ctors is increasing and joi~~
of reduced resources.
**MOST VULNERABLE LOCALITIES**
~~P~~
~~Informal Settlements~~
There are 32 vulnerable localities in Akkar, \ufb01ve of whic
vulnerable. Eleven of the 32 loca~~lities are also considered~~
pressure where the ratio of refu~~gees to deprived Lebanes~~
or more.
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~~El Aa~~
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Mhamm||~~Bebnine~~||||||||||||||||||||||||||\n|needs. This \ufb01nding is consistent~~ with data from VASyR~~
percentage of Syrian refugee ho~~useholds (49%) that did~~
Interventions with municipalities through the Mappin
municipalities.
Coordination among di\ufb00erent a~~ctors is increasing and joi~~
of reduced resources.
**MOST VULNERABLE LOCALITIES**
~~P~~
~~Informal Settlements~~
There are 32 vulnerable localities in Akkar, \ufb01ve of whic
vulnerable. Eleven of the 32 loca~~lities are also considered~~
pressure where the ratio of refu~~gees to deprived Lebanes~~
or more.
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~~El Aa~~
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**Aakar**
Mhamm||||||||||||||||||||||||||||\n|needs. This \ufb01nding is consistent~~ with data from VASyR~~
percentage of Syrian refugee ho~~useholds (49%) that did~~
Interventions with municipalities through the Mappin
municipalities.
Coordination among di\ufb00erent a~~ctors is increasing and joi~~
of reduced resources.
**MOST VULNERABLE LOCALITIES**
~~P~~
~~Informal Settlements~~
There are 32 vulnerable localities in Akkar, \ufb01ve of whic
vulnerable. Eleven of the 32 loca~~lities are also considered~~
pressure where the ratio of refu~~gees to deprived Lebanes~~
or more.
**Informal Tented**
**Settlements**
~~El Aa~~
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**Aakar**
Mhamm||||||||||||||||||||||||||||\n\n\n#### **HUMANITARIAN ACTORS**\n\n\n\n**50 UN Agencies and NGOs operating in Akkar**\n\n\nABAAD, AEC, AJEM Lebanon, ANERA, ARCPA, Beyond, CCP JAPAN, CLMC\nLebanon, CONCERN, CYC, Danish Red Cross, DRC, FAO, Heartland, HI, Himaya,\nHWA, IA, ILO, IMC, IOCC Lebanon, IOM, IQRAA, IR Lebanon, IRC, IRD, Leb Relief,\nLebanese Red Cross, LFPADE, Makassed, MAP-UK, MoSA, MS Lebanon, MSL\nLebanon, NRC, Pal_Scouts, Palestinian Scouts & Guides Association, PU-AMI,\nRelief & Reconc, RI, SCI, SFCG, Solidarit\u00e9s, UNDP, UNFPA, UNHCR, UNRWA, URDA,\nWCH, WHO\n\n\n\nKey contacts\n\n\n\n**UNHCR** Monica Noro, noro@unhcr.org **UNDP** Alain Chatry, alain.chatry@undp.org\n**Ministery of Social Affairs (MoSA)** Ziad Nadri, ziadnadri@gmail.com\n\n\n**Akkar Governor** Mr Imad Labaki\n\n\n\n**Disclaimer:** The boundaries and names shown on this map do not imply official endorsement or acceptance by the United Nations.\n**Data Source:** Lebanese Population - Central Administration of Statistics (CAS) year 2002 dataset, Poverty data: CAS, UNDP and MoSA Living Conditions and Household Budget Survey 2004-5,\nSyrian Refugee Population - UNHCR as of 30/06/2015, Humanitarian Intervention Data - Activity Info as of 30/06/2015, Palestinian Refugee Population- UNRWA, Lebanese Returnees data IOM as of 30/06/2015\n\n\n", + "datasets": [ + { + "dataset_name": { + "text": "Informal Settlements", + "confidence": 0.8391588926315308, + "start": 1300, + "end": 1302 + }, + "dataset_tag": "vague", + "description": null, + "data_type": null, + "acronym": null, + "author": null, + "producer": null, + "geography": null, + "publication_year": null, + "reference_year": null, + "reference_population": null, + "is_used": "False", + "usage_context": "background" + }, + { + "dataset_name": { + "text": "data from VASyR", + "confidence": 0.8118394613265991, + "start": 1480, + "end": 1483 + }, + "dataset_tag": "vague", + "description": null, + "data_type": null, + "acronym": null, + "author": null, + "producer": null, + "geography": null, + "publication_year": null, + "reference_year": null, + "reference_population": null, + "is_used": "False", + "usage_context": "supporting" + }, + { + "dataset_name": { + "text": "Mappin", + "confidence": 0.6825160980224609, + "start": 1512, + "end": 1513 + }, + "dataset_tag": "vague", + "description": null, + "data_type": null, + "acronym": null, + "author": null, + "producer": null, + "geography": null, + "publication_year": null, + "reference_year": null, + "reference_population": null, + "is_used": "False", + "usage_context": "background" + }, + { + "dataset_name": { + "text": "data from VASyR", + "confidence": 0.7751677632331848, + "start": 5274, + "end": 5277 + }, + "dataset_tag": "vague", + "description": null, + "data_type": null, + "acronym": null, + "author": null, + "producer": null, + "geography": { + "text": "VASyR", + "confidence": 0.7684582471847534, + "start": 5276, + "end": 5277 + }, + "publication_year": null, + "reference_year": null, + "reference_population": { + "text": "Syrian refugee", + "confidence": 0.7995523810386658, + "start": 5284, + "end": 5286 + }, + "is_used": "False", + "usage_context": "supporting" + }, + { + "dataset_name": { + "text": "data from VASyR", + "confidence": 0.8416889309883118, + "start": 9095, + "end": 9098 + }, + "dataset_tag": "vague", + "description": null, + "data_type": null, + "acronym": null, + "author": null, + "producer": null, + "geography": null, + "publication_year": null, + "reference_year": null, + "reference_population": null, + "is_used": "False", + "usage_context": "supporting" + }, + { + "dataset_name": { + "text": "data from VASyR", + "confidence": 0.8504514098167419, + "start": 12889, + "end": 12892 + }, + "dataset_tag": "vague", + "description": null, + "data_type": null, + "acronym": null, + "author": null, + "producer": null, + "geography": { + "text": "VASyR", + "confidence": 0.6193898320198059, + "start": 12891, + "end": 12892 + }, + "publication_year": null, + "reference_year": null, + "reference_population": null, + "is_used": "False", + "usage_context": "supporting" + }, + { + "dataset_name": { + "text": "data from VASyR", + "confidence": 0.8227431178092957, + "start": 16725, + "end": 16728 + }, + "dataset_tag": "vague", + "description": null, + "data_type": null, + "acronym": null, + "author": null, + "producer": null, + "geography": null, + "publication_year": null, + "reference_year": null, + "reference_population": null, + "is_used": "False", + "usage_context": "supporting" + }, + { + "dataset_name": { + "text": "data from VASyR", + "confidence": 0.841995894908905, + "start": 20519, + "end": 20522 + }, + "dataset_tag": "vague", + "description": null, + "data_type": null, + "acronym": null, + "author": null, + "producer": null, + "geography": null, + "publication_year": null, + "reference_year": null, + "reference_population": null, + "is_used": "False", + "usage_context": "supporting" + }, + { + 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+ "usage_context": "background" + }, + { + "dataset_name": { + "text": "data from VASyR", + "confidence": 0.8163627982139587, + "start": 35779, + "end": 35782 + }, + "dataset_tag": "vague", + "description": null, + "data_type": null, + "acronym": null, + "author": null, + "producer": null, + "geography": null, + "publication_year": null, + "reference_year": null, + "reference_population": null, + "is_used": "False", + "usage_context": "supporting" + }, + { + "dataset_name": { + "text": "data from VASyR", + "confidence": 0.8665360808372498, + "start": 39600, + "end": 39603 + }, + "dataset_tag": "vague", + "description": null, + "data_type": null, + "acronym": null, + "author": null, + "producer": null, + "geography": { + "text": "VASyR", + "confidence": 0.7371581792831421, + "start": 39602, + "end": 39603 + }, + "publication_year": null, + "reference_year": null, + "reference_population": null, + "is_used": "False", + "usage_context": "supporting" + }, + { + "dataset_name": { + "text": "Settlements", + "confidence": 0.627525806427002, + "start": 39757, + "end": 39758 + }, + "dataset_tag": "vague", + "description": null, + "data_type": null, + "acronym": null, + "author": null, + "producer": null, + "geography": null, + "publication_year": null, + "reference_year": null, + "reference_population": null, + "is_used": "False", + "usage_context": "background" + }, + { + "dataset_name": { + "text": "data from VASyR", + "confidence": 0.8358058333396912, + "start": 43422, + "end": 43425 + }, + "dataset_tag": "vague", + "description": null, + "data_type": null, + "acronym": null, + "author": null, + "producer": null, + "geography": { + "text": "VASyR", + "confidence": 0.5253711938858032, + "start": 43424, + "end": 43425 + }, + "publication_year": null, + "reference_year": null, + "reference_population": null, + "is_used": "False", + "usage_context": "supporting" + }, + { + "dataset_name": { + "text": "data from VASyR", + "confidence": 0.6979539394378662, + "start": 47276, + "end": 47279 + }, + "dataset_tag": "vague", + "description": null, + "data_type": null, + "acronym": null, + "author": null, + "producer": null, + "geography": { + "text": "VASyR", + "confidence": 0.8260813355445862, + "start": 47278, + "end": 47279 + }, + "publication_year": null, + "reference_year": null, + "reference_population": { + "text": "Syrian refugee", + "confidence": 0.9092402458190918, + "start": 47286, + "end": 47288 + }, + "is_used": "False", + "usage_context": "supporting" + }, + { + "dataset_name": { + "text": "data from VASyR", + "confidence": 0.8554099202156067, + "start": 51098, + "end": 51101 + }, + "dataset_tag": "vague", + "description": null, + "data_type": null, + "acronym": null, + "author": null, + "producer": null, + "geography": null, + "publication_year": null, + "reference_year": null, + "reference_population": null, + "is_used": "False", + "usage_context": "supporting" + }, + { + "dataset_name": { + "text": "data from VASyR", + "confidence": 0.7905622124671936, + "start": 54921, + "end": 54924 + }, + "dataset_tag": "vague", + "description": null, + "data_type": null, + "acronym": null, + "author": null, + "producer": null, + "geography": { + "text": "VASyR", + "confidence": 0.746263861656189, + "start": 54923, + "end": 54924 + }, + "publication_year": null, + "reference_year": null, + "reference_population": { + "text": "Syrian refugee", + "confidence": 0.7648337483406067, + "start": 54931, + "end": 54933 + }, + "is_used": "False", + "usage_context": "supporting" + }, + { + "dataset_name": { + "text": "data from VASyR", + "confidence": 0.8671596050262451, + "start": 58743, + "end": 58746 + }, + "dataset_tag": "vague", + "description": null, + "data_type": null, + "acronym": null, + "author": null, + "producer": null, + "geography": null, + "publication_year": null, + "reference_year": null, + "reference_population": null, + "is_used": "False", + "usage_context": "supporting" + }, + { + "dataset_name": { + "text": "data from VASyR", + "confidence": 0.7833168506622314, + "start": 62570, + "end": 62573 + }, + "dataset_tag": "vague", + "description": null, + "data_type": null, + "acronym": null, + "author": null, + "producer": null, + "geography": { + "text": "VASyR", + "confidence": 0.7822026014328003, + "start": 62572, + "end": 62573 + }, + "publication_year": null, + "reference_year": null, + "reference_population": null, + "is_used": "False", + "usage_context": "supporting" + }, + { + "dataset_name": { + "text": "data from VASyR", + "confidence": 0.8564862012863159, + "start": 66392, + "end": 66395 + }, + "dataset_tag": "vague", + "description": null, + "data_type": null, + "acronym": null, + "author": null, + "producer": null, + "geography": null, + "publication_year": null, + "reference_year": null, + "reference_population": null, + "is_used": "False", + "usage_context": "supporting" + }, + { + "dataset_name": { + "text": "Syrian Refugee Population - UNHCR", + "confidence": 0.6391768455505371, + "start": 70450, + "end": 70455 + }, + "dataset_tag": "descriptive", + "description": null, + "data_type": null, + "acronym": null, + "author": null, + "producer": null, + "geography": null, + "publication_year": null, + "reference_year": { + "text": "2004-5", + "confidence": 0.5255046486854553, + "start": 70448, + "end": 70449 + }, + "reference_population": { + "text": "Syrian Refugee Population", + "confidence": 0.614885151386261, + "start": 70450, + "end": 70453 + }, + "is_used": "False", + "usage_context": "background" + } + ], + "document": { + "source": "https://reliefweb.int/attachments/b89d131c-2b21-3099-805f-245f1137ba38/10072015_AkkarGovernorateProfile.pdf", + "pages": [ + 1 + ] + } + } +] \ No newline at end of file