I’ve noticed many people find it tough to use Power Query or code for merging files. So I just made a tool that lets you easily combine them. It’s free to use, no sign up required. Hope it makes things a bit easier

Combine multiple tables vertically, even with different columns

https://www.doloader.com/sandbox/stack-tables

Merge tables by matching rows in specified columns

https://www.doloader.com/sandbox/join-tables

Hello for my master thesis i need to research a topic that is closely linked to international higher education. I know about pisa data set, but is focused on highschool and lower.

Does anybody know a good dataset that works with this topic?

Kind regards.

Hi all,

Looking for travel / tourism data sources/ statistics. I am able to find country wide stats, not for all but for Most, I would like to go a bit further, state level if possible. The ideal would be city level but that would be too granular for any data source to keep I guess. Still if anyone knows of where / how i can get this, it would be a great help

I have to work on a text mining project for school and need some recommendations of good and interesting topics to consider. Any recommendations?

Thank you all!

I’m working on a project where I aim to develop an AI model to predict combinational complexity and signal depth in RTL designs. The goal is to quickly identify potential timing violations without running a full synthesis by leveraging machine learning on RTL characteristics.

I’m looking for a dataset that includes: • RTL designs (Verilog/VHDL) • Synthesis reports with logic depth, critical path delay, gate count, and timing information • Netlist representations with signal dependencies (if available) • Any metadata linking RTL structures to synthesis results

If anyone knows of public datasets, academic sources, or industry benchmarks that could be useful, I’d greatly appreciate it!Thanks in advance!

Guys, I’m working on a project which I’m training a ML to auto detect Respiratory Sounds. I’m currently stuck at finding datasets which I can use to train my model. If anyone has any resource which might help kindly share here or DM. Thank you

…one that contains results from the administration of a psychological testing instrument. Would like to perform logistic regression on it. There is one on Kaggle (https://www.kaggle.com/code/mpwolke/autism-prediction-pycomp/input) which many folks use and it is NOT what I am looking for. Thanks.

Guys i want the dataset for a hackathon which they give theme to us.. i just paste the exact msg below what the said::

💡 Themes: 🌿 1. Plant Species Identification App – Build a mobile app to identify native Indian plants!
📢 No dataset will be provided for this theme – Participants need to showcase their data acquisition skills and collect relevant data as per the theme’s requirements.

… I try very hard but could not able to find it please please guys help🙏🙏🙏

Same as title

hey, if anyone can find a sample dataset in FRED format i’d be eternally grateful

I am working on a project on p2p transactive networks and I am looking for a dataset like the ones below. My institute unfortunately hasn’t subscribed to IEEE Dataport. Can someone who has an IEEE Dataport subscription help me out by using their precious time since I can’t afford an individual subscription.

Dataset 1

Dataset 2

Hi, I’m working on a fingerprint spoof detection model and I want to access Luvdet 2015 and 2013 fingerprint datasets. Any advice on how to get the dataset

Would you know of any place/website where i can find Waste segregation Image dataset – Be it paid Or free. I’ve already consumed from Kaggle

Hey everyone!

I’ve been working on PureML, a no-code AI platform that makes it easy for anyone to build ML models—no data science team required. We’ve built AI-powered data preprocessing, feature engineering, and model training, and we’re now working on deployment and more powerful AI enhancements.

Our MVP is live and free to try, and we’re looking for early adopters to help shape it! Some cool milestones so far:

✅ Featured on AI Accelerator Institute’s 2025 LLMOps Ecosystem Map
🏆 Winners of the LlamaIndex RAG-a-thon
🎤 Gave talks at GitHub, San Diego Python, and Austin Python
📢 Featured in LlamaIndex and Box blogs (LlamaIndex, Box)

Would love for you to check it out and share your thoughts! If you’re interested, you can join the waitlist here: https://pureml.io/

Always happy to chat—let me know what you think! 🚀

Hi! I’m looking for a data set for a library ideally containing what was checked out, what genre is was, the age of the person who checked it out. It would preferably be a csv file and it needs to be small enough to be able to be imported into Google Sheets (100MB/10 mil cells). If anyone knows of a data set like this please let me know!

Hello, I’ve been searching for latest raw datasets related to Ph but I couldn’t find any good source for it aside from Kaggle. Can you give me some sites where I can search for this? Thank u!

In the past there were these documents of the European Union:

Energy markets in the European Union in 2011 & 2024.

However it seems like they do not make them anymore. I could find the EU energy in figures Statistical pocketbook 2024, but it does not have the same data noted.

I am specifically looking for the electricity and gas market value for The Netherlands. Does anybody know where I can find it?

Disclaimer: We’re building a data science tool that lets you upload csv datasets and interact with your data using conversational AI. You can prompt the AI to clean and preprocess data, generate visualizations, run analysis models, and create pdf reports—all while seeing the python scripts running under the hood.

Try out our beta here: actuarialai.io

We’re shipping updates daily and are looking for more testers, so your feedback is greatly appreciated!(Note: The site isn’t optimized for mobile yet)

If you deal with documents and images and want to save time on parsing, analyzing, or describing them, PyVisionAI is for you. It unifies multiple Vision LLMs (GPT-4 Vision, Claude Vision, or local Llama2-based models) under one workflow, so you can extract text and images from PDF, DOCX, PPTX, and HTML—even capturing fully rendered web pages—and generate human-like explanations for images or diagrams.

Why It’s Useful

All-in-One: Handle text extraction and image description across various file types—no juggling separate scripts or libraries. Flexible: Go with cloud-based GPT-4/Claude for speed, or local Llama models for privacy. CLI & Python Library: Use simple terminal commands or integrate PyVisionAI right into your Python projects. Multiple OS Support: Works on macOS (via Homebrew), Windows, and Linux (via pip). No More Dependency Hassles: On macOS, just run one Homebrew command (plus a couple optional installs if you need advanced features).

