According to a Chinese survey conducted in December 2020, fatigue, pressure, and anxiety almost became a universal emotional problem, as more than *********** respondents experienced these issues within six months before the survey. Other negative emotions were also widespread, with *********** reporting desperation, and ********************* reporting loneliness.

Graph and download economic data for Outstanding Total International Debt Securities to GDP for China (DDDM07CNA156NWDB) from 1987 to 2020 about issues, China, debt, and GDP.

According to a survey conducted in 2021 on Chinese cross-border e-commerce companies, almost 40 percent of the surveyed companies were affected by the rising shipping costs or logistics interruption. Order cancellation was another major issue facing these companies.

Graph and download economic data for Net Issues of International Debt Securities for Issuers in General Government Sector, All Maturities, Residence of Issuer in China (IDSGAMRINICN) from Q4 1987 to Q1 2025 about issues, China, sector, maturity, debt, residents, securities, Net, and government.

China Treasury Bond: Issue Date: Coupon Rate: Interest-bearing Book-entry: 10 Year data was reported at 3.250 % pa in 21 Nov 2018. This records a decrease from the previous number of 3.540 % pa for 24 Oct 2018. China Treasury Bond: Issue Date: Coupon Rate: Interest-bearing Book-entry: 10 Year data is updated daily, averaging 3.520 % pa from Aug 2004 (Median) to 21 Nov 2018, with 106 observations. The data reached an all-time high of 4.860 % pa in 09 Aug 2004 and a record low of 2.340 % pa in 14 Jul 2006. China Treasury Bond: Issue Date: Coupon Rate: Interest-bearing Book-entry: 10 Year data remains active status in CEIC and is reported by China Central Depository & Clearing Co., Ltd. The data is categorized under China Premium Database’s Money Market, Interest Rate, Yield and Exchange Rate – Table CN.MF: CCDC: Treasury Bond Yield: Primary Market: Daily.

Graph and download economic data for Net Issues of International Debt Securities for All Issuers, All Maturities, Residence of Issuer in China (IDSAMRINICN) from Q3 1980 to Q1 2025 about issues, China, maturity, debt, residents, securities, and Net.

Math23K is a dataset created for math word problem solving, contains 23, 162 Chinese problems crawled from the Internet. Refer to our paper for more details: The dataset is originally introduced in the paper Deep Neural Solver for Math Word Problems. The original files are originally split into train/test split, while other research efforts (https://github.com/2003pro/Graph2Tree) perform the train/dev/test split.

China Postal: Number of Issue: Newspaper data was reported at 95.989 Unit mn in 2010. This records an increase from the previous number of 75.927 Unit mn for 2009. China Postal: Number of Issue: Newspaper data is updated yearly, averaging 97.552 Unit mn from Dec 1995 (Median) to 2010, with 16 observations. The data reached an all-time high of 145.935 Unit mn in 1999 and a record low of 72.195 Unit mn in 2007. China Postal: Number of Issue: Newspaper data remains active status in CEIC and is reported by State Post Bureau. The data is categorized under China Premium Database’s Transportation and Storage Sector – Table CN.TK: Postal.

This data package includes the underlying data and files to replicate the calculations, charts, and tables presented in WTO'ing a Resolution to the China Subsidy Problem, PIIE Working Paper 19-17.

If you use the data, please cite as: Bown, Chad P., and Jennifer A. Hillman. (2019). WTO'ing a Resolution to the China Subsidy Problem. PIIE Working Paper 19-17. Peterson Institute for International Economics.

China FAI: Source of Fund: YoY: Year to Date: Self Raised: Share Issue data was reported at 0.000 % in Dec 2011. This stayed constant from the previous number of 0.000 % for Nov 2011. China FAI: Source of Fund: YoY: Year to Date: Self Raised: Share Issue data is updated monthly, averaging 0.000 % from Apr 2007 (Median) to Dec 2011, with 56 observations. The data reached an all-time high of 0.000 % in Dec 2011 and a record low of 0.000 % in Dec 2011. China FAI: Source of Fund: YoY: Year to Date: Self Raised: Share Issue data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Investment – Table CN.OC: Fixed Asset Investment: Source and Use of Fund.

In a survey conducted in November 2024 among online food delivery service users in the lower-tier cities in China, slightly more than **** of the respondents said that the main problem they encountered when ordering food delivery was food quality. In addition, around ** percent complained about order errors.

China Other Depository Corp: Liab: Bond Issue data was reported at 26,384.738 RMB bn in Mar 2019. This records an increase from the previous number of 25,538.756 RMB bn for Dec 2018. China Other Depository Corp: Liab: Bond Issue data is updated quarterly, averaging 4,676.983 RMB bn from Dec 1999 (Median) to Mar 2019, with 78 observations. The data reached an all-time high of 26,384.738 RMB bn in Mar 2019 and a record low of 635.460 RMB bn in Dec 1999. China Other Depository Corp: Liab: Bond Issue data remains active status in CEIC and is reported by The People's Bank of China. The data is categorized under China Premium Database’s Money and Banking – Table CN.KC: Balance Sheet: Other Depository Corporation: Quarterly.

Basic research is believed to be a crucial factor for building national innovation capacity and therefore was perceived as a key battleground for national technological and economic competition. Since the economic reform and opening up in the late 1970s, China has made great achievements in building up its national research system. However, the lacking capabilities to conduct ground-breaking scientific work remain one of the daunting challenges for the country. How to restructure its funding system for basic research so to reinvigorate its indigenous innovation capacity has been one of the main concerns for the Chinese government in recent years. To address this, the paper proposes a conceptual framework to analyze how China’s central government funding system for basic research has evolved since 1985. The paper concludes with a discussion of the identified problems and challenges that China is facing in its current funding system for basic research.

