Dataset Overview

This dataset consists of scraped sentiment data from Twitter (X) and Reddit related to the Russia-Ukraine conflict.

Data Collection Methodology

• Tool Used: SNScrape

• Platforms**:Twitter (X) and Reddit

• Sample Size: Twitter: Approximately 10,000 tweets Reddit: Approximately 11,000 comments

• Time Period: January 2022 to April 2023

Data Collection Strategy

• Twitter Data Divided into six time periods to avoid temporal bias Captures sentiment trends over the duration of the conflict Ensures representation of evolving public opinion

** Search Parameters**

Keywords used for data collection included: "Russia Ukraine war" "war in Ukraine" "Russia invades Ukraine" "Ukraine war"

Note to Users

This dataset provides a comprehensive view of public sentiment on social media regarding the Russia-Ukraine conflict. It's designed to support various analyses, including sentiment analysis, trend identification, and public opinion research.

This dataset is a subset of the larger (🌇Sunset) 🇺🇦 Ukraine Conflict Twitter Dataset, available on Kaggle, focusing specifically on tweets related to the ongoing conflict between Ukraine and Russia.

Data Source: The data was originally collected from the Twitter API by Creator. The dataset contains tweets spanning a significant timeframe, capturing public sentiment, news updates, and discussions related to the conflict between Ukraine and Russia.

File Size and Format: Given the extensive size of the original dataset (approximately 48GB), we've extracted and curated a smaller subset of approximately 4GB, focusing specifically on tweets relevant to the Ukraine conflict. The files have been renamed for ease of access and loading, making them more manageable for analysis and exploration.

Usage: Researchers, data scientists, and analysts interested in studying the discourse surrounding the Ukraine-Russia conflict, social media sentiment analysis, or geopolitical dynamics may find this dataset particularly valuable. It can be used for tasks such as sentiment analysis, topic modeling, trend analysis, and understanding public perceptions and reactions to unfolding events.

Disclaimer: While efforts have been made to ensure the accuracy and relevance of the data, users are encouraged to exercise caution and verify the information as Twitter data can be subject to biases, noise, and misinformation. Additionally, please adhere to Twitter's terms of service and guidelines when using this dataset for research or analysis purposes.

Since 2008, KIIS has been tracking public opinion in Ukraine regarding Russia by asking the question 'What is your general attitude towards Russia now?' with a 4-point scale from 'very good' to 'very bad.' To gain a deeper understanding of the situation, every few years the surveys also included additional questions about attitudes towards Russians (residents of Russia) and the Russian leadership. Each survey wave in Ukraine was carried out on a sample representative of Ukraine's adult population (aged 18 and older), with an average sample size of about 2,000 respondents. The merged dataset contains data from 49 waves of the survey conducted in Ukraine from 2008 to 2022 with a total of 98,575 respondents. The background information includes respondents' socio-demographic profiles (gender, age, education, nationality, occupation, self-assessment of financial situation) and place of residence (oblast, type of settlement). These data enable tracking Ukrainian public opinion regarding Russia for the period of 14 years, from 2008 to 2022, both among the population as a whole and among its different subpopulations. This monitoring of public opinion in Ukraine on Russia is a part of a joint project with the Levada Center, which simultaneously tracked public opinion in Russia on Ukraine, using the same question wording. However, only the data from the polls conducted in Ukraine are presented in this data collection.

Since the early 1990s, KIIS has systematically polled the question "How would you like to see Ukraine's relations with Russia?" to estimate Ukrainian preferences regarding these relations. The answer options provided to respondents were: "They should be the same as with other states - with closed borders, visas, customs"; "Ukraine and Russia should be independent but friendly states - with open borders, no visas, and no customs"; "Ukraine and Russia should unite into one state." Each survey wave was carried out on a sample representative of the Ukraine's adult population (aged 18 and older), with an average sample size of about 2,000 respondents. To facilitate analysis, the results of the individual survey waves from 1993 to 2023 were merged into a single dataset, including 82 polls with a total of 166,314 respondents. The background information includes respondents' socio-demographic profiles (gender, age, education, nationality, occupation, self-assessment of financial situation) and place of residence (oblast, type of settlement). These data enable tracking Ukrainian public opinion on what the relationship between the Ukraine and Russia should be like, from Ukraine's independence to the 2023, both among the population as a whole and among its different subpopulations.

The data is sourced from Tongdaxin(https://www.tdx.com.cn/data_center.html) and Wind(https://www.wind.com.cn/) databases, with the daily index closing prices serving as the raw data. The data covers the time span from January 1, 2020, to June 30, 2024. Considering the potential inconsistencies in the timing of the data points, the method of taking the intersection of time periods was employed, resulting in a final dataset size of 1079 for each variable.

