6 datasets found
  1. Literacy rate in India 1981-2023, by gender

    • statista.com
    Updated Apr 7, 2019
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    Statista (2019). Literacy rate in India 1981-2023, by gender [Dataset]. https://www.statista.com/statistics/271335/literacy-rate-in-india/
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    Dataset updated
    Apr 7, 2019
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    India
    Description

    Literacy in India has been increasing as more and more people receive a better education, but it is still far from all-encompassing. In 2023, the degree of literacy in India was about 77 percent, with the majority of literate Indians being men. It is estimated that the global literacy rate for people aged 15 and above is about 86 percent. How to read a literacy rateIn order to identify potential for intellectual and educational progress, the literacy rate of a country covers the level of education and skills acquired by a country’s inhabitants. Literacy is an important indicator of a country’s economic progress and the standard of living – it shows how many people have access to education. However, the standards to measure literacy cannot be universally applied. Measures to identify and define illiterate and literate inhabitants vary from country to country: In some, illiteracy is equated with no schooling at all, for example. Writings on the wallGlobally speaking, more men are able to read and write than women, and this disparity is also reflected in the literacy rate in India – with scarcity of schools and education in rural areas being one factor, and poverty another. Especially in rural areas, women and girls are often not given proper access to formal education, and even if they are, many drop out. Today, India is already being surpassed in this area by other emerging economies, like Brazil, China, and even by most other countries in the Asia-Pacific region. To catch up, India now has to offer more educational programs to its rural population, not only on how to read and write, but also on traditional gender roles and rights.

  2. WolBanking77

    • kaggle.com
    zip
    Updated May 15, 2025
    + more versions
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    Abdou Karim Kandji (2025). WolBanking77 [Dataset]. https://www.kaggle.com/datasets/abdoukarimkandji/wolbanking77
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    zip(424292168 bytes)Available download formats
    Dataset updated
    May 15, 2025
    Authors
    Abdou Karim Kandji
    License

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

    Description

    Intent classification models have made a lot of progress in recent years. However, previous studies primarily focus on high-resource languages datasets, which results in a gap for low-resource languages and for regions with a high rate of illiterate people where languages are more spoken than read or written. This is the case in Senegal, for example, where Wolof is spoken by around 90% of the population, with an illiteracy rate of 42% for the country. Wolof is actually spoken by more than 10 million people in West African region.

    To tackle such limitations, we release a Wolof Banking Speech Intent Classification Dataset (WolBanking77), for academic research in intent classification. WolBanking77 currently contains 9,791 text sentences in the banking domain and more than 4 hours of spoken sentences.

    This dataset is suitable for :

    • Customer Intent Detection
    • Machine Translation in French & Wolof
    • Automatic Speech Recognition in Wolof
    • Comparing different machine learning models for Intent Classification

    Dataset Content:

    • text dir - Contains text dataset
    • audio dir - Contains audio dataset
    • train.csv – Text Training dataset (includes label target)
    • test.csv – Text Test dataset (no label target)
    • train.parquet - Audio Training dataset
    • test.parquet - Audio Test dataset
    • questions.csv - Customer queries
    • responses.csv - Bot responses

    Target Variable:

    • label→ The client intent

    Features:

    • input – Client’s query in English (text)
    • input_fr – Client’s query in French (text)
    • input_wo – Client’s query in Wolof (text)
    • label – Client's Intent (categorical)

    License

    CC BY 4.0 – Open for public use.

    Inspiration

    • Can you predict the client intent?
    • How well do different machine learning models perform on this classification task?
  3. e

    Уровень грамотности населения в | Literacy rate of people

    • repository.econdata.tech
    Updated Sep 29, 2025
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    (2025). Уровень грамотности населения в | Literacy rate of people [Dataset]. https://repository.econdata.tech/dataset/statisti-literacy-rate-of-people
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    Dataset updated
    Sep 29, 2025
    Description

