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The dataset generation failed
Error code: DatasetGenerationError
Exception: CastError
Message: Couldn't cast
text: string
tier: string
mention: string
kind: string
confidence: string
split: string
spec: string
to
{'text': Value('string'), 'tier': Value('string'), 'spec': Value('string'), 'split': Value('string'), 'mention': Value('string'), 'confidence': Value('string')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1827, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
text: string
tier: string
mention: string
kind: string
confidence: string
split: string
spec: string
to
{'text': Value('string'), 'tier': Value('string'), 'spec': Value('string'), 'split': Value('string'), 'mention': Value('string'), 'confidence': Value('string')}
because column names don't match
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1880, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
text string | tier string | spec string | split string | mention string | confidence string |
|---|---|---|---|---|---|
### I. Alemaya University of Agriculture (AUA)
### c. Overall Improvements of Common Facilities.
### HOW MEASURED
### SPECIFIC OBJECTIVE
1. Improve training quality of >>> Output data <<< (examina500 undergraduates annually. tion results).
BASELINE DATA
### WHEN MEASURED
End of each academic year 1986/8... | tier3_nonmention | vague | val | Output data | single_pass_a |
_ESIA and ESMP for the proposed rehabilitation and modernization of Nyando Law Courts_
**Table 1: Population Projections of Urban Areas in Kisumu County**
Source: KNBS, 2009 >>> Kenya Population and Housing Census <<< Vol. 1A, 2010
# **4.4.3 Health**
Health in Kisumu County is provided by several institutio... | tier1_evidential | named | val | Kenya Population and Housing Census | single_pass_a |
bs that require less energy e.g. packing and cleaning. In construction industry, women are mainly hired for curing the construction buildings, cooking for the male workers etc
# **4.4.3.1 HIV/AIDS**
According to the >>> National HIV Surveillance Report 2010 <<< , the national prevalence | tier1_evidential | named | val | National HIV Surveillance Report 2010 | single_pass_a |
ffects of the quake unrelated to the exemption, for example due to the fact that only younger cohorts responded to the limited income transfers assigned to sampled treated towns. The increase in the high school
> 22The >>> 1991 census <<< does not provide information on family background. We | tier2_declaration | named | val | 1991 census | single_pass_a |
households, with no difference in the overall response rate for urban and rural eligible women. Rural men were slightly more likely than urban men to have completed an interview.
# **3. Malnutrition in Ethiopia**
The >>> Ethiopia DHS data <<< add to the vast and growing international database on demographic and he... | tier2_declaration | named | val | Ethiopia DHS data | single_pass_a |
response rate for urban and rural eligible women. Rural men were slightly more likely than urban men to have completed an interview.
# **3. Malnutrition in Ethiopia**
The Ethiopia DHS data add to the vast and growing >>> international database on demographic and health variables <<< collected as a part of the MEAS... | tier2_declaration | descriptive | val | international database on demographic and health variables | single_pass_a |
Denote by _Timej,i,t−_ 5 the travel time between districts _j_ and _i_ at time _t−_ 5. We estimate the following regression on the >>> bilateral district migration data <<< : We then use the residual from this regression, _Rj,i,t_<sup>_s_</sup> _−_ 5<sup>, as the share variable</sup> when constructing the migration in... | tier1_evidential | descriptive | val | bilateral district migration data | single_pass_a |
ng natural hazards<br>and environmental risks in the project corridor areas, and will lead to better contingency planning to help improve<br>climate resilience. Road safety awareness campaigns in the project area, and a >>> road safety data <<< collection and<br>management system will help improve climate resilience ... | tier3_nonmention | descriptive | val | road safety data | single_pass_a |
# **IV. Positive Impact on Food Security**
WFP’s >>> Basic Needs Outcome Monitoring (BNOM) survey <<< was carried out in June 2023 to assess the impact of programmatic changes made by UNHCR and WFP in Q2 2023 on the food security of assisted families and their ability to meet their basic survival needs. Any changes... | tier1_evidential | named | val | Basic Needs Outcome Monitoring (BNOM) survey | single_pass_a |
sis for refining the targeting of vulnerable groups and developing a comprehensive social policy consistent with efficient, growth-oriented strategies. The Ministry of Planning executed the component, which consisted of >>> statistical surveys <<< , policy studies, and institutional capacity building.
**33.** The im... | tier2_declaration | descriptive | val | statistical surveys | single_pass_a |
Institutional Analysis of KFS and KWS for KEWASIP
### **B.3 Arrest, detention, and case handling**
- **First response & booking.** Beat/shift leaders document incidents immediately in an ** >>> Occurrence Book <<< (OB)** and station registers; KFS uses the Forest Protection Patrol Register (FPPR) to record patrols... | tier2_declaration | named | val | Occurrence Book | single_pass_a |
d KWS for KEWASIP
### **B.3 Arrest, detention, and case handling**
- **First response & booking.** Beat/shift leaders document incidents immediately in an **Occurrence Book (OB)** and station registers; KFS uses the >>> Forest Protection Patrol Register <<< (FPPR) to record patrols, contacts, and seizures.