Quick macOS Setup (Homebrew)

brew tap mdgrey33/pyvisionai brew install pyvisionai # Optional: Needed for dynamic HTML extraction playwright install chromium # Optional: For Office documents (DOCX, PPTX) brew install –cask libreoffice

This leverages Python 3.11+ automatically (as required by the Homebrew formula). If you’re on Windows or Linux, you can install via pip install pyvisionai (Python 3.8+).

Core Features (Confirmed by the READMEs)

Document Extraction PDFs, DOCXs, PPTXs, HTML (with JS), and images are all fair game. Extract text, tables, and even generate screenshots of HTML. Image Description Analyze diagrams, charts, photos, or scanned pages using GPT-4, Claude, or a local Llama model via Ollama. Customize your prompts to control the level of detail. CLI & Python API CLI: file-extract for documents, describe-image for images. Python: create_extractor(…) to handle large sets of files; describe_image_* functions for quick references in code. Performance & Reliability Parallel processing, thorough logging, and automatic retries for rate-limited APIs. Test coverage sits above 80%, so it’s stable enough for production scenarios.

Sample Code

from pyvisionai import create_extractor, describe_image_claude # 1. Extract content from PDFs extractor = create_extractor(“pdf”, model=”gpt4″) # or “claude”, “llama” extractor.extract(“quarterly_reports/”, “analysis_out/”) # 2. Describe an image or diagram desc = describe_image_claude( “circuit.jpg”, prompt=”Explain what this circuit does, focusing on the components” ) print(desc)

Choose Your Model

Cloud:export OPENAI_API_KEY=”your-openai-key” # GPT-4 Vision export ANTHROPIC_API_KEY=”your-anthropic-key” # Claude Vision Local:brew install ollama ollama pull llama2-vision # Then run: describe-image -i diagram.jpg -u llama

System Requirements

macOS (Homebrew install): Python 3.11+ Windows/Linux: Python 3.8+ via pip install pyvisionai 1GB+ Free Disk Space (local models may require more)

Want More?

Official Site: pyvisionai.com GitHub: MDGrey33/pyvisionai – open issues or PRs if you spot bugs! Docs: Full README & Usage Homebrew Formula: mdgrey33/homebrew-pyvisionai

Help Shape the Future of PyVisionAI

If there’s a feature you need—maybe specialized document parsing, new prompt templates, or deeper local model integration—please ask or open a feature request on GitHub. I want PyVisionAI to fit right into your workflow, whether you’re doing academic research, business analysis, or general-purpose data wrangling.

Give it a try and share your ideas! I’d love to know how PyVisionAI can make your work easier.

Hello,
I am masters of data science students and wish to do independent research study.
Need your suggestions for topics .

Hi,

I was reading the paper here:

https://openreview.net/pdf?id=9esVkGJLYv

I cannot seem to find the dataset linked on the main page: https://openreview.net/forum?id=9esVkGJLYv

Does anyone know if there is a way to access this dataset? I would be very interested in running some models on it.

So I am trying to train an AI to detect all the small miscellaneous stuff within a image, for example like keys,bottle cap, bottle, wrapping paper, broken glass, paper and I want to exclude larger items like chair, table, fan, sofa, etcs. This AI will first need to detect these items before picking them up via some mechanical system.

So much focus on better models, not nearly enough on better post training data. I recently came across Curator, open source tool for dataset generation and refinement. It seems promising for automating parts of the process, has anyone here tried it? Would love to hear thoughts!

Also curious—how do you all handle data generation? Any tools that have worked well please feel free to share

Hi, i’m trying to find a list of all the movie/tv series/miniseries etc. on imdb. i’ve found that when using the advanced search it brings up around 23,029,817 results. But when i look at a dataset like title.basics.tsv.gz it shows only 11,422,519 titles. do any of the imdb datasets contain all the titles on imdb?

I am in dire need of help finding a viable dataset for my research project. I am in my final semester of undergrad and have been tasked with a major research project which will soon need to be transferred into STATA but for now, I need to run basic descriptive statisitcs and come up with my hypothesis, research question, and equation. No matter what topic I bounce around I can’t seem to find data to back it up. For example, the effect of Conceal carry laws on crime rates. My professor wants the data to be on the county level with thousands of observations over years and years but that is just adding an extra layer of difficulty. Any ideas? I could use any direction for an interesting research question or useable/understandable data. I feel like this project could be easy if I have the right data and question (my prof also suggested starting with data as it could help make things easier

I am in dire need of help finding a viable dataset for my research project. I am in my final semester of undergrad and have been tasked with a major research project which will soon need to be transferred into STATA but for now, I need to run basic descriptive statisitcs and come up with my hypothesis, research question, and equation. No matter what topic I bounce around I can’t seem to find data to back it up. For example, the effect of Conceal carry laws on crime rates. My professor wants the data to be on the county level with thousands of observations over years and years but that is just adding an extra layer of difficulty. Any ideas? I could use any direction for an interesting research question or useable/understandable data. I feel like this project could be easy if I have the right data and question (my prof also suggested starting with data as it could help make things easier)

I have a list of addresses (including city, state, ZIP, latitude, and longitude) for a specific area, and I need to find the resident names associated with them.

I’ve already used Geocodio to get latitude and longitude, but I haven’t found a good way to pull in names. I’ve heard that services like Whitepages, Melissa Data, or Experian might work, but I’m not sure which is best or how to set it up.

Does anyone have experience with this? Ideally, I’d love a tool or API that can batch process the list. Open to paid or free solutions!

Struggling to communicate data findings to business teams.

What are some strategies or visualization techniques that can help translate complex data insights into actionable business recommendations?