Overview This repository contains two datasets that were collected and processed as part of a study on public perception of environmental issues and climate change in Ukraine. The datasets are derived from Ukrainian Telegram news channels and include metadata, raw text, and user reactions to posts related to climate events and environmental topics. These datasets are intended to support academic research on the relationship between public discourse, user sentiment, and climate indicators. The datasets are located in the data folder with respect to their extension: csv and parquet. If you decide to read the climate_text_data_final in CSV format, please set the encoding to utf-16. Datasets climate_text_data_final This dataset contains raw text data from Telegram posts, along with additional metadata. It provides a comprehensive view of the content and context of climate-related discussions. The dataset can be joined with the final_reactions_data based on the channel_name and message_id. Please ensure the encoding is set to utf-16 when reading the CSV format of the dataset. Key Features: Post ID: Unique identifier for each Telegram post. Channel Name: The name of the Telegram channel where the post was published. Text: The raw text of the Telegram post. Metadata: Includes timestamp, number of views, and number of forwards. Purpose: This dataset is designed to support natural language processing (NLP) tasks, such as topic modeling, named entity recognition, and sentiment analysis. It provides a foundation for understanding the themes and narratives surrounding climate change and environmental issues in Ukrainian online information space. final_reactions_data This dataset contains user reactions to Telegram posts, represented as emoji counts. It provides a detailed view of how users engage with climate-related content. Key Features: Post ID: Unique identifier for each Telegram post. Channel Name: The name of the Telegram channel where the post was published. Emoji Reactions: Columns representing counts of various emojis used to react to the post. Is NA: A boolean value showing whether the emoji reaction columns have NaN or at least one non-NA value. Purpose: This dataset enables researchers to analyze user sentiment and engagement with climate-related content. It can be used to identify patterns in public reactions to environmental issues and assess the emotional tone of the discourse. The emojis can be classified into categories to reduce dimensionality and work with a combined representation of emojis. Further, statistics on particular emoji class can be generated. This will lead to a solid understanding of user engagement patterns. Research Context The datasets were collected as part of a study aimed at understanding public attitudes toward environmental issues and exploring the relationship between public perception and climate indicators, especially in the period of the full-scale Russian aggression against Ukraine. The study focused on Telegram channels due to their popularity and influence in Ukraine. The research objectives included: Developing a methodology for automated data collection from Ukrainian Telegram channels on climate-related topics. Conducting a comprehensive analysis of the collected data using natural language processing and statistical methods to identify key topics, trends, and patterns. Investigating the relationship between message characteristics and user reactions to determine factors influencing public perception of environmental issues. The study analyzed content from seven influential Telegram news channels: DW Ukraine, BBC Ukrainian, Ukrayinska Pravda, Voice of America, Radio Liberty, Babel, and ZN.UA. These channels were selected based on their audience size, credibility, and regularity of coverage of environmental issues. The data collection period spanned five years (01.01.2020 - 14.01.2025), allowing for an analysis of trends over time, including the impact of the Russian war in Ukraine on public discourse. Ethical Considerations The datasets do not contain any personally identifiable information (PII). However, we acknowledge that the dataset may contain sensitive content due to the nature of the data. Some records may describe war-related activities, destruction, harm, or other sensitive topics. We have made every effort to remain unbiased in collecting data from the selected channels and have not censored any content. The dataset will undergo ethical clearance at Lviv Polytechnic National University to ensure compliance with ethical standards and guidelines for data collection, processing, and usage. This process aims to address potential concerns related to sensitive content and ensure the responsible use of the dataset in academic research. Recommendations for Ethical Use: Fairness and Bias: Evaluate results with fairness metrics to ensure that analyses are not biased or discriminatory. Transparency: Use tools for interpretability and explainability to ensure...

The dataset includes responses from two waves of online surveys targeting local self-government representatives in Ukraine, with a focus on crisis governance during the ongoing Russian war. The first wave was conducted from August 30 to September 20, 2022, by the Congress of Local and Regional Authorities of the Council of Europe, yielding 241 responses (16% of all Ukrainian local communities). The second wave was conducted by Kyiv School of Economics from January 1 to March 12, 2024, with 181 responses (14% of government-controlled municipalities). Data formats include CSV and SAV files, along with an XSL codebook for both waves. The merged dataset comprises 442 responses from small, medium, and large municipalities under varied security conditions, with a total file size of approximately 4 MB.