- **... | tier2_declaration | named | val | Forest Protection Patrol Register | single_pass_a |
on and county registers with supervisor sign-off; weekly checks and supervisory comments were described as routine.
### **B.4 Weapons, armouries and sensitive technology**
- **Issuance & returns.** Stations maintain >>> Arms Movement Books <<< recording officer, firearm, rounds issued/returned, date, and purpose;... | tier2_declaration | named | val | Arms Movement Books | single_pass_a |
*armoury boxes** and designated armourers (corporal level or above) are used. Monthly returns on firearms are submitted to the police.
- **Drones/GPS/SMART.** Deployment is logged; KCAA clearance was cited for drones; >>> surveillance data <<< feed operational planning.
### **B.5 Training and refresher coverage**... | tier2_declaration | descriptive | val | surveillance data | single_pass_a |
reform was expected to result in higher coverage of the poor, better targeting, and potentially higher impacts on poverty. The magnitude of the impacts naturally depended on the parametric design features.
**Figure 3. >>> Monthly GMI Indicator <<< compared to at-risk-of-poverty line**
<!-- Start of picture text --... | tier1_evidential | named | val | Monthly GMI Indicator | single_pass_a |
apita, PPP (constant<br>2005 international Dollar)<br>3000<br>GDP per capita (current USD)<br>2000<br>1000<br>0<br>1980 1982 1984 1986 1988 1990 1992 1994 1996 1998 2000 2002 2004 2006 2008<br>Source: World Bank GDF and >>> WDI central database <<< Sep 2009<br><!-- End of picture text --> The key experiences of China... | tier1_evidential | named | val | WDI central database | single_pass_a |
prevención, protección y erradicación del trabajo infantil peligroso y la explotación laboral de los niños, niñas y adolescentes. Esto pasa por garantizar su derecho a la educación, así como la necesidad de visibilizar >>> estadísticas sobre accidentes y lesiones <<< derivados del trabajo infantil peligroso, la revi... | tier3_nonmention | descriptive | val | estadísticas sobre accidentes y lesiones | single_pass_a |
y and Kenyans
<!-- Start of picture text -->
100 77 72 78 77 75 76<br>80<br>60<br>40<br>20<br>0<br>Shona National Shona National Shona National<br>(urban)<br>Population average Kiambu County Nairobi County<br> >>> Shona SES <<< (2019) and KIHBS (KNBS 2015/16).<br>have larger dependency ratios than nationals... | tier1_evidential | named | val | Shona SES | single_pass_a |
- Start of picture text -->
100 77 72 78 77 75 76<br>80<br>60<br>40<br>20<br>0<br>Shona National Shona National Shona National<br>(urban)<br>Population average Kiambu County Nairobi County<br> Shona SES (2019) and >>> KIHBS <<< (KNBS 2015/16).<br>have larger dependency ratios than nationals in their respective ... | tier1_evidential | named | val | KIHBS | single_pass_a |
ateral and vertical variability of geological succession.
#### **3.2.1.6 Biological Environment**
The Eastern Aberdare Rivers of interest to this study, rise within the Aberdare Conservation Area (ACA). Many of the >>> river flow measurement gauges <<< are located near to the boundary of the ACA. The ACA include... | tier2_declaration | descriptive | val | river flow measurement gauges | single_pass_a |
ether with an exchange of expertise and knowledge between the Lebanon case and cases such as Jordan and the Kenya/Somalia experience.
Training on collective centre management will certainly be of outmost importance.
>>> Information on Syrian refugees <<< collected at the time of registration offers some data on t... | tier2_declaration | descriptive | val | Information on Syrian refugees | single_pass_a |
**Note** : the question codes are for Wave2 of the STEP Questionnaire (they do not coincide with the codes of Wave1).
To construct the indexes using STEP, each variable is standardized over the entire population of the >>> pooled STEP surveys <<< for all countries, where all countries are equally weighted. We then s... | tier1_evidential | named | val | pooled STEP surveys | single_pass_a |
-- Start of picture text -->
0.60<br>0.50<br>0.40<br>1 0.30<br>5<br>0.20<br>0.10<br>1992/93 1996fl 1999/00 2002/03 2005/6<br>--t National -+- Rural Urban<br><!-- End of picture text -->
**_Source:_** UBOS, various >>> Uganda National Household Survey <<< reports.
###### **111. THE GOVERNMENT’S PROGRAM**
19.... | tier1_evidential | named | val | Uganda National Household Survey | single_pass_a |
uct the requisite variables as well as the data used to validate the performance of the models.