Kweichow Moutai struggles with declining demand and economic pressures in China, impacting its market value and Guizhou's economic stability.

What’s Included

Welcome to the Chinese Chain of Thought prompt-response dataset, a meticulously curated collection containing 3000 comprehensive prompt and response pairs. This dataset is an invaluable resource for training Language Models (LMs) to generate well-reasoned answers and minimize inaccuracies. Its primary utility lies in enhancing LLMs' reasoning skills for solving arithmetic, common sense, symbolic reasoning, and complex problems.

This COT dataset comprises a diverse set of instructions and questions paired with corresponding answers and rationales in the Chinese language. These prompts and completions cover a broad range of topics and questions, including mathematical concepts, common sense reasoning, complex problem-solving, scientific inquiries, puzzles, and more.

Each prompt is meticulously accompanied by a response and rationale, providing essential information and insights to enhance the language model training process. These prompts, completions, and rationales were manually curated by native Chinese people, drawing references from various sources, including open-source datasets, news articles, websites, and other reliable references.

Our chain-of-thought prompt-completion dataset includes various prompt types, such as instructional prompts, continuations, and in-context learning (zero-shot, few-shot) prompts. Additionally, the dataset contains prompts and completions enriched with various forms of rich text, such as lists, tables, code snippets, JSON, and more, with proper markdown format.

To ensure a wide-ranging dataset, we have included prompts from a plethora of topics related to mathematics, common sense reasoning, and symbolic reasoning. These topics encompass arithmetic, percentages, ratios, geometry, analogies, spatial reasoning, temporal reasoning, logic puzzles, patterns, and sequences, among others.

These prompts vary in complexity, spanning easy, medium, and hard levels. Various question types are included, such as multiple-choice, direct queries, and true/false assessments.

To accommodate diverse learning experiences, our dataset incorporates different types of answers depending on the prompt and provides step-by-step rationales. The detailed rationale aids the language model in building reasoning process for complex questions.

These responses encompass text strings, numerical values, and date and time formats, enhancing the language model's ability to generate reliable, coherent, and contextually appropriate answers.

This fully labeled Chinese Chain of Thought Prompt Completion Dataset is available in JSON and CSV formats. It includes annotation details such as a unique ID, prompt, prompt type, prompt complexity, prompt category, domain, response, rationale, response type, and rich text presence.

Our dataset upholds the highest standards of quality and accuracy. Each prompt undergoes meticulous validation, and the corresponding responses and rationales are thoroughly verified. We prioritize inclusivity, ensuring that the dataset incorporates prompts and completions representing diverse perspectives and writing styles, maintaining an unbiased and discrimination-free stance.

The Chinese version is grammatically accurate without any spelling or grammatical errors. No copyrighted, toxic, or harmful content is used during the construction of this dataset.

The entire dataset was prepared with the assistance of human curators from the FutureBeeAI crowd community. Ongoing efforts are made to add more assets to this dataset, ensuring its growth and relevance. Additionally, FutureBeeAI offers the ability to gather custom chain of thought prompt completion data tailored to specific needs, providing flexibility and customization options.

The dataset, created by FutureBeeAI, is now available for commercial use. Researchers, data scientists, and developers can leverage this fully labeled and ready-to-deploy Chinese Chain of Thought Prompt Completion Dataset to enhance the rationale and accurate response generation capabilities of their generative AI models and explore new approaches to NLP tasks.

China Postal: Number of Issue: Magazine data was reported at 75.594 Unit mn in 2010. This records an increase from the previous number of 63.168 Unit mn for 2009. China Postal: Number of Issue: Magazine data is updated yearly, averaging 76.339 Unit mn from Dec 1995 (Median) to 2010, with 16 observations. The data reached an all-time high of 104.417 Unit mn in 1999 and a record low of 58.111 Unit mn in 2007. China Postal: Number of Issue: Magazine data remains active status in CEIC and is reported by State Post Bureau. The data is categorized under China Premium Database’s Transportation and Storage Sector – Table CN.TK: Postal.

This data package includes the underlying data and files to replicate the calculations, charts, and tables presented in China, Like the US, Faces Challenges in Achieving Inclusive Growth Through Manufacturing, PIIE Policy Brief 19-11. If you use the data, please cite as: Lawrence, Robert Z. (2019). China, Like the US, Faces Challenges in Achieving Inclusive Growth Through Manufacturing. PIIE Policy Brief 19-11. Peterson Institute for International Economics.

China State-Owned Capital Management Expenditure: Central: Resolving Historical Problem and Reforming Cost data was reported at 10,315.000 RMB mn in 2024. This records a decrease from the previous number of 10,789.000 RMB mn for 2023. China State-Owned Capital Management Expenditure: Central: Resolving Historical Problem and Reforming Cost data is updated yearly, averaging 20,982.000 RMB mn from Dec 2016 (Median) to 2024, with 9 observations. The data reached an all-time high of 79,677.000 RMB mn in 2016 and a record low of 10,315.000 RMB mn in 2024. China State-Owned Capital Management Expenditure: Central: Resolving Historical Problem and Reforming Cost data remains active status in CEIC and is reported by Ministry of Finance. The data is categorized under China Premium Database’s Government and Public Finance – Table CN.FAS: Final Account: State-Owned Capital Management Revenue & Expenditure: Central.

Graph and download economic data for Announced Issues of International Bonds and Notes for All Issuers, Nationality of Issuer in China (DISCONTINUED) (IBANAINIAICN) from Q3 1980 to Q2 2015 about issues, notes, China, and bonds.

Graph and download economic data for Net Issues of International Money Market instruments for All Issuers, Residence of Issuer in China (DISCONTINUED) (IMMIRINICN) from Q4 1993 to Q2 2015 about instruments, issues, MMMF, China, residents, and Net.