KIIS monitors the geopolitical preferences of the Ukrainian population by asking respondents about their readiness to act in a certain way (vote for, against, or not to participate in the vote) in a hypothetical situation, namely, if a referendum on Ukraine's accession to the European Union, NATO, the Union with Russia and Belarus, or the Customs Union (with Russia, Belarus, Kazakhstan) were held now. In addition to these questions, some polls also ask respondents which direction of foreign policy they consider more preferable, with the options "accession to the European Union", "accession to the Customs Union of Russia, Belarus, Kazakhstan, Kyrgyzstan" and "not joining either the European Union or the Customs Union". This wording of the question enables evaluating the broader attitudes of the population regarding the geopolitical direction without requiring a definitive choice (such as voting for or against a specific option). Each survey wave was carried out on a sample representative of Ukraine's adult population (aged 18 and older), with an average sample size of about 2,000 respondents. In order to facilitate the analysis, the data collected for the period 2005-2022 was combined into one data set, including 31 polls with a total of 62,911 respondents. The background information includes respondents' socio-demographic profiles (gender, age, education, nationality, occupation, self-assessment of financial situation) and place of residence (oblast, type of settlement). These data enable tracking Ukrainian public opinion on the desired course of the Ukraine's foreign policy for the period of 17 years, from 2005 to 2022, both among the population as a whole and among its different subpopulations.

This dataset, DSI-6411 is comprised of soil moisture data and the accompanying information for the agricultural regions of Western Russia (west of ~ 60E) and The Ukraine for the period from 1992 to 1996. These data are collected routinely for agro-meteorological monitoring of these two countries and serve as an input for the in-situ assessment of the state of the major crops.

EUROPOP2023 are the latest Eurostat long-term population projections produced at national level for 30 countries: all 27 European Union (EU) Member States and three European Free Trade Association (EFTA) countries (Iceland, Norway, and Switzerland), covering the time horizon from 2022 to 2100. Population projections are 'what-if scenario' that aim to show the hypothetically developments of the population size and structure based on a set of assumptions regarding fertility, mortality, and net migration. They are presented for a long time period that covers more than a half-century (50 years).

The datasets consist of the baseline population projections and five sensitivity tests, which are described as follows:

• no migration – it is assumed that net migration is zero for each year within the 2023-2100 time horizon;
• lower migration – it is assumed that the net migration is lower due to a 33% reduction in non-EU immigration flows for each year within the 2023-2100 time horizon;
• higher migration – it is assumed that the net migration is higher due to a 33% increase in non-EU immigration flows for each year within the 2023-2100 time horizon;
• lower fertility – it is assumed that the fertility rates are lower 20% than the baseline assumptions for each year within the 2023-2100 time horizon;
• lower mortality – it is assumed that the mortality rates are lower resulting in an increase of approximately two years in life expectancy at birth by 2070 compared to the baseline assumptions.

In each sensitivity test, the assumptions for the year 2022 were maintained as in the baseline projections. This is because, for that year, there is a combination of observed data (i.e. beneficiaries on temporary protections at the end of December 2022), information from the national authorities, and forecasting.

Data are available by single-year time interval, as detailed below:

• Projected population on 1 January by age and sex;
• Assumptions on future age-specific fertility rates, age-specific mortality rates and net migration levels;
• Projected life expectancy by age (in completed years) and sex.

Additionally, the demographic balances and indicators are available for the baseline projections and each of the five sensitive variants, including also:

• Total numbers of the projected live births and deaths;
• Projected population structure indicators including proportions of broad age groups in total population, age dependency ratios and median ages of the population (for each sex component).

STP2024 are the short-term population projections covering the time horizon from 2023 to 2050, and produced at national level for 30 countries: all 27 European Union (EU) Member States and three European Free Trade Association (EFTA) countries (Iceland, Norway, and Switzerland). Similar to long-term projections, these are 'what-if scenario' that aim to show the hypothetically developments of the population size and structure based on a set of assumptions regarding fertility, mortality and net migration. The latest demographic data published on Eurostat website, as of 06 September 2024, were used as input in building the assumptions, thereby including the published post-2021 census revisions and data related to the temporary protection granted to persons displaced from Ukraine due to Russia's invasion.

The dataset (proj_stp24) includes data by single-year time interval for two types of projections:

• Baseline projections:
  • Projected total population on 1 January, the working-age population (defined as persons aged from 15 to 74), and its share in the total population;
  • Assumptions on total fertility rates, life expectancy at birth by sex, and total net migration levels;
  • Total numbers of projected live births and deaths.

• No migration sensitivity test – it is assumed that the net migration is zero for each year within the 2024-2050 time horizon.
  • Projected total population on 1 January, the working-age population (defined as persons aged from 15to 74), and its share in the total population;
  • The 2023 net migration levels remain the same as in the baseline projections to reflect the nowcast data;
  • Total numbers of projected live births and deaths.

STP2025 are the latest short-term population projections covering the time horizon from 2024 to 2050, produced at national level for 30 countries: all 27 European Union (EU) Member States and three European Free Trade Association (EFTA) countries (Iceland, Norway, and Switzerland). Similar to long-term projections, these are 'what-if scenario' that aim to show the hypothetically developments of the population size and structure based on a set of assumptions regarding fertility, mortality, and net migration. The latest demographic data published on Eurostat website as of 15 May 2025, were used as input in building the assumptions, thereby including the published post-2021 census revisions and data related to temporary protection granted to persons displaced from Ukraine due to Russia's invasion.