## 3.1. Household data
We conduct the main analysis using monetary poverty estimates at the household level from the 2014 >>> MCS-ENIGH Household Survey data <<< . The survey is conducted every two years by the Mexican Na... | tier1_evidential | named | val | MCS-ENIGH Household Survey data | single_pass_a |
onal Institute of Statistics and Geography (INEGI) to understand the income, spending, socio-demographic, and employment situation of the country. It is a nationally representative, cross-sectional household survey. The >>> 2014 MCS-ENIGH survey <<< covers 58,125 households, of which approximately 75% are urban and 2... | tier1_evidential | named | val | 2014 MCS-ENIGH survey | single_pass_a |
Below, find copies of the >>> attendance list <<< for reference.
Waldena chief welcoming KOSAP team
REA team addressing waldena community | tier2_declaration | descriptive | val | attendance list | single_pass_a |
er way to provide information on health and health interventions, including statistical reporting programs of the U.N. and the World Bank.
In view of the limited financial resources in the developing countries, would a >>> world health survey <<< complement these health infonmation systems and contribute to long-ter... | tier3_nonmention | named | val | world health survey | single_pass_a |
o vary by region. Table 4 provides the first stage of the IV regressions. Locality-clustered bootstrapped standard errors in parentheses. ***, **, * - statistically significant at 1%, 5%, and 10%, respectively.
Source: >>> Enterprise Surveys <<< | tier1_evidential | named | val | Enterprise Surveys | single_pass_a |
trols for the locality-level credit market controls (log local banks’ average asset size in a 15km radius and the number of bank branches in a 15km radius); indicators for no firms in other sectors in a 15km radius with >>> data on credit constraints and green management <<< ; population size class; and region and sec... | tier1_evidential | descriptive | val | data on credit constraints and green management | single_pass_a |
nces; and
- iii. The GRC Hearing Procedure.
- b) The second stage will involve the following steps:
- i. Implementing the agreed actions to resolve the grievance
- ii. Closure of grievances;
- iii. >>> Grievance monitoring data base <<< , and
- iv. Feedback to complainants and other stake
... | tier3_nonmention | descriptive | val | Grievance monitoring data base | single_pass_a |
>>> UNHCR IDP Data Report <<< – May 2012
development responses to IDPs. Compounding the situation is the limited capacity and ad-hoc role of the Government of Afghanistan (GoA), in the prevention, mitigation and pursuit of solutions for the internally displaced.
It is in this context, that the internatio | tier3_nonmention | named | val | UNHCR IDP Data Report | single_pass_a |
s had we used the “new” poverty line and considered total consumption comparable to the 30-day recall versions. The appropriate trend for this version would require a recalculation of poverty for all three rounds of the >>> NLSS <<< using the new poverty line and new consumption aggregate based on the 30-day recall. ... | tier1_evidential | named | val | NLSS | single_pass_a |
the Program, and (b) Program Technical Committee (PTC) tasked with providing quality assurance on technical aspects of the Program.
45. **The USMID Program was designed to be monitored under the government system with >>> quarterly reports from municipal councils <<< submitted to the MoLHUD and the Ministry of Fina... | tier2_declaration | descriptive | val | quarterly reports from municipal councils | single_pass_a |
tritional status in urban communities in 1997 was better than in rural areas. The allocation procedure may be based on the community characteristics in 1998 and 1999, or changes from 1997, which we cannot observe in the >>> IFLS <<< . In this sense, observable characteristics do not include enough information to concl... | tier2_declaration | named | val | IFLS | single_pass_a |
benefits of using the eligible life exposure measure, we first use the binary indicator of exposure to the PMT program to estimate the impact on child height for age and
> 19 Frankenberg et al (1999), for example, use >>> IFLS2 <<< and IFLS2+ to capture changes in people’s well-being at the beginning of the crisis ... | tier1_evidential | named | val | IFLS2 | single_pass_a |
of using the eligible life exposure measure, we first use the binary indicator of exposure to the PMT program to estimate the impact on child height for age and
> 19 Frankenberg et al (1999), for example, use IFLS2 and >>> IFLS2+ <<< to capture changes in people’s well-being at the beginning of the crisis and find t... | tier1_evidential | named | val | IFLS2+ | single_pass_a |
a National Shona National Shona National<br>(urban) (urban) (urban)<br>Population average Men Women<br>Employed Unemployed Inactive<br>Percent of working age population<br><!-- End of picture text -->
**Source:** >>> Shona SES <<< (2019) and KIHBS (KNBS 2015/16).
> 24 Understanding the Socioeconomic Condit... | tier1_evidential | named | val | Shona SES | single_pass_a |
tional Shona National<br>(urban) (urban) (urban)<br>Population average Men Women<br>Employed Unemployed Inactive<br>Percent of working age population<br><!-- End of picture text -->
**Source:** Shona SES (2019) and >>> KIHBS <<< (KNBS 2015/16).
> 24 Understanding the Socioeconomic Conditions of the Stateless... | tier1_evidential | named | val | KIHBS | single_pass_a |
nt Upgrading.
- c. If PAPs are satisfied with the actual process and facilitation issued.
- d. If PAPs have been able to maintain their pre-project standard of living, and even improve on it.
The census and/or the >>> socio-economic survey study <<< which are the basis for the preparation of a monitoring and ex... | tier1_evidential | descriptive | val | socio-economic survey study | single_pass_a |
Informal Settlement Upgrading.
- c. If PAPs are satisfied with the actual process and facilitation issued.
- d. If PAPs have been able to maintain their pre-project standard of living, and even improve on it.
The >>> census <<< and/or the socio-economic survey study which are the basis for the preparation of a... | tier1_evidential | descriptive | val | census | single_pass_a |
Survey and Uganda’s 2011-12 National Panel Survey. It is not possible to determine whether a woman is pregnant at the time of measurement in the >>> Tanzania survey <<< .
**Table 2: Summary statistics for nutritional indicators using DHS**
||Underweight women|Stunted children|Wasted children|
|---|---|---|---|
|Beni... | tier2_declaration | descriptive | val | Tanzania survey | single_pass_a |
ility, this study uses output (or value-added) instead of GDP. In contrast to GDP, output does not include taxes and subsidies; differences between GDP and output are usually very small. The sum of sectoral outputs from >>> DOSM <<< is used to compute aggregate output.
5 | tier1_evidential | named | val | DOSM | single_pass_a |
Rate:|l|||||
|1959 to 1964|8.1%|8.6%|0.2%|11.7%|7.3'|
|1964 to 1969|5.8%|6.6%|0.2%|6.3'|5.5%|
l excludes **motorcycles and trailers**
Source: 1959-1965 estimated by the U.K. Road Research Laboratory on the basis of >>> new vehicle registrations and vehicle scrappage rates <<< ; 1966-1969-projected by mission.
J... | tier1_evidential | descriptive | val | new vehicle registrations and vehicle scrappage rates | single_pass_a |
egative impacts 15.5% considered an increase in mosquitos and subsequent increase in malaria.
Another challenge is the HIV/AIDS pandemic which poses tremendous strain to the health system in Kenya. As indicated by the >>> data collected from the PAPs <<< 20% have household members living with the HIV virus. This pr... | tier1_evidential | named | val | data collected from the PAPs | single_pass_a |
and (d) continued accessibility and permissive security. Allocations to the _payam_ level will follow the Government’s fiscal transfer formula of 60 percent equal allocation and 40 percent based on population (utilizing >>> IOM’s DTM projections <<< ) whereas all _bomas_ within target _payams_ will receive equal amoun... | tier1_evidential | named | val | IOM’s DTM projections | single_pass_a |
igure 2. Vulnerable Counties with Quick Wins**
25. **Subproject budget allocation.** The subproject budget allocation for the new counties will be calculated on a per capita basis using humanitarian agencies’ latest >>> population data <<< . There will be two rounds of allocations per county to maximize communitie... | tier1_evidential | descriptive | val | population data | single_pass_a |
CS-CQS / Sélection<br>de deux consultants (OAL)<br>pour la collecte et la saisie<br>des >>> données du score cadre <<< <br>deans 21 cmnes , Région de<br>l'Extrême-Nord<br>IDA / 57180|Component A: Local<br>development support|Post|Consultant<br>Qualification<br>Selection<br>|Open - National|85,727.00<br>5|46,75|4.14|Si... | tier3_nonmention | descriptive | val | données du score cadre | single_pass_a |
a prévention du retour forcé, des mesures de renforcement de la confiance, etc.
126 Après un examen très étendu et approfondi des données pour 2009-2010, qui comportaient des pratiques d’encodage incohérentes pour les >>> données du HCR <<< , nous avons procédé à trois corrections manuelles : les montants du HCR pou... | tier1_evidential | named | val | données du HCR | single_pass_a |
ions affectées, la capacité d’autoprotection de la communauté, l’assistance juridique, la prévention du retour forcé, des mesures de renforcement de la confiance, etc.
126 Après un examen très étendu et approfondi des >>> données pour 2009-2010 <<< , qui comportaient des pratiques d’encodage incohérentes pour les do... | tier2_declaration | vague | val | données pour 2009-2010 | single_pass_a |
process of treatment of complaints.
**N.B** : The monitoring and evaluation Officer at the regional level must transmit all the complaints linked to grievances to the National Coordination every month to constitute a >>> national database <<< .
