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CITATION.cff

@@ -0,0 +1,52 @@
+cff-version: 1.2.0
+message: "If you use AIFaultBench, please cite it as below."
+type: dataset
+title: "AIFaultBench: A Reproducible Benchmark of Real-World AI Software Faults"
+abstract: >-
+  AIFaultBench is a benchmark of 770 real-world AI software faults collected from
+  105 open-source repositories across 76 organizations, spanning traditional
+  machine learning, deep learning, large language model infrastructure,
+  reinforcement learning, agentic AI systems, and AI tooling. Each fault ships
+  with the original GitHub issue report, a minimal reproduction script, a
+  dependency specification, codebase reconstruction and environment setup
+  scripts, reproduction logs, structured metadata, and a reproduction
+  trajectory. 652 of the 770 faults (85%) are verified reproducible; the
+  remainder document the reasons preventing reproduction.
+authors:
+  - family-names: Shah
+    given-names: "Mehil B."
+    email: shahmehil@dal.ca
+    affiliation: "Dalhousie University"
+  - family-names: Rahman
+    given-names: "Mohammad Masudur"
+    affiliation: "Dalhousie University"
+  - family-names: Khomh
+    given-names: Foutse
+    affiliation: "Polytechnique Montréal"
+doi: 10.5281/zenodo.21763133
+identifiers:
+  - type: doi
+    value: 10.5281/zenodo.21763133
+    description: "Version DOI for v1.1."
+  - type: doi
+    value: 10.5281/zenodo.21763132
+    description: "Concept DOI — always resolves to the latest version."
+url: "https://zenodo.org/records/21763133"
+repository-code: "https://github.com/mehilshah/AIFaultBench"
+repository-artifact: "https://huggingface.co/datasets/mehilshah/AIFaultBench"
+license: CC-BY-4.0
+version: v1.1
+date-released: 2026-08-02
+keywords:
+  - benchmark
+  - software engineering
+  - bug reproduction
+  - fault localization
+  - automated program repair
+  - debugging
+  - machine learning
+  - deep learning
+  - large language models
+  - agentic AI
+  - reinforcement learning
+  - mining software repositories

README.md

@@ -1,39 +1,8 @@
----
-pretty_name: AIFaultBench
-license: cc-by-4.0
-language:
-  - en
-  - code
-size_categories:
-  - n<1K
-task_categories:
-  - other
-tags:
-  - software-engineering
-  - bug-reproduction
-  - fault-localization
-  - automated-program-repair
-  - debugging
-  - benchmark
-  - machine-learning
-  - deep-learning
-  - llm-infrastructure
-  - agentic-ai
-  - reinforcement-learning
-  - msr
-  - mining-software-repositories
-configs:
-  - config_name: default
-    data_files:
-      - split: train
-        path: index.csv
----
-
 # AIFaultBench: A Benchmark of Real-World Faults in AI Software Systems
 
-[![Dataset on Zenodo](https://img.shields.io/badge/dataset-Zenodo-1682d4.svg)](https://doi.org/10.5281/zenodo.21422606)
-[![Dataset on HF](https://img.shields.io/badge/dataset-%F0%9F%A4%97%20Hugging%20Face-yellow.svg)](https://huggingface.co/datasets/mehilshah/MSR-MiningChallenge-2027)
-[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.21422606.svg)](https://doi.org/10.5281/zenodo.21422606) 
+[![Dataset on Zenodo](https://img.shields.io/badge/dataset-Zenodo-1682d4.svg)](https://zenodo.org/records/21763133)
+[![Dataset on HF](https://img.shields.io/badge/dataset-%F0%9F%A4%97%20Hugging%20Face-yellow.svg)](https://huggingface.co/datasets/mehilshah/AIFaultBench)
+[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.21763133.svg)](https://doi.org/10.5281/zenodo.21763133) 
 
 AIFaultBench is a benchmark of **770 real-world AI software faults** collected from **105 open-source repositories** across **76 organizations**, spanning traditional machine learning, deep learning, large language model infrastructure, reinforcement learning, agentic AI systems, and AI tooling.
 
@@ -130,7 +99,7 @@ The index is also exposed through the Hugging Face dataset viewer:
 ```python
 from datasets import load_dataset
 
-index = load_dataset("mehilshah/MSR-MiningChallenge-2027", split="train")
+index = load_dataset("mehilshah/AIFaultBench", split="train")
 ```
 
 Note that `bug_id` is a zero-padded three-digit string (`001`, …, `774`) that names the
@@ -167,11 +136,12 @@ Together, these provide a fully executable reproduction package suitable for eva
 ## Citation
 
 ```bibtex
-@misc{AIFaultBench_2027,
+@misc{AIFaultBench_2026,
   title={AIFaultBench: A Reproducible Benchmark of Real-World AI Software Faults},
   author={Shah, Mehil B and Rahman, Mohammad Masudur and Khomh, Foutse},
-  year={2027},
-  doi={10.5281/zenodo.21422606}
+  year={2026},
+  doi={10.5281/zenodo.21763133},
+  url={https://zenodo.org/records/21763133}
 }
 ```
 
@@ -182,4 +152,4 @@ Together, these provide a fully executable reproduction package suitable for eva
 The reproduction scripts, metadata, and benchmark packaging are released under
 [CC BY 4.0](LICENSE).
 
-Each original bug report and source repository remains under its respective upstream license.
+Each original bug report and source repository remains under its respective upstream license.