The dataset (proj_stp25) includes data by single-year time interval for two types of projections:

• Baseline projections:
  • Projected total population on 1 January, working-age population (15-74 years) and its share in the total population;
  • Assumptions on total fertility rates, life expectancy at birth by sex, and total net migration levels;
  • Total numbers of projected live births and deaths.

• No migration sensitivity test – it is assumed that the net migration is zero in each year of the 2025-2050 time horizon.
  • Projected total population on 1 January, working-age population (15-74 years) and its share in the total population;
  • The 2024 net migration levels remain as in the baseline projections to reflect the nowcast data;
  • Total numbers of projected live births and deaths.

Context

In order to create assistant for the content-advertising system, there was an automated generator advert content. So a lot of ads were collected from a popular search engine (only for Russian ads campaign). (if someone interesting in, i can upload full 40+GB data)

Content

The database was collected from open public sources and contains ads from regions of Russia, Ukraine, Belarus, Kazakhstan and the major cities of these countries.

Unique items: 800 000 (part1) Total size about 15MM

Acknowledgements

The database was collected in October 2016 - January 2017. No one was harmed when collecting the database (the program does not click on the ads).

Inspiration

Try to search patterns in the ads, and develop an automatic text generator for ad systems.

Special research wave of the research series "How are you, Slovakia?" was a reaction to the attack of the Russian Federation troops on Ukraine and was fielded between 25 February and 1 March 2022. The war in Ukraine began in the early hours of 24 February with the invasion of Russian troops into Ukraine. Since the beginning of the invasion, attacks on military and non-military targets and civilian casualties have been reported. Most of the Western world, as well as the European Union, has condemned the Russian aggression and imposed tough economic sanctions. Thousands of war refugees began to arrive in Slovakia from the territory of Ukraine. The survey monitors respondents' fears of war, willingness to help refugees, and preferred response to the attack on Ukraine. It also ascertains respondents' geopolitical orientation, views on responsibility for the war conflict, and attitudes toward NATO. The survey is the first special research wave within “How Are You, Slovakia?” and was conducted in parallel with the thirteenth regular research wave of the “How Are You, Slovakia?” survey series. How are you, Slovakia? Online interviews - CAWI Adult inhabitants of Slovakia (18+) with access to the internet The survey used a quota sample from the MNFORCE online panel. The sample was designed as representative for the following socio-demographic variables: gender, age, county (kraj), size of settlement and education of respondent. Only population with access to the internet is covered by the survey. This means that mostly older persons without internet access are missing from the sample.

The USD/RUB exchange rate fell to 77.1688 on December 2, 2025, down 0.72% from the previous session. Over the past month, the Russian Ruble has strengthened 4.39%, and is up by 26.50% over the last 12 months. Russian Ruble - values, historical data, forecasts and news - updated on December of 2025.

The survey monitors respondents' attitudes towards the war in Ukraine and the reception of refugees from Ukraine, as well as geopolitical orientations and attitudes towards NATO. The survey also includes questions on political preferences, interest in politics, trust in institutions and overall concerns. The survey also ascertains religiosity, preferred sources of information, attitudes towards the European Union Recovery Instrument and the safety of nuclear power plants. At the time of data collection, the war in Ukraine, which began in February 2022 with the invasion of Russian troops, was ongoing. There were discussions about the adoption of further sanctions against the Russian Federation, rising energy and commodity prices, and staff shortages in Slovak ambulances and hospitals. The survey is the fifteenth in the How are you, Slovakia?survey series. How Are You, Slovakia? Online interviews - CAWI Adult inhabitants of Slovakia (18+) with access to the internet The survey used a quota sample from the MNFORCE online panel. The sample was designed as representative for the following socio-demographic variables: gender, age, county (kraj), size of settlement and education of respondent. Only population with access to the internet is covered by the survey. This means that mostly older persons without internet access are missing from the sample.

Russia's main stock market index, the MOEX, fell to 2681 points on December 2, 2025, losing 0.20% from the previous session. Over the past month, the index has climbed 4.30% and is up 5.58% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Russia. Russia Stock Market Index MOEX CFD - values, historical data, forecasts and news - updated on December of 2025.

The yield on Russia 10Y Bond Yield rose to 14.35% on December 1, 2025, marking a 0.02 percentage points increase from the previous session. Over the past month, the yield has fallen by 0.23 points and is 1.82 points lower than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. Russia 10-Year Government Bond Yield - values, historical data, forecasts and news - updated on December of 2025.