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This makes the codebase harder to extend, test, and maintain as new components and GPU resources are added.
Although OperationManager is used elsewhere to dispatch operations, it is designed for parallel, decoupled callbacks, not ordered, interdependent execution. Therefore, introducing a new ChainManager class to manage sequenced GPU operations would improve modularity and clarity.
Proposed Tasks:
Design a base GPUOperation interface for chainable GPU tasks
Implement reusable operation steps for memory allocation, data transfer, and cleanup
Allow composition of these steps into ordered execution chains
Replace hardcoded sequences in GPUModel with ChainManager-based chains | null | {
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Closes #722
Closes #719
Closes #574
<!-- Please provide a brief overview of the changes implemented -->
#### Description
This expands the set of variables recorded by including additional ones, providing a wider range of the data captured. Additionally, it removes the dependency on XML911Recorder by using the recorders instead.
<!-- Please check the boxes as applicable -->
#### Checklist (Mandatory for new features)
- [ ] Added Documentation
- [ ] Added Unit Tests
<!-- Ensure all boxes are checked before submitting the PR -->
#### Testing (Mandatory for all changes)
- [x] GPU Test: `test-medium-connected.xml` Passed
- [x] GPU Test: `test-large-long.xml` Passed
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} | null | Not only is this awkward from the point of view of GPU code, it also makes it difficult to record these variables (without adding custom code to the Recorder classes for every struct we make a vector of). So, we should stick to data members that are vectors (actually `RecorderableVector`) of primitive types.
https://github.com/UWB-Biocomputing/Graphitti/blob/004f58ccb6e19bf41ae2f1fe9d2eea53e7879144/Simulator/Connections/NG911/Connections911.h#L60-L65 | null | {
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Closes #734
<!-- Please provide a brief overview of the changes implemented -->
#### Description
Add source, target and weighted connections for STDP simulations from graphml files. Create NeuralEdgeProperties struct for connections data and implement Connstatic code. Update documentation for GraphManager class and update test-tiny.graphml for STDP testing.
<!-- Please check the boxes as applicable -->
#### Checklist (Mandatory for new features)
- [x] Added Documentation
- [x] Added Unit Tests
<!-- Ensure all boxes are checked before submitting the PR -->
#### Testing (Mandatory for all changes)
- [x] GPU Test: `test-medium-connected.xml` Passed
- [x] GPU Test: `test-large-long.xml` Passed
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Closes #648
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#### Description
Created new personal development branch (KaurSainiDevelopment) to merge conflicting updates into SharedDevelopment. The GraphManager class needs to be modified to support different property structs for specific application domains. This enhancement will involve templating the class and adding inheritance to the VertexProperties.
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- [x] Added Documentation
- [x] Added Unit Tests
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- [x] GPU Test: `test-large-long.xml` Passed
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- [ ] Added Unit Tests
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"@stiber changes are mostly the same as the two PRs that we reviewed. Had a merge conflict with a change Diva made to fix a seg fault that I resolved, but it doesn't look like it's in the list of changes. One weird thing I noticed was that Raiju is causing some of the GPU regression tests to fail while Otachi is no... | 2025-03-07T05:20:51 | 2025-03-13T23:50:55 | 2025-03-13T23:46:37 | CONTRIBUTOR | null | {
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Closes #786 #806
<!-- Please provide a brief overview of the changes implemented -->
#### Description
<!-- Please check the boxes as applicable -->
#### Checklist (Mandatory for new features)
- [ ] Added Documentation
- [ ] Added Unit Tests
<!-- Ensure all boxes are checked before submitting the PR -->
#### Testing (Mandatory for all changes)
- [x] GPU Test: `test-medium-connected.xml` Passed
- [x] GPU Test: `test-large-long.xml` Passed
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https://api.github.com/repos/UWB-Biocomputing/Graphitti/issues/813 | https://api.github.com/repos/UWB-Biocomputing/Graphitti | https://api.github.com/repos/UWB-Biocomputing/Graphitti/issues/813/labels{/name} | https://api.github.com/repos/UWB-Biocomputing/Graphitti/issues/813/comments | https://api.github.com/repos/UWB-Biocomputing/Graphitti/issues/813/events | https://github.com/UWB-Biocomputing/Graphitti/pull/813 | 2,901,786,846 | PR_kwDOEEdqD86NtmMP | 813 | [ISSUE-783][ISSUE-773][ISSUE-319] Validation Mode and Cleanup | {
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Closes #783
Closes #773
Closes #319
<!-- Please provide a brief overview of the changes implemented -->
#### Description
This PR replaces and continues work from #794
Continues from work on #794:
CMAKE build types cleaned up in cmakelists
```
# Build Type Configuration
#
# CMake support for different build types controlling optimization, debugging and profiling:
#
# - Debug : No optimizations (`-O0`), includes debug symbols (`-g`).
# - Release : Optimized build (`-O3`), removes debug symbols.
# - RelWithDebInfo: Optimized (`-O2`) but keeps debug symbols (`-g`) for profiling.
# - Profiling : Custom build type (defined in this project) that enables:
# - CPU profiling via `-pg` (GPROF)
# - CUDA profiling via `-lineinfo` (for Nsight Compute)
#
# Selecting a Build Type:
# - By default, CMake does NOT set a build type for single-config generators.
# - If no build type is specified, this script defaults to "Release" for performance.
# - You can explicitly set the build type when configuring CMake:
#
# cmake -S . -B build -DCMAKE_BUILD_TYPE=Debug # Debug mode
# cmake -S . -B build -DCMAKE_BUILD_TYPE=Release # Release mode
# cmake -S . -B build -DCMAKE_BUILD_TYPE=Profiling # Profiling mode
#
# If you don't want to pass in the build type flag, you can edit this file and add...
# set(CMAKE_BUILD_TYPE "Debug") or whichever build type you want
# -----------------------------------------------------------------------------
```
Additionally, added a new conditional flag to change the target architecture for cuda compilation.
```
#CONDITIONAL FLAG to change target architecture for the GPU simulator from the default
#
#You can pass this flag when running cmake from the command line like this, setting TARGET_ARCH \
# to your desired architecture: \
#
#cmake -D ENABLE_CUDA=YES -D TARGET_ARCH=70 ..
#
#"YES" / GPU choice only available if CUDA library is installed and the GPU is CUDA capable.
#If no TARGET_ARCH is passed in then it will default to 37 which is the kepler architecture
```
Quickstart guide, StudentSetup, and codingConventions documentation was updated.
Added support for nvtx profiling tools. The profiling build option will enable this if the nvtx libraries are present.
About the comment in #794 about the build.sh file added to the .gitignore [here](https://github.com/UWB-Biocomputing/Graphitti/pull/794#discussion_r1956908137): I have created a build.sh file with the intention in mind to create a simple build script with machine specific build and compile flags that eliminate the need to retype every conditional flag every time I do a cmake. Others who wish to run graphitti on their own machine can follow similarly, but since it is changed regularly to test different build and compile options it shouldn't be tracked by git. For example in my build.sh:
```
set -e # Exit immediately if a command exits with a non-zero status
# You can allow a build type to be specified as an argument; default is 'Release'
BUILD_TYPE="${1:-Release}"
# Print result (for debugging)
echo "BUILD_TYPE: $BUILD_TYPE"
# Where to build (you can customize this directory)
BUILD_DIR="build"
# Clean up previous build artifacts if desired
# Invoke CMake with the desired flags
cmake -S . -B "${BUILD_DIR}" \
-DENABLE_CUDA=YES \
-DTARGET_ARCH=75 \
-DCMAKE_BUILD_TYPE="${BUILD_TYPE}"
# Now build. The "--build" command is cross-platform.
cmake --build "${BUILD_DIR}" -- -j$(nproc)
```
Implements the validation mode outlined in #319
There is a new conditional flag to turn on the validation mode
```
#CONDITIONAL FLAG to turn on the validation mode
if(NOT VALIDATION_MODE)
set(VALIDATION_MODE NO)
endif()
```
When validation mode is enabled, the MTRand on the host generates noise for each vertex every time the simulation advances. This noise is then copied to the randNoise_d buffer for use in the GPU’s advanceVertices kernel. As long as cgraphitti is also run in validation mode, the generated noise will match, ensuring that each vertex receives noise from MTRand in every advanceNeuron call, regardless of whether it is refractory or firing.
Noise is generated in reverse order, from the highest to lowest vertex, because advanceVertices processes neurons in that sequence. While it may be worth investigating whether advanceVertices should instead process vertices in their natural order, the validation mode remains functional after accounting for this behavior.
Validation mode collects and logs data on noise, Vm, summation points, and Inoise during each vertex update, saving the information to vertices.txt in the Debug output folder. However, this process is slow. The next step in validating the GPU and CPU algorithms is to analyze the exported data to identify the cause of slight deviations in simulation results.
<!-- Please check the boxes as applicable -->
#### Checklist (Mandatory for new features)
- [x] Added Documentation
- [ ] Added Unit Tests
<!-- Ensure all boxes are checked before submitting the PR -->
#### Testing (Mandatory for all changes)
- [x] GPU Test: `test-medium-connected.xml` Passed
- [x] GPU Test: `test-large-long.xml` Passed
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Closes #791
<!-- Please provide a brief overview of the changes implemented -->
#### Description
Move neuronTypeToString to AllVertices and rename to vertexTypeToString (utility function).
<!-- Please check the boxes as applicable -->
#### Checklist (Mandatory for new features)
- [ ] Added Documentation
- [ ] Added Unit Tests
<!-- Ensure all boxes are checked before submitting the PR -->
#### Testing (Mandatory for all changes)
- [x] GPU Test: `test-medium-connected.xml` Passed
- [x] GPU Test: `test-large-long.xml` Passed
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<!-- Please provide a brief overview of the changes implemented -->
#### Description
Removed the probed neuron/vertex list from all config files, as this code no longer exists.
<!-- Please check the boxes as applicable -->
#### Checklist (Mandatory for new features)
- [ ] Added Documentation
- [ ] Added Unit Tests
<!-- Ensure all boxes are checked before submitting the PR -->
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- [x] GPU Test: `test-medium-connected.xml` Passed
- [x] GPU Test: `test-large-long.xml` Passed
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Closes #648
Closes #734
<!-- Please provide a brief overview of the changes implemented -->
#### Description
Add in STDP ability to have connections with source, destination and weight. Update Global.h with NeuroEdgeProperties struct and ConnStatic code.
<!-- Please check the boxes as applicable -->
#### Checklist (Mandatory for new features)
- [x] Added Documentation
- [x] Added Unit Tests
<!-- Ensure all boxes are checked before submitting the PR -->
#### Testing (Mandatory for all changes)
- [x] GPU Test: `test-medium-connected.xml` Passed
- [x] GPU Test: `test-large-long.xml` Passed
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Closes #805
<!-- Please provide a brief overview of the changes implemented -->
#### Description
This pull request addresses a segmentation fault observed during the STDP simulation after deserializing a large, GPU-based growth simulation.
<!-- Please check the boxes as applicable -->
#### Checklist (Mandatory for new features)
- [ ] Added Documentation
- [ ] Added Unit Tests
<!-- Ensure all boxes are checked before submitting the PR -->
#### Testing (Mandatory for all changes)
The simulation was tested using the following commands:
GPU-based simulation:
ggraphitti -g 1 -c ../configfiles/tR_1.0--fE_0.90_10000.xml -s Output/Results/tR_1.0--fE_0.90_10000_serialized.xml
CPU-based simulation:
cgraphitti -c ../configfiles/stdp_fE_0.90_10000.xml -d ./Output/Results/tR_1.0--fE_0.90_10000_serialized.xml
Both commands were successfully executed without encountering the segmentation fault after the proposed fixes were applied
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"@stiber based on the edge state not being updated until after we know that we need to transfer the call to the vertex, I think it's reasonable for all of the current advanceEdges implementation to be moved into integrateVertexInput. Lets discuss this PR at our 1:1 later this week."
] | 2025-03-03T04:00:41 | 2025-03-07T04:41:48 | 2025-03-07T04:41:40 | CONTRIBUTOR | null | {
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Closes #806
<!-- Please provide a brief overview of the changes implemented -->
#### Description
Since advanceEdges doesn't update the edge state until after we know that we can transfer the call, we move all of the advanceEdges logic into integrateVertexInputs.
<!-- Please check the boxes as applicable -->
#### Checklist (Mandatory for new features)
- [ ] Added Documentation
- [ ] Added Unit Tests
<!-- Ensure all boxes are checked before submitting the PR -->
#### Testing (Mandatory for all changes)
- [ ] GPU Test: `test-medium-connected.xml` Passed
- [ ] GPU Test: `test-large-long.xml` Passed
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} | null | A segmentation fault is observed during the STDP simulation after deserializing a large, GPU-based growth simulation. This crash has been identified by @varndorfer and she traced to an inconsistent state of the `summationPoints_` variable.
On debugging we found the follwing two root causes:
1. The `summationPoints_` variable under the class `AllSpikingNeurons` was intentionally left uninitialized on the CPU side. This design decision was made to prevent accidental or incorrect usage of this variable within GPU-specific code. However, with the introduction of serialization and deserialization functionalities, this uninitialized state becomes problematic. During deserialization, the saved state of `summationPoints_` needs to be loaded onto the CPU, and subsequently transferred to the GPU. Without proper initialization, the CPU memory location is undefined, leading to potential errors.
2. Corresponding to the intentional un-initialization, there was no need for a mechanism to synchronize the `summationPoints_` data between the CPU and GPU. Now, this lack of synchronization is revealed as a critical flaw. Deserialization involves loading data onto the CPU, but without a transfer or synchronization step, the GPU is unable to populate the deserialized `summationPoints_` values. This disparity results in the GPU accessing incorrect memory locations during STDP execution, leading to the segmentation fault. | {
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"@stiber this should be a quick review, but it is ready when you get a chance. I'll then set up a PR to merge this into Shared Development."
] | 2025-02-28T01:00:42 | 2025-03-07T04:03:39 | 2025-03-07T04:03:27 | CONTRIBUTOR | null | {
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} | null | <!-- Link to the issue and use the appropriate closing keyword (e.g., Closes, Resolves) -->
Closes #786
<!-- Please provide a brief overview of the changes implemented -->
#### Description
It looks like the 911 file wasn't moved when the Cpu and Gpu testing subfolders were created. Moved small 911 test into Cpu subfolder since it was generated with Cpu code. This required corresponding update to github actions. Then updated RunTests so that it would build the appropriate list of tests based on the current processing unit.
<!-- Please check the boxes as applicable -->
#### Checklist (Mandatory for new features)
- [ ] Added Documentation
- [ ] Added Unit Tests
<!-- Ensure all boxes are checked before submitting the PR -->
#### Testing (Mandatory for all changes)
- [x] GPU Test: `test-medium-connected.xml` Passed
- [x] GPU Test: `test-large-long.xml` Passed
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CloudBees' repo for the PlantUML github-action is no longer available.
Investigation is needed. | null | {
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PlantUML link is more than just a broken link, and may require an alternative repo. Should be opened as its' own issue.
<!-- Link to the issue and use the appropriate closing keyword (e.g., Closes, Resolves) -->
Closes #
<!-- Please provide a brief overview of the changes implemented -->
#### Description
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#### Checklist (Mandatory for new features)
- [x] Added Documentation
- [ ] Added Unit Tests
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"Well, on the bright side, this problem will go away in the not-too-distant future, since this recorder class is a hack and the 911 simulations will switch over to using the standard recorder classes. See #719 ",
"@stiber ahhh okay. That makes sense. Is that why the 911Edges.h doesn't have the Cereal serializatio... | 2025-02-26T04:58:49 | 2025-03-06T22:52:04 | null | CONTRIBUTOR | null | {
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} | null | Looks like we are using the vertexType::EXC (which is a neuro vertex type) in the 911 recorder.
https://github.com/UWB-Biocomputing/Graphitti/blob/212fb1df8950cf5cd040ef2a0bf0f80b32e8af64/Simulator/Recorders/NG911/Xml911Recorder.cpp#L35-L40
Not sure why this is or if/why its needed. | null | {
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<!-- Please provide a brief overview of the changes implemented -->
#### Description
Adding VertexType to Recorders
<!-- Please check the boxes as applicable -->
#### Checklist (Mandatory for new features)
- [x] Added Documentation
- [x] Added Unit Tests
<!-- Ensure all boxes are checked before submitting the PR -->
#### Testing (Mandatory for all changes)
- [x] GPU Test: `test-medium-connected.xml` Passed
- [x] GPU Test: `test-large-long.xml` Passed
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https://api.github.com/repos/UWB-Biocomputing/Graphitti/issues/799 | https://api.github.com/repos/UWB-Biocomputing/Graphitti | https://api.github.com/repos/UWB-Biocomputing/Graphitti/issues/799/labels{/name} | https://api.github.com/repos/UWB-Biocomputing/Graphitti/issues/799/comments | https://api.github.com/repos/UWB-Biocomputing/Graphitti/issues/799/events | https://github.com/UWB-Biocomputing/Graphitti/pull/799 | 2,861,837,124 | PR_kwDOEEdqD86LrCV2 | 799 | [ISSUE-648] Templatize GraphManager Class and Add Inheritance to VertexProperty | {
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<!-- Please provide a brief overview of the changes implemented -->
#### Description
The GraphManager class needs to be modified to support different property structs for specific application domains. This enhancement will involve templating the class and adding inheritance to the VertexProperty.
<!-- Please check the boxes as applicable -->
#### Checklist (Mandatory for new features)
- [x] Added Documentation
- [x] Added Unit Tests
<!-- Ensure all boxes are checked before submitting the PR -->
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- [x] GPU Test: `test-medium-connected.xml` Passed
- [x] GPU Test: `test-large-long.xml` Passed
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"@stiber this PR is to merge my PoseyDevelopment branch into SharedDevelopment. This will merge PRs 777 and 789 into SharedDevelopment. Per the above commits, it is now up-to-date with SharedDevelopment. I took a quick look through the file changes and it looks like it only contains the changes from the two PRs so ... | 2025-02-18T05:16:51 | 2025-02-19T19:45:52 | 2025-02-19T19:45:52 | CONTRIBUTOR | null | {
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Closes #745 #785
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#### Description
Merge includes two PRs. PR 777 which moved the vertex integration logic that lived in the Edges class into the Vertices class and PR 789 which cleaned up neuro-specific references in the GPU and CPU models.
<!-- Please check the boxes as applicable -->
#### Checklist (Mandatory for new features)
- [x] Added Documentation
- [ ] Added Unit Tests
<!-- Ensure all boxes are checked before submitting the PR -->
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- [x] GPU Test: `test-medium-connected.xml` Passed
- [x] GPU Test: `test-large-long.xml` Passed
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#### Description
Code to copy the weights back from the GPU after each epoch.
<!-- Please check the boxes as applicable -->
#### Checklist (Mandatory for new features)
- [x] Added Documentation
- [ ] Added Unit Tests
<!-- Ensure all boxes are checked before submitting the PR -->
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As a part of the onboarding task add Padmanabh Patil to the Contributors list of Graphitti.
