6 datasets found
  1. F

    France FR: Population in Largest City

    • ceicdata.com
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    CEICdata.com, France FR: Population in Largest City [Dataset]. https://www.ceicdata.com/en/france/population-and-urbanization-statistics/fr-population-in-largest-city
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    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    France
    Variables measured
    Population
    Description

    France FR: Population in Largest City data was reported at 10,844,847.000 Person in 2017. This records an increase from the previous number of 10,789,031.000 Person for 2016. France FR: Population in Largest City data is updated yearly, averaging 9,226,364.500 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 10,844,847.000 Person in 2017 and a record low of 7,410,735.000 Person in 1960. France FR: Population in Largest City data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s France – Table FR.World Bank: Population and Urbanization Statistics. Population in largest city is the urban population living in the country's largest metropolitan area.; ; United Nations, World Urbanization Prospects.; ;

  2. o

    Geonames - All Cities with a population > 1000

    • public.opendatasoft.com
    • data.smartidf.services
    • +3more
    csv, excel, geojson +1
    Updated Mar 10, 2024
    + more versions
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    (2024). Geonames - All Cities with a population > 1000 [Dataset]. https://public.opendatasoft.com/explore/dataset/geonames-all-cities-with-a-population-1000/
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    csv, json, geojson, excelAvailable download formats
    Dataset updated
    Mar 10, 2024
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    All cities with a population > 1000 or seats of adm div (ca 80.000)Sources and ContributionsSources : GeoNames is aggregating over hundred different data sources. Ambassadors : GeoNames Ambassadors help in many countries. Wiki : A wiki allows to view the data and quickly fix error and add missing places. Donations and Sponsoring : Costs for running GeoNames are covered by donations and sponsoring.Enrichment:add country name

  3. g

    Dataset Direct Download Service (WFS): The amusement areas of cities in the...

    • gimi9.com
    Updated Jul 25, 2024
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    (2024). Dataset Direct Download Service (WFS): The amusement areas of cities in the Greater East region | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_fr-120066022-srv-014e588f-afa6-4d7b-b3f5-3b06a68e9af4
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    Dataset updated
    Jul 25, 2024
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    The catchment area of a city is a group of municipalities, of a single enclave and enclave, which defines the extent of the influence of a cluster of population and employment on the surrounding municipalities, this influence being measured by the intensity of commuting to work. Urban area zoning follows the zoning into urban areas in 2010. An area consists of a pole and a crown. — Poles are determined mainly on the basis of density and total population criteria, using a methodology consistent with that of the municipal density grid. A threshold of jobs is added in order to prevent essentially residential municipalities with few jobs from being considered poles. Within the pole, the most populous commune is called the center commune. If a pole sends at least 15 % of its assets to work in another pole of the same level, the two poles are associated and together form the heart of a catchment area. — Municipalities that send at least 15 % of their assets to work in the pole are the crown of the area. The definition of the largest catchment areas of cities is consistent with the definition of “cities” and “functional urban areas” used by Eurostat and the OECD to analyse the functioning of cities. Zoning into catchment areas thus facilitates international comparisons and makes it possible to visualise the influence in France of major foreign cities. For example, seven areas have a town located abroad (Bâle, Charleroi, Geneva, Lausanne, Luxembourg, Monaco and Saarbrücken). The areas are classified according to the total number of inhabitants of the area in 2017. The main thresholds selected are: Paris, 700,000 inhabitants, 200,000 inhabitants and 50,000 inhabitants. Areas whose pole is located abroad are classified in the category corresponding to their total population (French and foreign). Urban catchment areas, dated 2020, were constructed with reference to commuting known in the 2016 Census. Downloadable files provide the characteristics of the city’s catchment areas (size slice, number of municipalities) and the municipal composition of the city’s catchment areas.

  4. D

    Major cities of the world

    • demo.dev.datopian.com
    csv
    Updated Feb 22, 2023
    + more versions
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    Datopian Support (2023). Major cities of the world [Dataset]. https://demo.dev.datopian.com/dataset/major-cities-of-the-world
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    csv(895586)Available download formats
    Dataset updated
    Feb 22, 2023
    Dataset provided by
    Datopian Support
    License

    http://www.opendefinition.org/licenses/cc-by-sahttp://www.opendefinition.org/licenses/cc-by-sa

    Area covered
    World
    Description

    List of major cities in the world, the data is extracted from geonames, a very exhaustive list of worldwide toponyms. This datasete only list cities above 15,000 inhabitants. Each city is associated with its country and subcountry to reduce the number of ambiguities. Subcountry can be the name of a state (eg in United Kingdom or the United States of America) or the major administrative section (eg ‘‘region’’ in France’’). See admin1 field on geonames website for further info about subcountry.

  5. F

    Travel Scripted Monologue Speech Data: French (France)

    • futurebeeai.com
    wav
    Updated Aug 1, 2022
    + more versions
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    Travel Scripted Monologue Speech Data: French (France) [Dataset]. https://www.futurebeeai.com/dataset/monologue-speech-dataset/travel-scripted-speech-monologues-french-france
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    wavAvailable download formats
    Dataset updated
    Aug 1, 2022
    Dataset provided by
    FutureBeeAI
    Authors
    FutureBee AI
    License

    https://www.futurebeeai.com/data-license-agreementhttps://www.futurebeeai.com/data-license-agreement

    Area covered
    French, France
    Dataset funded by
    FutureBeeAI
    Description

    Introduction

    Welcome to the French Scripted Monologue Speech Dataset for the Travel Domain. This meticulously curated dataset is designed to advance the development of French language speech recognition models, particularly for the Travel industry.

