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Dataset Card for "imdb"
Dataset Summary
Large Movie Review Dataset. This is a dataset for binary sentiment classification containing substantially more data than previous benchmark datasets. We provide a set of 25,000 highly polar movie reviews for training, and 25,000 for testing. There is additional unlabeled data for use as well.
Supported Tasks and Leaderboards
More Information Needed
Languages
More Information Needed
Dataset Structure… See the full description on the dataset page: https://huggingface.co/datasets/stanfordnlp/imdb.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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The IMF has a great inflation database, but it relies on countries to provide their latest data to the IMF, and as such, it can be temporarily out of date. This database will keep the IMF inflation database up to date for African countries by scraping data from individual countries' websites as soon as they release their data and combining it with the latest IMF data. This Africa inflation database powers the ADH Inflation Observer. All 3 datasets found here contain the same data, but in different shapes to suit different applications.
ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
License information was derived automatically
IMF World Economic Outlook (WEO) database. The IMF World Economic Outlook is a twice-yearly survey by IMF staff that presents IMF staff economists' analyses of global economic developments during th...
The IMDb Movie Reviews dataset is a binary sentiment analysis dataset consisting of 50,000 reviews from the Internet Movie Database (IMDb) labeled as positive or negative. The dataset contains an even number of positive and negative reviews. Only highly polarizing reviews are considered. A negative review has a score ≤ 4 out of 10, and a positive review has a score ≥ 7 out of 10. No more than 30 reviews are included per movie. The dataset contains additional unlabeled data.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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MD: IMF Account: Fund Position: USD: Fund Holdings of Currency data was reported at 427.143 USD mn in Aug 2018. This records a decrease from the previous number of 434.413 USD mn for Jul 2018. MD: IMF Account: Fund Position: USD: Fund Holdings of Currency data is updated monthly, averaging 0.000 USD mn from Jan 1945 (Median) to Aug 2018, with 884 observations. The data reached an all-time high of 445.365 USD mn in Jan 2018 and a record low of 0.000 USD mn in Oct 1992. MD: IMF Account: Fund Position: USD: Fund Holdings of Currency data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Moldova – Table MD.IMF.IFS: IMF Account: Fund Position.
The Currency Composition ofOfficial Foreign Exchange Reserves(COFER) database is managed by the Statistics Department of the International Monetary Fund (IMF). The COFER website disseminates end-of-period quarterly data on COFER in the format of statistical aggregates. The currencies identified in COFER are: U.S. dollar, Pound sterling, Japanese yen, Swiss francs, Canadian dollar, Australian dollar, and Euro. All other currencies are indistinguishably included in the category of “other currencies.” Prior to the introduction of Euro in 1999,several European currencieswere separately identified in COFER. COFER data are reported to the IMF on a voluntary and confidential basis. COFER data for individual countries are strictly confidential. The data published on this website are aggregates for each currency for three groupings of countries (total,advanced economies, andemerging and developing economies).
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Vietnam VN: IMF Account: Fund Position: Reserve Position in the Fund data was reported at 0.005 XDR mn in 2017. This stayed constant from the previous number of 0.005 XDR mn for 2016. Vietnam VN: IMF Account: Fund Position: Reserve Position in the Fund data is updated yearly, averaging 0.005 XDR mn from Dec 1945 (Median) to 2017, with 73 observations. The data reached an all-time high of 15.510 XDR mn in 1970 and a record low of 0.000 XDR mn in 1981. Vietnam VN: IMF Account: Fund Position: Reserve Position in the Fund data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Vietnam – Table VN.IMF.IFS: IMF Account: Fund Position: Annual.
As of April 2025, China's reserve position in the International Monetary Fund (IMF) amounted to about ***** billion U.S. dollars, increasing from around **** billion U.S. dollars in March 2024.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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IMF repurchases and charges (TDS, current US$) in Mauritania was reported at 18069694 USD in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Mauritania - IMF repurchases and charges (TDS, current US$) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.
The International Financial Statistics database covers about 200 countries and areas, with some aggregates calculated for selected regions, plus some world totals. Topics covered include balance of payments, commodity prices, exchange rates, fund position, government finance, industrial production, interest rates, international investment position, international liquidity, international transactions, labor statistics, money and banking, national accounts, population, prices, and real effective exchange rates.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Multilateral loans, IMF in Togo was reported at 401454371 in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Togo - Multilateral loans, IMF - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.
As of January 2025, the value of China's special drawing right by the International Monetary Fund (IMF) equaled to 52 billion U.S. dollars. The value of an SDR is based on a basket of key international currencies including the U.S. dollar, euro, Chinese yuan, Japanese yen and British pound.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Use of IMF credit (DOD, current US$) in China was reported at 48576699224 USD in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. China - Use of IMF credit (DOD, current US$) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Multilateral loans, IMF in Tonga was reported at 17997058 in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Tonga - Multilateral loans, IMF - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Multilateral loans, IMF in Angola was reported at 3782620760 in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Angola - Multilateral loans, IMF - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.
Contains 180 time series and 65 indicators that are expressed as ratios to GDP, land area, or adult population to facilitate cross-economy comparisons. Provision of FAS data is voluntary.
This dataset provides a comprehensive view of government revenue, including detailed classifications of taxes, social contributions, grants receivable, and other revenue.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Thailand TH: IMF Account: Fund Position: USD: Quota data was reported at 4.518 USD bn in Jun 2018. This records a decrease from the previous number of 4.670 USD bn for Mar 2018. Thailand TH: IMF Account: Fund Position: USD: Quota data is updated quarterly, averaging 294.701 USD mn from Mar 1945 (Median) to Jun 2018, with 294 observations. The data reached an all-time high of 4.670 USD bn in Mar 2018 and a record low of 0.000 USD mn in Mar 1949. Thailand TH: IMF Account: Fund Position: USD: Quota data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Thailand – Table TH.IMF.IFS: IMF Account: Fund Position: Quarterly.
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Graph and download economic data for Claims on Private Sector for Ethiopia (ETHFDSAOPPCPPPT) from 2000 to 2024 about Ethiopia, REO, credits, sector, private, and rate.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Brazil BR: IMF Account: Fund Position: Quota data was reported at 11,042.000 XDR mn in 2024. This stayed constant from the previous number of 11,042.000 XDR mn for 2023. Brazil BR: IMF Account: Fund Position: Quota data is updated yearly, averaging 1,461.300 XDR mn from Dec 1945 (Median) to 2024, with 80 observations. The data reached an all-time high of 11,042.000 XDR mn in 2024 and a record low of 0.000 XDR mn in 1945. Brazil BR: IMF Account: Fund Position: Quota data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Brazil – Table BR.IMF.IFS: IMF Account: Fund Position: Annual.
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Dataset Card for "imdb"
Dataset Summary
Large Movie Review Dataset. This is a dataset for binary sentiment classification containing substantially more data than previous benchmark datasets. We provide a set of 25,000 highly polar movie reviews for training, and 25,000 for testing. There is additional unlabeled data for use as well.
Supported Tasks and Leaderboards
More Information Needed
Languages
More Information Needed
Dataset Structure… See the full description on the dataset page: https://huggingface.co/datasets/stanfordnlp/imdb.