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Closes #783
Closes #773
<!-- Please provide a brief overview of the changes implemented -->
#### Description
CMAKE build types cleaned up in cmakelists
```
# Build Type Configuration
#
# CMake support for different build types controlling optimization, debugging and profiling:
#
# - Debug : No optimizations (`-O0`), includes debug symbols (`-g`).
# - Release : Optimized build (`-O3`), removes debug symbols.
# - RelWithDebInfo: Optimized (`-O2`) but keeps debug symbols (`-g`) for profiling.
# - Profiling : Custom build type (defined in this project) that enables:
# - CPU profiling via `-pg` (GPROF)
# - CUDA profiling via `-lineinfo` (for Nsight Compute)
#
# Selecting a Build Type:
# - By default, CMake does NOT set a build type for single-config generators.
# - If no build type is specified, this script defaults to "Release" for performance.
# - You can explicitly set the build type when configuring CMake:
#
# cmake -S . -B build -DCMAKE_BUILD_TYPE=Debug # Debug mode
# cmake -S . -B build -DCMAKE_BUILD_TYPE=Release # Release mode
# cmake -S . -B build -DCMAKE_BUILD_TYPE=Profiling # Profiling mode
#
# If you don't want to pass in the build type flag, you can edit this file and add...
# set(CMAKE_BUILD_TYPE "Debug") or whichever build type you want
# -----------------------------------------------------------------------------
```
Additionally, added a new conditional flag to change the target architecture for cuda compilation.
```
#CONDITIONAL FLAG to change target architecture for the GPU simulator from the default
#
#You can pass this flag when running cmake from the command line like this, setting TARGET_ARCH \
# to your desired architecture: \
#
#cmake -D ENABLE_CUDA=YES -D TARGET_ARCH=70 ..
#
#"YES" / GPU choice only available if CUDA library is installed and the GPU is CUDA capable.
#If no TARGET_ARCH is passed in then it will default to 37 which is the kepler architecture
```
Quickstart guide, StudentSetup, and codingConventions documentation was updated.
Added support for nvtx profiling tools. The profiling build option will enable this if the nvtx libraries are present.
<!-- Please check the boxes as applicable -->
#### Checklist (Mandatory for new features)
- [x] Added Documentation
- [ ] Added Unit Tests
<!-- Ensure all boxes are checked before submitting the PR -->
#### Testing (Mandatory for all changes)
- [x] GPU Test: `test-medium-connected.xml` Passed
- [x] GPU Test: `test-large-long.xml` Passed
<!--
PR Guidelines
1. Ensure that your changes are merged into the `development` branch. Only merge into the `master` branch if explicitly instructed.
- On GitHub, at the top of the PR page, change the base branch from `master` to `development`.
2. Assign the PR to yourself and apply the appropriate labels.
3. Only add a reviewer after submitting the PR and confirming that all GitHub Actions have passed.
Thank you for your contribution!
-->
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End of preview. Expand in Data Studio
Graphitti Issues and Pull Requests Dataset Summary
This dataset contains issues, pull requests, and their associated comments from the UW Bothell Graphitti Project, a high-speed graph simulator. It includes metadata such as:
Issue/PR metadata: title, body, state (open/closed/merged), labels, milestone, timestamps, author, etc.
Comments: discussion threads associated with each issue or PR.
Pull request-specific details: lines changed, commits, merged status, etc.
Use Cases:
Researchers can analyze open-source development practices, bug triaging, and collaboration dynamics.
Machine learning tasks like text classification (by label, severity, or topic), summarization (of long discussion threads), or sentiment analysis are all possible with these data.
Supported Tasks and Leaderboards
Potential tasks include:
Issue Classification / Triage
Classifying issues by type (bug, enhancement, question, etc.) or priority.
Topic Modeling
Discovering common themes or recurring issues in the project.