    Определение: Процент населения в возрасте от 15 лет и старше, способного с пониманием как прочитать, так и написать краткое простое изложение своей повседневной жизни. [Переведено с en: английского языка] Тематическая область: Социальные показатели и статистика [Переведено с en: английского языка] Область применения: Образование [Переведено с en: английского языка] Единица измерения: Процент [Переведено с en: английского языка] Источник данных: Онлайновая база данных СИЮ [Переведено с es: испанского языка] Комментарии: Статистический институт ЮНЕСКО (СИЮ) ежегодно собирает данные о глобальной грамотности и обновляет свои статистические данные дважды в год, в апреле и сентябре. Эти данные основаны на данных наблюдений, представленных странами. Данные о неграмотности получены в результате переписей населения, обследований домашних хозяйств и/или рабочей силы, а также специальных обследований грамотности. Однако конкретные вопросы для оценки грамотности не всегда включаются во все переписи или обследования. В некоторых странах, где эти вопросы не включаются в переписи или обследования, для оценки уровня грамотности используется уровень образования человека (соответствующий годам обучения в школе). Распространенной практикой является то, что люди, не имеющие школьного образования, считаются неграмотными, хотя те, кто окончил 5 классов начальной школы, считаются грамотными. Последние рекомендации и принципы, содержащиеся в документе Организации Объединенных Наций “Принципы и рекомендации по проведению переписей населения и жилищного фонда ". Странам рекомендуется воздерживаться от использования косвенных показателей, основанных на уровне образования. В настоящем документе рекомендуется, чтобы вопросы о грамотности проводились в рамках национальных переписей, включая обследования домашних хозяйств, или в рамках выборочной переписи населения после переписи. Ограничения: Было замечено, что некоторые страны применяют определения и подходы, отличные от международных стандартов, или приравнивают людей, не имеющих школьного образования, к неграмотным, или меняют определения между переписями населения. Например, способ измерения грамотности может варьироваться от простого вопроса: “Грамотный вы человек или нет?” до тестирования для оценки навыков грамотности. Это, наряду с ошибочным заявлением о своей грамотности, создает трудности при международных сопоставлениях и может повлиять на достоверность статистики грамотности. Данные, собранные в ходе опросов, также свидетельствуют о проблемах сравнения как между опросами, так и между периодами времени для одного и того же опроса, поскольку определения грамотности, используемые в опросах, не стандартизированы. [Переведено с es: испанского языка] Последнее обновление: Nov 23 2023 10:42AM Организация-источник: Статистический институт Организации Объединенных Наций по вопросам образования, науки и культуры [Переведено с en: английского языка] Definition: Percentage of the population ages 15 years and over who can with understanding both read and write a short simple statement on his everyday life. Thematic Area: Social Indicators and Statistics Application Area: Education Unit of Measurement: Percentage Data Source: UIS online database Comments: The UNESCO Institute for Statistics (UIS) collects global literacy data on an annual basis and updates its statistics twice a year, in April and September. These data are based on observed data reported by countries. Illiteracy data are obtained from population censuses, household surveys and/or labor force and specific literacy surveys. However, specific questions to evaluate literacy are not always included in all censuses or surveys. In some countries, where these questions are not included in censuses or surveys, the educational attainment of a person (corresponding to the years of schooling completed) is used in order to assess literacy status. A common practice is to consider people without schooling as illiterate, although those who have reached grade 5 of primary school are defined as literate. The latest recommendations and principles of the United Nations document “Principles and Recommendations for Population and Housing Censuses ." advises countries against adopting a proxy measurement based on educational attainment. This document recommends that literacy questions be administered as part of national censuses and household surveys included, or as part of a post-census sample enumeration. Limitations: It has been observed that some countries apply definitions and approaches different from the internationally defined standards, or equal people without schooling with illiterate people, or they change definitions between censuses. For example, the way of measuring literacy can vary from the simple question: “Are you a literate person or not?” to testing to assess literacy skills. This, together with the mistake of declaring oneself literate, causes difficulties in international comparisons and can affect the credibility of literacy statistics. Data collected by surveys also show comparison problems both between surveys and between periods of time for the same survey, because literacy definitions used in surveys are not standardized. Last Update: Nov 23 2023 10:42AM Source Organization: Institute for Statistics of the United Nations Organization for Education, Science and Culture

  4. e

    Уровень грамотности среди 15-24-летних | Literacy rate of 15-24

    • repository.econdata.tech
    Updated Sep 29, 2025
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    (2025). Уровень грамотности среди 15-24-летних | Literacy rate of 15-24 [Dataset]. https://repository.econdata.tech/dataset/statisti-literacy-rate-of-15-24
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    Dataset updated
    Sep 29, 2025
    Description

    [Переведено с en: английского языка] Definition: Percentage of the population between 15 and 24 years of age who can with understanding both read and write a short simple statement on his everyday life. Thematic Area: Social Indicators and Statistics Application Area: Education Unit of Measurement: Percentage Data Source: UIS online database Comments: The UNESCO Institute for Statistics (UIS) collects global literacy data on an annual basis and updates its statistics twice a year, in April and September. These data are based on observed data reported by countries. Literacy estimates are not comparable and should be interpreted with caution. Data presented correspond to the last literacy estimates and projections by UNESCO, revised in July 2002 and based on data gathered in population censuses and national surveys. Estimates are available for approximately 117 countries in the world and are the main international data source. Data on population correspond to United Nations estimates according to the latest World Population Prospects Revision. Illiteracy data are obtained from population censuses, household surveys and/or labor force and specific literacy surveys. However, specific questions to evaluate literacy are not always included in all censuses or surveys. In some countries, where these questions are not included in censuses or surveys, the educational attainment of a person (corresponding to the years of schooling completed) is used in order to assess literacy status. A common practice is to consider people without schooling as illiterate, although those who have reached grade 5 of primary school are defined as literate. The latest recommendations and principles of the United Nations document “Principles and Recommendations for Population and Housing Censuses ." advises countries against adopting a proxy measurement based on educational attainment. This document recommends that literacy questions be administered as part of national censuses and household surveys included, or as part of a post-census sample enumeration. Limitations: It has been observed that some countries apply definitions and approaches different from the internationally defined standards, or equal people without schooling with illiterate people, or they change definitions between censuses. For example, the way of measuring literacy can vary from the simple question: “Are you a literate person or not?” to testing to assess literacy skills. This, together with the mistake of declaring oneself literate, causes difficulties in international comparisons and can affect the credibility of literacy statistics. Data collected by surveys also show comparison problems both between surveys and between periods of time for the same survey, because literacy definitions used in surveys are not standardized.

  5. 🚨Prison Statistics and Information India

    • kaggle.com
    zip
    Updated Jul 10, 2023
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    Ansh Tanwar (2023). 🚨Prison Statistics and Information India [Dataset]. https://www.kaggle.com/datasets/anshtanwar/prisoners-dataset/discussion
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    zip(6424 bytes)Available download formats
    Dataset updated
    Jul 10, 2023
    Authors
    Ansh Tanwar
    Area covered
    India
    Description

    Description

    This dataset contains information about the prisoners in India in 2020. A criminal is a person who is guilty of a crime, notably breaking the law. A prisoner is a person incarcerated in a prison, while on trial or serving a sentence

    Description

    • It has 87 columns and 39 rows. The columns include the state or union territory, the educational standard, the domicile, the religion, the gender, the age group, the type of prison, and the type of offense.
    • The rows include the total for each state or union territory and the total for all of India.
    • The dataset is based on the Prison Statistics India (PSI) report published by the National Crime Records Bureau (NCRB).
    • The dataset can be used for analysis and visualization of the prisoner's statistics

    Features

    Here is a list of first 10 column names and their descriptions: 1. Sl. No.: Serial number of the row. 2. State/UT: The state or union territory where the prison is located. 3. Educational Standard - Illiterate: The number of prisoners who are illiterate 4. Educational Standard - Below Class X: The number of prisoners who have completed less than 10 years of education. 5. Educational Standard - Class X & above but below Graduation: The number of prisoners who have completed 10 years of education or more but less than graduation 6. Educational Standard - Graduate: The number of prisoners who have completed graduation or higher education. 7. Educational Standard - Holding Tech. Degree/ Diploma: The number of prisoners who hold a technical degree or diploma 8. Educational Standard - Post Graduate: The number of prisoners who have completed post-graduation or higher education. 9. Educational Standard - Total: The total number of prisoners by educational standard. 10. Domicile - Belongs to State: The number of prisoners who belong to the state where the prison is located

  6. Automatic Speech Recognition in WOLOF

    • kaggle.com
    zip
    Updated May 17, 2021
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    Abid Ali Awan (2021). Automatic Speech Recognition in WOLOF [Dataset]. https://www.kaggle.com/kingabzpro/automatic-speech-recognition-in-wolof
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    zip(2451638059 bytes)Available download formats
    Dataset updated
    May 17, 2021
    Authors
    Abid Ali Awan
    Description

    Context

    In a country such as Senegal, where about 50% of the population is illiterate, technologies and applications that are designed to be used by people who can read are not as effective as they could be. In this competition, your aim is to use Automatic Speech Recognition (ASR) techniques in the Wolof language to help illiterate people to interact with apps with just their voice, in a language they can already speak.

    This Data set contains arrow data and a model. I am sorry that I have to detete everything from Zindi as they have changed their rule today.

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Statista (2019). Literacy rate in India 1981-2023, by gender [Dataset]. https://www.statista.com/statistics/271335/literacy-rate-in-india/
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Literacy rate in India 1981-2023, by gender

Explore at:
22 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Apr 7, 2019
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
India
Description

Literacy in India has been increasing as more and more people receive a better education, but it is still far from all-encompassing. In 2023, the degree of literacy in India was about 77 percent, with the majority of literate Indians being men. It is estimated that the global literacy rate for people aged 15 and above is about 86 percent. How to read a literacy rateIn order to identify potential for intellectual and educational progress, the literacy rate of a country covers the level of education and skills acquired by a country’s inhabitants. Literacy is an important indicator of a country’s economic progress and the standard of living – it shows how many people have access to education. However, the standards to measure literacy cannot be universally applied. Measures to identify and define illiterate and literate inhabitants vary from country to country: In some, illiteracy is equated with no schooling at all, for example. Writings on the wallGlobally speaking, more men are able to read and write than women, and this disparity is also reflected in the literacy rate in India – with scarcity of schools and education in rural areas being one factor, and poverty another. Especially in rural areas, women and girls are often not given proper access to formal education, and even if they are, many drop out. Today, India is already being surpassed in this area by other emerging economies, like Brazil, China, and even by most other countries in the Asia-Pacific region. To catch up, India now has to offer more educational programs to its rural population, not only on how to read and write, but also on traditional gender roles and rights.

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