Datasets:
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Duplicate from Gugu8/Code-Syntax-Expanded
Browse files- .gitattributes +61 -0
- LICENSE +134 -0
- README.md +102 -0
- code_syntax_dataset_1GB.csv +3 -0
.gitattributes
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# Audio files - uncompressed
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code_syntax_dataset_1GB.csv filter=lfs diff=lfs merge=lfs -text
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LICENSE
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@@ -0,0 +1,134 @@
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| 1 |
+
Open Data Attribution Training Disclosure License (ODATL‑1.0)
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| 2 |
+
Version 1.0 — July 2026
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| 4 |
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A permissive open‑data license requiring attribution and mandatory disclosure of AI training use.
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--------------------------------------------------------------------
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+
SECTION 1 — DEFINITIONS
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| 8 |
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--------------------------------------------------------------------
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| 9 |
+
1.1 “Dataset” refers to the collection of data, files, metadata, annotations, structures, or any other materials distributed under this License, including any updates, subsets, or modified versions.
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1.2 “Licensor” refers to the entity or individual who releases the Dataset under this License.
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1.3 “Licensee” refers to any person, organization, or system that accesses, uses, modifies, redistributes, or incorporates the Dataset.
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1.4 “Model” refers to any machine learning system, artificial intelligence system, algorithm, statistical model, or computational process trained, fine‑tuned, evaluated, or otherwise developed using the Dataset.
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1.5 “Public Notice” refers to a clear, visible, and publicly accessible statement acknowledging use of the Dataset.
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1.6 “Derivative Dataset” refers to any dataset created by modifying, transforming, filtering, augmenting, or otherwise altering the original Dataset.
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1.7 “Derivative Model” refers to any Model whose training data includes the Dataset or any Derivative Dataset.
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--------------------------------------------------------------------
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SECTION 2 — GRANT OF RIGHTS
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--------------------------------------------------------------------
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2.1 The Licensor grants the Licensee a worldwide, royalty‑free, non‑exclusive, irrevocable permission to:
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- Use, copy, and redistribute the Dataset for any purpose.
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- Modify, transform, or build upon the Dataset.
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- Create Derivative Datasets.
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- Train, fine‑tune, evaluate, or otherwise use the Dataset for machine learning or AI development.
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- Create Derivative Models based on the Dataset.
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2.2 These rights are intended to be compatible with open‑source and open‑data principles, including but not limited to CC‑BY, ODC‑BY, and other permissive data licenses.
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2.3 No patent rights are granted or implied by this License.
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--------------------------------------------------------------------
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SECTION 3 — MANDATORY ATTRIBUTION
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--------------------------------------------------------------------
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3.1 Any public use, redistribution, publication, or derivative work involving the Dataset must include the following attribution:
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“This work uses data provided under the Open Data Attribution Training Disclosure License (ODATL‑1.0).”
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3.2 Attribution must appear in:
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- Documentation
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- Research papers
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- Model cards
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- Public datasets
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- Product descriptions
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- Any public‑facing material referencing the Dataset
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3.3 Attribution must remain intact and may not be removed, obscured, or altered.
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--------------------------------------------------------------------
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SECTION 4 — MANDATORY TRAINING DISCLOSURE
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--------------------------------------------------------------------
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4.1 If the Dataset is used to train, fine‑tune, evaluate, or otherwise develop any Model, the Licensee must provide a Public Notice stating:
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“This model was trained using data provided under the Open Data Attribution Training Disclosure License (ODATL‑1.0).”
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4.2 This disclosure must appear in:
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- Model cards
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- Public releases of the Model
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- Research publications
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- Technical documentation
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- Product descriptions
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- Any public announcement or description of the Model
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4.3 Disclosure must be truthful, visible, and accessible to the general public.
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4.4 Failure to provide this disclosure immediately terminates all rights granted under this License.
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--------------------------------------------------------------------
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SECTION 5 — REDISTRIBUTION REQUIREMENTS
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--------------------------------------------------------------------
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5.1 If the Licensee redistributes the Dataset or any Derivative Dataset, the Licensee must:
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- Include this License in full.
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- Clearly indicate any modifications made.
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- Preserve all attribution and disclosure requirements.
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5.2 Derivative Datasets may be dual‑licensed under other open‑data licenses, provided this License remains included and enforceable.
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SECTION 6 — OPEN‑SOURCE COMPATIBILITY
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6.1 This License is designed to be compatible with:
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- Open Data Commons Attribution (ODC‑BY)
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- Creative Commons Attribution (CC‑BY)
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- Open‑source AI research workflows
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- Open‑data distribution platforms
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6.2 Redistribution through open‑source repositories (e.g., GitHub, HuggingFace, Kaggle) is permitted and encouraged.
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6.3 Licensees may combine the Dataset with other open datasets, provided attribution and training disclosure obligations remain intact.