Summarization
Summarizing multi-turn issue or pull request discussions.
Sentiment Analysis
Analyzing the tone of contributors’ messages (helpful, frustrated, neutral, etc.).
Pull Request Analysis
Examining typical code contribution patterns or changes over time.
There are no official leaderboards associated with this dataset. Languages
Most text in this dataset is English, as GitHub issues and pull requests are typically written in English. Additionally, code snippets or references may appear in C++ (the Graphitti project’s primary language). Dataset Structure
Each row in this dataset corresponds to either an Issue or a Pull Request from the Graphitti repository. Key fields include:
id: The numerical GitHub ID.
type: Indicates issue or pull_request.
title: Title of the issue or PR.
body: Main description text.
state: For example, open, closed, merged.
user: GitHub user metadata (e.g., username, user ID).
comments: A sequence of comments (string text).
created_at, updated_at, closed_at: Timestamps in ISO format.
Additional fields like labels, milestone, reactions, etc.
Splits: According to the YAML front matter, the dataset is currently organized into a single train split containing 923 examples (issues/PRs). Users can choose to create validation/test splits as needed. Dataset Creation Curation Rationale
The Graphitti project is a significant academic and open-source effort at UW Bothell, focusing on high-speed graph simulation. Collecting issues and pull requests offers insight into:
Common bugs, feature requests, or usage patterns.
Developer collaboration and communication.
Code quality and testing practices in real-world open-source projects.
Source Data
Repository: UWB-Biocomputing/Graphitti on GitHub
Collection Method: The dataset was extracted via GitHub’s REST API (e.g., issues and pulls endpoints), capturing all available public issues and pull requests, along with their comment threads.
Annotations
No additional manual annotations: The labels, states, and statuses are those used in the original GitHub repository.
Who are the annotators?: All metadata and labels are generated by GitHub or by Graphitti’s contributors.
Considerations for Using the Data Social Impact
Can facilitate research on open-source community practices, academic software projects, and HPC (high-performance computing) collaboration patterns.
Offers an educational perspective on real-world software engineering processes.
Potential Risks and Ethical Considerations
Personal Data:
GitHub usernames (and potentially user profiles, if included) could be considered personal data. While publicly available, re-publishing them in new contexts might raise privacy questions.
Users may inadvertently share personal information within issue discussions.
Code Snippets:
Issues or PRs may contain code under specific licenses (Graphitti is presumably under an open-source license). Ensure compliance with the original project’s license when reusing the code.
Toxic or Sensitive Language:
While not likely in an academic project, some discussions could contain rude or offensive language. Screening is recommended if you plan to use it for moderation or sentiment tasks.
GitHub Terms of Service:
This dataset is derived from content hosted on GitHub. Users should adhere to GitHub’s TOS regarding data usage and redistribution.
Discussion of Biases
The content reflects a specific project’s topics (high-speed graph simulation), so it may not generalize to other domains.
Language usage, patterns of communication, and culture are shaped by a small academic open-source community.
Additional Information Dataset Curators
UW Bothell CS Team (and community contributors). If you contributed to Graphitti’s issues or pull requests, you may be represented in the dataset. Licensing Information
Data License: GitHub repository data is generally subject to GitHub Terms of Service.
Code License: Graphitti’s source code is licensed under [ADD LICENSE HERE] (e.g., MIT, BSD, GPL?).
If you redistribute code snippets, confirm it aligns with the project’s open-source license.
Citation Information
If you use this dataset, please cite:
```bibtex @misc{graphitti_issues_prs_2025, title = {Graphitti Issues and Pull Requests}, author = {UW Bothell CS Team}, howpublished = {Hugging Face, https://huggingface.co/datasets/YOUR_DATASET_SLUG}, year = {2025} } ```
Contributions
Special thanks to:
Justin Madison for dataset creation and curation.
Graphitti Maintainers and UW Bothell for hosting the original codebase and issue discussions.
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