    Speech Data

    This training dataset comprises over 6,000 high-quality scripted prompt recordings in French. These recordings cover various topics and scenarios relevant to the Travel domain, designed to build robust and accurate customer service speech technology.

    Participant Diversity:
    Speakers: 60 native French speakers from different regions of France.
    Regions: Ensures a balanced representation of French accents, dialects, and demographics.
    Participant Profile: Participants range from 18 to 70 years old, representing both males and females in a 60:40 ratio, respectively.
    Recording Details:
    Recording Nature: Audio recordings of scripted prompts/monologues.
    Audio Duration: Average duration of 5 to 30 seconds per recording.
    Formats: WAV format with mono channels, a bit depth of 16 bits, and sample rates of 8 kHz and 16 kHz.
    Environment: Recordings are conducted in quiet settings without background noise and echo.
    Topic Diversity: The dataset encompasses a wide array of topics and conversational scenarios to ensure comprehensive coverage of the Travel sector. Topics include:
    Customer Service Interactions
    Booking and Reservations
    Travel Inquiries
    Technical Support
    General Information and Advice
    Promotional and Sales Events
    Domain Specific Statements
    Other Elements: To enhance realism and utility, the scripted prompts incorporate various elements commonly encountered in Travel interactions:
    Names: Region-specific names of males and females in various formats.
    Addresses: Region-specific addresses in different spoken formats.
    Dates & Times: Inclusion of date and time in various travel contexts, such as booking dates, departure and arrival times.
    Destinations: Specific names of cities, countries, and tourist attractions relevant to the travel sector.
    Numbers & Prices: Various numbers and prices related to ticket costs, hotel rates, and transaction amounts.
    Booking IDs and Confirmation Numbers: Inclusion of booking identification and confirmation details for realistic customer service scenarios.

    Each scripted prompt is crafted to reflect real-life scenarios encountered in the Travel domain, ensuring applicability in training robust natural language processing and speech recognition models.

    Transcription Data

    In addition to high-quality audio recordings, the dataset includes meticulously prepared text files with verbatim transcriptions of each audio file. These transcriptions are essential for training accurate and robust speech recognition models.

    Content: Each text file contains the exact scripted prompt corresponding to its audio file, ensuring consistency.
    Format: Transcriptions are provided in plain text (.TXT) format, with files named to match their associated audio files for easy reference.
    <div style="margin-top:10px; margin-bottom:

  6. g

    Dataset Direct Download Service (WFS): Attractions of cities in 2020 in...

    • gimi9.com
    Updated Jul 25, 2024
    + more versions
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    (2024). Dataset Direct Download Service (WFS): Attractions of cities in 2020 in Corrèze and neighbouring departments. | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_fr-120066022-srv-da9cb423-1b27-417e-8c0e-f551fb514b8d
    Explore at:
    Dataset updated
    Jul 25, 2024
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Corrèze
    Description

    L_AIRE_ATT_VILLE_2020_ZSUP_FLA_000 Attractions of cities in 2020 in Corrèze and neighbouring departments. Objects located on the outskirts of neighbouring departments may not be complete if they overflow on the neighbouring deparetment. Sources: INSEE + GeoFLA IGN https://www.insee.fr/fr/information/4803954 The catchment area of a city is a group of municipalities, of a single enclave and enclave, which defines the extent of the influence of a cluster of population and employment on the surrounding municipalities, this influence being measured by the intensity of commuting to work. Urban area zoning follows the zoning into urban areas in 2010. An area consists of a pole and a crown. Poles are determined mainly on the basis of density and total population criteria, using a methodology consistent with that of the municipal density grid. A threshold of jobs is added in order to prevent essentially residential municipalities with few jobs from being considered poles. Within the pole, the most populous commune is called the center commune. If a pole sends at least 15 % of its assets to work in another pole of the same level, the two poles are associated and together form the heart of a catchment area. Municipalities that send at least 15 % of their assets work in the pole are the crown of the area. The definition of the largest catchment areas of cities is consistent with the definition of “cities” and “functional urban areas” used by Eurostat and the OECD to analyse the functioning of cities. Zoning into catchment areas thus facilitates international comparisons and makes it possible to visualise the influence in France of major foreign cities. For example, seven areas have a town located abroad (Bâle, Charleroi, Geneva, Lausanne, Luxembourg, Monaco and Saarbrücken). The areas are classified according to the total number of inhabitants of the area in 2017. The main thresholds selected are: Paris, 700,000 inhabitants, 200,000 inhabitants and 50,000 inhabitants. Areas whose pole is located abroad are classified in the category corresponding to their total population (French and foreign). Urban catchment areas, dated 2020, were constructed with reference to commuting known in the 2016 Census. Downloadable files provide the characteristics of the city’s catchment areas (size slice, number of municipalities) and the municipal composition of the city’s catchment areas.

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CEICdata.com, France FR: Population in Largest City [Dataset]. https://www.ceicdata.com/en/france/population-and-urbanization-statistics/fr-population-in-largest-city

France FR: Population in Largest City

Explore at:
Dataset provided by
CEICdata.com
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Time period covered
Dec 1, 2005 - Dec 1, 2016
Area covered
France
Variables measured
Population
Description

France FR: Population in Largest City data was reported at 10,844,847.000 Person in 2017. This records an increase from the previous number of 10,789,031.000 Person for 2016. France FR: Population in Largest City data is updated yearly, averaging 9,226,364.500 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 10,844,847.000 Person in 2017 and a record low of 7,410,735.000 Person in 1960. France FR: Population in Largest City data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s France – Table FR.World Bank: Population and Urbanization Statistics. Population in largest city is the urban population living in the country's largest metropolitan area.; ; United Nations, World Urbanization Prospects.; ;

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