Add dataset card for ReSyn

#2
by nielsr HF Staff - opened
Files changed (1) hide show
  1. README.md +37 -0
README.md CHANGED
@@ -1,4 +1,6 @@
1
  ---
 
 
2
  dataset_info:
3
  features:
4
  - name: regex
@@ -39,3 +41,38 @@ configs:
39
  - split: valid
40
  path: data/valid-*
41
  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  ---
2
+ task_categories:
3
+ - text-generation
4
  dataset_info:
5
  features:
6
  - name: regex
 
41
  - split: valid
42
  path: data/valid-*
43
  ---
44
+
45
+ # ReSyn Dataset
46
+
47
+ This repository contains the official datasets for the paper **[ReSyn: A Generalized Recursive Regular Expression Synthesis Framework](https://huggingface.co/papers/2603.24624)** (accepted at IJCAI 2026).
48
+
49
+ - **Paper:** [ReSyn: A Generalized Recursive Regular Expression Synthesis Framework](https://huggingface.co/papers/2603.24624)
50
+ - **GitHub:** [mrseongminkim/ReSyn](https://github.com/mrseongminkim/ReSyn)
51
+
52
+ ## Dataset Description
53
+
54
+ ReSyn is a dataset designed for Programming-By-Example (PBE) systems focused on regular expression synthesis. It aims to capture the high structural complexity of real-world regexes, such as deep nesting and frequent use of union operations, which are often missing from simplified benchmarks.
55
+
56
+ The framework uses a divide-and-conquer approach to decompose complex synthesis problems into manageable sub-problems by adaptively predicting whether to split examples sequentially (Concatenation) or group them by structural similarity (Union).
57
+
58
+ ### Splits
59
+
60
+ The dataset consists of the following splits:
61
+ - **`train`**: 1,410,280 examples used for training the framework's core components.
62
+ - **`valid`**: 32,236 examples for validation.
63
+ - **`benchmark`**: 2,728 real-world regex synthesis problems for evaluating performance on structurally complex patterns.
64
+
65
+ Each example includes a target `regex`, as well as sets of `positive_strings` and `negative_strings`.
66
+
67
+ ## Citation
68
+
69
+ If you use this dataset in your research, please cite:
70
+
71
+ ```bibtex
72
+ @inproceedings{kim2026resyn,
73
+ title={ReSyn: A Generalized Recursive Regular Expression Synthesis Framework},
74
+ author={Kim, Seongmin and Cheon, Hyunjoon and Kim, Su-Hyeon and Han, Yo-Sub and Ko, Sang-Ki},
75
+ booktitle={Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence (IJCAI-26)},
76
+ year={2026}
77
+ }
78
+ ```