- **Acknowledge reception and follow-up:**
- Inform users at eve... | tier3_nonmention | descriptive | val | national database | single_pass_a |
04<br>2021-06-17|
|CO-MADR-172098-CS-INDV<br>/ Intérpretes de imágenes<br>satelitales para el Cubo de<br> >>> datos de IDEAM <<< (x2)<br>T|F / A6377|Definition of Emission<br>Reduction Program and<br>Monitoring, Reporting and<br>Verification|Post|Individual<br>Consultant<br>Selection|Open|48,000.00|19,476.72<br>Si|gne... | tier3_nonmention | named | val | datos de IDEAM | single_pass_a |
s’ access to productive opportunities.** More care responsibilities, lower stamina and physical strength, and related vulnerability to crime means that mature workers depend heavily on quality transportation services. A >>> survey of senior workers in the United States <<< suggested that lack of reliable transportati... | tier1_evidential | descriptive | val | survey of senior workers in the United States | single_pass_a |
0**<br>Sub-Projects<br>*<br>SbPjcs<br>206,854<br>(M<br>**115,973;**<br>F<br>**90,881)**<br>(RefMonthlydata<br> >>> trackers <<< )|
|<br>(v<br> **PPP**||**100,000**<br>|**300,000**|**_300,000_**|**300,000**|**100,000**|**100,000**|**'a**<br>FromPOs**=111,069**<br>(M<br>**53,975;**<br>_F_<br>**57,094)**<br>(RefMonthly<br... | tier1_evidential | descriptive | val | trackers | single_pass_a |
clearance. As the information<sup>gatheredfromthebranch, thisissuewasnot</sup> raised **by** the auditors during<sup>site examination.</sup>
- The financial analysis sheet<sup>wasmadebasedonthealreadyattached</sup> >>> financial report <<< of the<sup>clientmade</ | tier1_evidential | descriptive | val | financial report | single_pass_a |
n why outward orientation is so beneficial, and searches for "dynamic gains from trade" that might clarify the mystery. Entirely properly, he complernents cross-country regressions by in-depth country studies based on a >>> personal data base <<< that he kept up to date for ten years after the first oil shock. The re... | tier1_evidential | descriptive | val | personal data base | single_pass_a |
rategy for workers to accumulate savings to finance self-employment when they return home. This paper provides direct evidence of this link and its effects on workers’ employment trajectories by using a new, large-scale >>> survey of temporary migrants from Bangladesh <<< . It constructs and estimates a dynamic model ... | tier1_evidential | descriptive | val | survey of temporary migrants from Bangladesh | single_pass_a |
ignificantly affected.
**Table 6:- Type and Number of Trees Affected**
|**Types of Tree**|**Quantity**|
|---|---|
|**Affected**||
|Eucalyptus|12,341|
|Coffee|7,352|
|Others|29,239|
|**Total**|48,932|
## **Source: >>> Asset Inventory <<< Conducted by Property Valuation Committee, 2018**
## 5.2.3. Impact on Ho... | tier1_evidential | named | val | Asset Inventory | single_pass_a |
|**Affected**||
|Eucalyptus|12,341|
|Coffee|7,352|
|Others|29,239|
|**Total**|48,932|
## **Source: Asset Inventory Conducted by Property Valuation Committee, 2018**
## 5.2.3. Impact on Housing
The findings of the >>> household census and asset inventory <<< showed that the project would affect 9 housing units ... | tier1_evidential | descriptive | val | household census and asset inventory | single_pass_a |
08<br>t d’adaptation naturelle au c<br>hangement climatique dansles villes de Yaoundé, Doual<br>a, Batouri et Ngaoundéré<br> CM-MINHDU-179172-CS-CQ<br>S / Recrutement d’un consul<br>tant pour l’évaluation de l'opération >>> fichiers des contribuables <<< réalisés par le PDUE dans les six Communes d'Arro IDA / 61320 S... | tier3_nonmention | descriptive | val | fichiers des contribuables | single_pass_a |
2016)_ A meta‐review of literature analyzing constraints to growth in developing countries finds that over 40% of such studies classify electricity as a binding constraint (McCulloch and Zileviciute, 2017). Based on the >>> World Bank Enterprise Survey <<< , Bbaale (2018) assesses the impact of electricity outages on ... | tier1_evidential | named | val | World Bank Enterprise Survey | single_pass_a |
losses in sales of 11‐12% for small, medium, and non‐exporting firms. For large and exporting firms, the study observes that the substitution of grid supplied power with generators tends to increase productivity.
Using >>> Enterprise Survey panel data <<< for 15 Sub‐Saharan African countries, Mensah (2016) identifie... | tier1_evidential | named | val | Enterprise Survey panel data | single_pass_a |
ing Enterprise Survey panel data for 15 Sub‐Saharan African countries, Mensah (2016) identifies reductions in firms’ productivity by 0.6% to 1.1% for a percentage increase in outage intensity. A similar study based on a >>> panel of 23 African countries <<< estimates that a one percent | tier1_evidential | descriptive | val | panel of 23 African countries | single_pass_a |
Policy Research Working Paper 9604
# **Abstract**
To assess the impact of COVID-19 on firms, the World Bank and the International Finance Corporation conducted >>> Business Pulse Surveys <<< in several countries, including six in the South Asia region. Analysis focusing on the South Asia region suggests that, first... | tier1_evidential | named | val | Business Pulse Surveys | single_pass_a |
l institutions and financial markets—the 4x2 measurement framework—as a strategy for empirically characterizing financial systems around the world and tracing their development over time. The section also introduces the >>> Global Financial Development Database <<< , an extensive world-wide database that combines and ... | tier1_evidential | named | val | Global Financial Development Database | single_pass_a |
izing financial systems around the world and tracing their development over time. The section also introduces the Global Financial Development Database, an extensive world-wide database that combines and updates several >>> financial data sets <<< . Section 4 uses this database and the ―4x2‖ measurement framework to e... | tier2_declaration | descriptive | val | financial data sets | single_pass_a |
y employment and GDP data cannot be included in the analysis. Unfortunately, this includes all low and some middle income countries in the region. Some difficult decisions have to be made. For example, Indonesia reports >>> semiannual employment data <<< , however only from the late 2000s. Reducing the estimation to s... | tier1_evidential | descriptive | val | semiannual employment data | single_pass_a |
emiannual data for all countries from the mid-2000s would imply forfeiting too many data for a meaningful statistical analysis. China, on the other hand, does not report quarterly real GDP data – however, it does report >>> quarterly real GDP growth data <<< . From this, China’s quarterly GDP data were constructed all... | tier1_evidential | descriptive | val | quarterly real GDP growth data | single_pass_a |
would imply forfeiting too many data for a meaningful statistical analysis. China, on the other hand, does not report quarterly real GDP data – however, it does report quarterly real GDP growth data. From this, China’s >>> quarterly GDP data <<< were constructed allowing for China to be included in the analysis.
Ov... | tier1_evidential | descriptive | val | quarterly GDP data | single_pass_a |
_**|0.268|0.35|
|**_ES9_**|11.38|11.66||**_IGME9 _**|0.354|0.35|
|**_ES16_**|14.66|14.11||**_IGME16_**|0.558|0.35|
Notes: (1) The data used are >>> CFPS 2016 <<< with children aged 18-35. (2) IGMEK is Intergenerational Marginal effect when father has K years of schooling, (3) ESK is expected schooling when father ha... | tier1_evidential | named | val | CFPS 2016 | single_pass_a |
f our estimates in a cross-country regression setting and to control for unobserved heterogeneity across countries.
# **3. Data**
The empirical parameters are estimated using several data sets. First, it relies on the >>> STEP surveys <<< to measure the task content of jobs. In addition to socio-economic, demograph... | tier1_evidential | named | val | STEP surveys | single_pass_a |
in the household, it randomly selects an individual between 15 to 64 years old to answer the complete questionnaire, which includes detailed employment and skills questions.
This research is also based on data from the >>> International Income Distribution Data Set <<< (I2D2). The I2D2 is a data set of harmonized ho... | tier2_declaration | named | val | International Income Distribution Data Set | single_pass_a |
ividual between 15 to 64 years old to answer the complete questionnaire, which includes detailed employment and skills questions.
This research is also based on data from the International Income Distribution Data Set ( >>> I2D2 <<< ). The I2D2 is a data set of harmonized household surveys which are comparable across ... | tier2_declaration | named | val | I2D2 | single_pass_a |
d to answer the complete questionnaire, which includes detailed employment and skills questions.
This research is also based on data from the International Income Distribution Data Set (I2D2). The I2D2 is a data set of >>> harmonized household surveys <<< which are comparable across countries and time. It currently ... | tier1_evidential | descriptive | val | harmonized household surveys | single_pass_a |
We first assembled a new database of the main transport infrastructure projects that occurred in the DRC since the end of the Second Congo War in 2003. A comprehensive list of such projects did not exist. We collected >>> project data <<< (start and completion years, cost, location, and type of infrastructure) from... | tier1_evidential | descriptive | val | project data | single_pass_a |
ur le Conditions de Vie des Ménages|
|Burkina Faso|2018-2019|Enquête Harmonisée sur le Conditions de Vie des Ménages|
|Côte d'Ivoire|2018-2019|Enquête Harmonisée sur le Conditions de Vie des Ménages|
|Ethiopia|2018-2019| >>> Ethiopia Socioeconomic Survey <<< <br>|
|Gabon|2017|Enquête Gabonaise pour l'Évaluation de la P... | tier2_declaration | named | val | Ethiopia Socioeconomic Survey | single_pass_a |
Conditions de Vie des Ménages|
|Ethiopia|2018-2019|Ethiopia Socioeconomic Survey<br>|
|Gabon|2017|Enquête Gabonaise pour l'Évaluation de la Pauvreté|
|Gambia, The|2015-2016|Integrated Household Survey|
|Ghana|2016-2017| >>> Ghana Living Standard Survey <<< |
|Guinea-Bissau|2018-2019|Enquête Harmonisée sur le Condition... | tier2_declaration | named | val | Ghana Living Standard Survey | single_pass_a |
rica including Nigeria, four countries in East Africa, Gabon in Central Africa, and South Africa. These countries account for 59 percent of the population of SubSaharan Africa in 2020 and were identified as those with a >>> consumption survey <<< between 2012-2019 with both region of birth and parental education avai... | tier1_evidential | descriptive | val | consumption survey | single_pass_a |
services that the settlement require.
**E8: Baseline information of the settlement** Detailed description of the baseline information of London/Hilton settlement; biological, physical environment and the results of a >>> socioeconomic survey <<< undertaken in the area indicates that; casual employment, formal empl... | tier1_evidential | descriptive | val | socioeconomic survey | single_pass_a |
<br>(Percentage)<br>Increase in the share of 18.25 Jan/2022 38.40 26-Mar-2026 29 Dec/2029<br>students achieving higher order<br>Comments on achieving targets From >>> NASMLA grade 3 study <<< , there was an improvement of 20.1% from<br>competencies in literacy (Level baseline to midline.<br>4) in non-refugee/host<... | tier1_evidential | named | val | NASMLA grade 3 study | single_pass_a |
e submitted to|corresponding report<br>should be submitted to|physical<br>development plans|
|||IVA for verification before|IVA for verification before|are integrated into|
|||September 30, 2023.|September 30, 2023.|the >>> NLIS <<< |
|Date|--|11-Sep-2023|11-Sep-2023|--|
<!-- Start of picture text -->
IN01422736<... | tier3_nonmention | null | val | NLIS | single_pass_a |
ontractor to adhere<br>to the mitigation of<br>risks against labour<br>influx,<br>the<br>contractor<br>should<br>engage<br>a<br>local<br>community<br>liaison<br>person.<br><br>The contractor will<br>ensure<br>proper<br> >>> records of labour <<< |re C<br>Responsibility<br>Contractor(s)<br>Supervision|opy<br>grievances... | tier3_nonmention | descriptive | val | records of labour | single_pass_a |
nder study. For the retail inflation, we have data on 19 deals. We had to drop some deals for which we have missing information on either the winning or losing county or for which we do not observe the IRI market in the >>> IRI data <<< . The IRI market is a collection of geographically close counties. So, for example... | tier1_evidential | named | val | IRI data | single_pass_a |
At the Bureau level, efforts are underway to update and upload procurement information to the STEP system, including the translation of the annual work plan into a procurement plan. Despite these advancements, uploading >>> procurement data <<< at the woreda level remains unfeasible due to technical and capacity limi... | tier2_declaration | descriptive | val | procurement data | single_pass_a |
also consistent with observed positive impacts on household businesses in the Interpersonal Initiative condition. For a randomly selected subsample of households (approximately one-fifth, N=457), we were able to collect >>> data on off-farm businesses <<< owned and managed by other members of the household, in additi... | tier1_evidential | descriptive | val | data on off-farm businesses | single_pass_a |
ize for the correct interpretation of Figure 3.
How much difference does “anonymity” make in measuring shared prosperity in India? Although NSS does not allow for a tracking of expenditures by households over time, the >>> India Human Development Surveys <<< (IHDS) for 2004‐05 and 2011‐12, which include a panel comp... | tier1_evidential | named | val | India Human Development Surveys | single_pass_a |
y among top three quintiles falls, even as the share of the bottom 40% in total consumption declines.
> 6 See Balcazar et al (2016) for more details on the incidence of consumption growth across the distribution, using >>> IHDS data <<< for 2005 and 2012.
5 | tier2_declaration | named | val | IHDS data | single_pass_a |
ion Progress, PBS 2 was rated Satisfactory. The PBS 2 results are summarized below. Most of the figures presented in this ISR as of June 2012, which is the most recent data available.
Health: In the health sector, the >>> Ethiopia Demographic and Health Survey <<< shows that contraceptive prevalence increased to 29... | tier1_evidential | named | val | Ethiopia Demographic and Health Survey | single_pass_a |
e<br>employment opportunity for PAPs children|Employment opportunity at<br>the Dry Port and livelihood<br>restoration for unemployed<br>youth|
**Source** : Field Survey, March 2020
### 3.5 **Summary of Impacts from >>> PAPs Survey <<< , Community and Stakeholders Consultation and Proposed Mitigation Measures**
... | tier1_evidential | named | val | PAPs Survey | single_pass_a |
reda Job Creation<br>Office are working and promised to create<br>employment opportunity for PAPs children|Employment opportunity at<br>the Dry Port and livelihood<br>restoration for unemployed<br>youth|
**Source** : >>> Field Survey <<< , March 2020
### 3.5 **Summary of Impacts from PAPs Survey, Community and St... | tier2_declaration | named | val | Field Survey | single_pass_a |
farm labor. Considering common survey practices and the features of smallholder farm labor, alongside insights from the social and cognitive psychology literature, there is a particular need for caution in interpreting >>> farm labor data <<< taken from household surveys.