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--------------------------------------------------------------------
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SECTION 7 — PROHIBITED USES
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--------------------------------------------------------------------
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7.1 The Licensee may not:
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- Claim exclusive ownership of the Dataset.
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- Remove or alter attribution or disclosure requirements.
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- Use the Dataset in violation of applicable laws or regulations.
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- Misrepresent the origin, nature, or licensing of the Dataset.
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7.2 The Licensee may not apply technical or legal measures that restrict others from exercising rights granted under this License.
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--------------------------------------------------------------------
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SECTION 8 — NO WARRANTY
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--------------------------------------------------------------------
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8.1 The Dataset is provided “as‑is,” without warranty of any kind, express or implied.
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8.2 The Licensor is not liable for any damages, losses, or claims arising from use of the Dataset or any Derivative Model.
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--------------------------------------------------------------------
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SECTION 9 — TERMINATION
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--------------------------------------------------------------------
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9.1 Rights under this License automatically terminate if the Licensee:
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- Fails to provide required attribution.
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- Fails to provide required training disclosure.
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- Violates any other term of this License.
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9.2 Rights may be reinstated upon correction of the violation, unless the Licensor explicitly revokes permission.
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--------------------------------------------------------------------
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SECTION 10 — ACCEPTANCE
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--------------------------------------------------------------------
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10.1 By accessing or using the Dataset, the Licensee agrees to be bound by the terms of this License.
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10.2 Continued use of the Dataset constitutes ongoing acceptance of all terms.
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--------------------------------------------------------------------
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SECTION 11 — CONTACT
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--------------------------------------------------------------------
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11.1 For permissions beyond this License, contact the Licensor.
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README.md
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---
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license: other
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license_name: open-data-attribution-training-disclosure-license-odatl-1.0
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license_link: LICENSE
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language:
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- en
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tags:
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- synthetic
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- code
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size_categories:
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- 100M<n<1B
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---
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# Code-Syntax-Expanded
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A **massive, high-quality synthetic dataset** for training LLMs to identify and correct syntax errors across **33 programming languages**. Contains **5+ million unique examples** (~1.1 GB) with English explanations – no artificial padding, no duplicate rows.
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---
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## 📊 Dataset Overview
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| Property | Value |
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|----------|-------|
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| **Total rows** | 5,000,000+ |
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| **File size** | ~1.1 GB (uncompressed CSV) |
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| **Languages** | 33 |
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| **Unique templates** | 160+ error patterns |
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| **Format** | CSV (4 columns) |
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| **License** | ODA-TL v1.0 |
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---
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| 33 |
+
## 📁 Dataset Structure
|
| 34 |
+
|
| 35 |
+
Each row contains:
|
| 36 |
+
|
| 37 |
+
| Column | Description |
|
| 38 |
+
|--------|-------------|
|
| 39 |
+
| `wrong_code` | Code snippet containing a syntax error |
|
| 40 |
+
| `correct_code` | Corrected version of the snippet |
|
| 41 |
+
| `explanation` | Concise English explanation of the error and fix |
|
| 42 |
+
| `language` | Programming language (e.g., `Python`, `JavaScript`, `Rust`) |
|
| 43 |
+
|
| 44 |
+
---
|
| 45 |
+
|
| 46 |
+
## 🧠 Languages Covered
|
| 47 |
+
|
| 48 |
+
### General Purpose
|
| 49 |
+
Python, JavaScript, TypeScript, Java, C#, C++, Rust, Go, Ruby, PHP, Perl, Swift, Kotlin, R, MATLAB, Scala, Lua, Dart
|
| 50 |
+
|
| 51 |
+
### Web Technologies
|
| 52 |
+
HTML, CSS
|
| 53 |
+
|
| 54 |
+
### Database
|
| 55 |
+
SQL (MySQL/PostgreSQL-style)
|
| 56 |
+
|
| 57 |
+
### Shell & Scripting
|
| 58 |
+
Bash, PowerShell
|
| 59 |
+
|
| 60 |
+
### Markup & Configuration
|
| 61 |
+
YAML, JSON, XML, Markdown
|
| 62 |
+
|
| 63 |
+
### Backend & Frameworks
|
| 64 |
+
Node.js (Express, fs, JWT, bcrypt, Mongoose)
|
| 65 |
+
|
| 66 |
+
---
|
| 67 |
+
|
| 68 |
+
## 📈 Dataset Statistics
|
| 69 |
+
|
| 70 |
+
| Language | Examples (approximate) | Key Error Types |
|
| 71 |
+
|----------|------------------------|-----------------|
|
| 72 |
+
| Python | 350,000+ | Missing colons, indentation, `==` vs `=`, imports |
|
| 73 |
+
| JavaScript | 300,000+ | Missing parentheses, `===` vs `==`, const reassignment |
|
| 74 |
+
| