---
license: apache-2.0
task_categories:
- text2text-generation
- feature-extraction
language:
- en
tags:
- code-generation
- swe-agent
- swe-bench
- program-synthesis
- self-healing-code
- deepseek-coder
- ast
- formal-verification
pretty_name: AI Code Generation & SWE Agents 2026
size_categories:
- n<1K
---

# 💻 AI Code Generation, SWE Agents & Program Synthesis Dataset (2026 Edition)

A structured research dataset featuring **3,181 domain-verified research papers and 771 official code repositories** focused on Autonomous Software Engineering Agents (SWE-bench), Program Synthesis, DeepSeek-Coder-V2, Qwen2.5-Coder, Test-Driven Code Repair, Self-Healing Software, AST Semantic Modeling, and Formal Logic Verification (2023–2026).

Built with **Universal Scientific Engine V17.1 Gold**, providing 47 schema attributes with verified repository attribution, 8 AI topological semantic clusters, pre-calculated Top-3 Semantic Nearest Neighbors Graph, structured benchmark leaderboards, and native 384-dimensional dense PyTorch embeddings.

---

## 📊 Dataset Schema Highlights (47 Columns)

| Field | Type | Description |
| :--- | :--- | :--- |
| `paper_id` | String | Unique ArXiv identifier |
| `title` | String | Research paper title |
| `cluster_topic_name` | String | 1 of 8 AI Topological Semantic Clusters |
| `code_agent_execution_mode` | String | Execution mode (SWE-bench Agent, Pair Programmer, Self-Repair) |
| `coding_foundation_backbone` | String | Model backbone (DeepSeek-Coder-V2, Qwen2.5-Coder, Claude-3.5) |
| `programming_languages_supported`| List[String] | Supported languages (Python, Rust, C++, TypeScript, Go) |
| `tested_benchmarks` | List[String] | Benchmarks evaluated (SWE-bench, HumanEval, MBPP, LiveCodeBench) |
| `benchmark_leaderboard_json` | List[Struct] | Structured pass@1 & resolved scores |
| `semantic_nearest_neighbors_top3`| List[Struct] | Pre-calculated top-3 related papers with cosine similarity |
| `commercial_ip_safety_score` | Integer | 0–100 commercial compliance index (94% Enterprise Safe) |
| `tldr_neural_summary` | String | 15-word executive summary of key innovation |
| `title_vector_384d` | List[Float] | 384d PyTorch embedding (`all-MiniLM-L6-v2`) |
| `abstract_vector_384d` | List[Float] | 384d dense contextual PyTorch embedding |
| `reproduction_recipe` | String | 1-line bash setup command |

---

## 🧩 8 AI Semantic Clusters Breakdown

1. `Test-Driven Program Repair & Self-Healing Code Synthesis` (599 papers)
2. `Code Foundation Models & Specialized Instruction Distillation` (501 papers)
3. `Formal Verification, Theorem Proving & Symbolic Logic` (452 papers)
4. `Syntax-Guided AST Modeling & Semantic Code Search` (421 papers)
5. `Interactive Coding Assistants & Human-AI Pair Programming` (356 papers)
6. `Static Analysis, Vulnerability Detection & Automated Security Patching` (336 papers)
7. `Autonomous Repo-Level Software Engineering Agents (SWE-bench)` (276 papers)
8. `Multi-Language Code Translation & Cross-Platform Migration` (240 papers)

---

## 📊 Interactive OpenAngels Visual Dashboard Included
Open `DATASET_ANALYTICS_DASHBOARD_100_SAMPLE.html` directly in your browser (Chrome/Edge/Safari) to explore the interactive visual intelligence directory with real-time filtering, search, and paper metrics.

---

## 💻 1-Click Python Quickstart

```python
import pyarrow.parquet as pq

# Load 100-Sample Teaser
table = pq.read_table("AI_CODE_GENERATION_SWE_AGENTS_PROGRAM_SYNTHESIS_2026_100_SAMPLE.parquet")
df = table.to_pandas()

print(f"Loaded {len(df)} sample AI Coding papers.")
print(f"Top Paper: {df['title'].iloc[0]}")
print(f"Execution Mode: {df['code_agent_execution_mode'].iloc[0]}")
print(f"Top-3 Nearest Neighbors: {df['semantic_nearest_neighbors_top3'].iloc[0]}")
```

---

## 🚀 Get the Full 3,181-Paper Enterprise Edition

The complete commercial production dataset (3,181 papers in Parquet with 384d vectors, SQLite DB, Clean CSV, Interactive OpenAngels HTML Dashboard, and JSON) is available here:

👉 **[BeatsProm AI Code Generation & SWE Agents Dataset Full Edition](https://beatsprom.gumroad.com/l/ai-code-generation-swe-agents-2026)**