## Bar Chart: Number of Real-World Verifiable SWE Instances
### Overview
This bar chart visualizes the number of real-world verifiable Software Engineering (SWE) instances for different datasets, categorized by programming language support: Python-only and Multilingual. The chart uses a bar graph to compare the instance counts across several datasets.
### Components/Axes
* **Title:** "Number of Real-World Verifiable SWE Instances" (centered at the top)
* **X-axis:** Dataset names: "SWE-Bench", "SWE-Gym", "Multi-SWE-RL", "SWE-rebench", "DeepSeek-V3.2", "CWM", "MIMO-V2-Flash", "SWE-Universe (Ours)".
* **Y-axis:** Number of Instances (scale not explicitly labeled, but implied to be linear).
* **Legend:** Located in the top-left corner.
* "Python-only" (represented by light blue)
* "Multilingual" (represented by orange)
### Detailed Analysis
The chart consists of eight datasets along the x-axis. For each dataset, there are two bars representing the number of Python-only and Multilingual instances.
* **SWE-Bench:**
* Python-only: Approximately 2,294 instances (light blue bar).
* Multilingual: Approximately 2,438 instances (orange bar).
* **SWE-Gym:**
* Python-only: Approximately 2,438 instances (light blue bar).
* Multilingual: Approximately 4,723 instances (orange bar).
* **Multi-SWE-RL:**
* Python-only: Approximately 4,723 instances (light blue bar).
* Multilingual: Approximately 21,000 instances (orange bar).
* **SWE-rebench:**
* Python-only: Approximately 21,000 instances (light blue bar).
* Multilingual: Approximately 24,667 instances (orange bar).
* **DeepSeek-V3.2:**
* Python-only: Approximately 24,667 instances (light blue bar).
* Multilingual: Approximately 35,000 instances (orange bar).
* **CWM:**
* Python-only: Approximately 35,000 instances (light blue bar).
* Multilingual: Approximately 90,000 instances (orange bar).
* **MIMO-V2-Flash:**
* Python-only: Approximately 90,000 instances (light blue bar).
* Multilingual: No bar is visible for Python-only.
* **SWE-Universe (Ours):**
* Python-only: No bar is visible for Python-only.
* Multilingual: Approximately 807,693 instances (orange bar).
The orange bars (Multilingual) generally increase in height from left to right, with a particularly large jump for "SWE-Universe (Ours)". The light blue bars (Python-only) also generally increase, but at a much slower rate.
### Key Observations
* The "SWE-Universe (Ours)" dataset has a significantly higher number of Multilingual instances (807,693) compared to all other datasets.
* For most datasets, the number of Multilingual instances is greater than or equal to the number of Python-only instances.
* The difference between Python-only and Multilingual instances is relatively small for the first few datasets (SWE-Bench, SWE-Gym, Multi-SWE-RL), but grows substantially for later datasets.
* For MIMO-V2-Flash and SWE-Universe (Ours), there are no Python-only instances.
### Interpretation
The data suggests that the "SWE-Universe (Ours)" dataset is substantially larger and more diverse than the other datasets, particularly in terms of multilingual support. The increasing trend in Multilingual instances across the datasets indicates a growing focus on supporting multiple programming languages in software engineering research and development. The lack of Python-only instances in the last two datasets suggests that these datasets are specifically designed for multilingual scenarios. The chart highlights the importance of multilingual support in modern software engineering and the potential benefits of using larger, more diverse datasets for training and evaluating SWE models. The large difference in scale between the datasets suggests that the "SWE-Universe (Ours)" dataset may represent a significant advancement in the availability of real-world verifiable SWE instances.