Perhaps the most important aspect in our co... | tier2_declaration | descriptive | val | farm labor data | single_pass_a |
mmon survey practices and the features of smallholder farm labor, alongside insights from the social and cognitive psychology literature, there is a particular need for caution in interpreting farm labor data taken from >>> household surveys <<< .
Perhaps the most important aspect in our context is the implications o... | tier2_declaration | descriptive | val | household surveys | single_pass_a |
a metropolitan area when more than one municipality or equivalent administrative unit intersects a single urban extent with more than 500,000 people in 2010. We use the administrative unit boundaries from the World Bank >>> Latin American and the Caribbean Spatial Framework Database <<< (Branson et al., 2016) for thi... | tier1_evidential | named | val | Latin American and the Caribbean Spatial Framework Database | single_pass_a |
anzas, Banco de la Nación), United States (Economic Research Division, Federal Reserve Bank of St. Louis), and European countries (Eurostat [Last update: 19.07.19. Extracted on: 17.09.19]).
Central bank interest rates: >>> Global Financial Data <<< and central banks’websites.
Sample period to the estimation of soci... | tier2_declaration | named | val | Global Financial Data | single_pass_a |
on, Federal Reserve Bank of St. Louis), and European countries (Eurostat [Last update: 19.07.19. Extracted on: 17.09.19]).<sup>39</sup> Total government spending and revenues: Argentina (Ministerio de Economía en base a >>> datos de la Secretaría de Hacienda <<< ), Brazil (STN, IBGE, IPEA e BCB), Chile (Dirección de P... | tier2_declaration | named | val | datos de la Secretaría de Hacienda | single_pass_a |
sue is that the available data do not contain information on state language skills, which are likely to be correlated with ethnicity. Bearing this in mind, the average differentials are sizable nonetheless. According to >>> LFS 2002 data <<< , in which ethnicity is self-reported, ethnic Latvians’ average net earnings ... | tier1_evidential | named | val | LFS 2002 data | single_pass_a |
ch has improved the usefulness and accuracy of M&E activities, providing the client and other stakeholders better visibility of the progress and challenges at project sites. It has also facilitated the administration of >>> perception/beneficiary surveys <<< and captured results on intangible outcomes such as social ... | tier2_declaration | descriptive | val | perception/beneficiary surveys | single_pass_a |
# **Social Capital, Finance, and Consumption: Evidence from a**
# ** >>> Representative Sample of Chinese Households <<< **<sup>**1**</sup>
Robert Cull World Bank Li Gan Texas A&M Univ. and SWUFE Nan Gao Zhong-Nan Univ. of Finance and Economics Lixin Colin Xu World Bank JEL codes: G14, G15, O16, O17.
Keywords: socia... | tier3_nonmention | descriptive | val | Representative Sample of Chinese Households | single_pass_a |
ng from their own savings (37 percent). North residents buy “only afford to” food items (43 percent), reduce quality of meals (40 percent) and spend from savings (40
> 3 In 2013, the poverty rate was updated using the >>> Consumer Price Index <<< to US$3.84 for the | tier1_evidential | named | val | Consumer Price Index | single_pass_a |
financial closure between 1990 and 2010 (i.e., PPPs that have survived five or more years). Of the 5,054 PPPs in the >>> PPI Database <<< , 3,552 projects have survived more than 5 years, of which 2,777 are operational or concluded, whereas 173 are canceled (Table 1).
The main reason not to consider relatively young ... | tier1_evidential | named | val | PPI Database | single_pass_a |
ol localities; households in control localities are more likely to have an unmarried head than those in cash localities; and control households are more likely to have running water at home than those in cash villages.
>>> Individual consumption data <<< was only collected for children aged 1 through 4 years. As the... | tier1_evidential | descriptive | val | Individual consumption data | single_pass_a |
End of preview.
data-use-evidence-classifier-data
Training corpus for the evidence-tier classifier (v3): 62,054 data-use mention
spans (marked >>> mention <<< in context) with luna-judged tiers
(tier1_evidential / tier2_declaration / tier3_nonmention / junk), distilled from
rafmacalaba/data-use-mentions-v2 (val + holdout dual-pass + train-top single-pass).
train— 62,054 spans, decontaminated against the gold controlsgold— 573 human-adjudicated controls (573 gold tier labels), held out for benchmarking
Source: rafmacalaba/data-use-mentions-v2 (gliner2_v2 output_meta overlay).
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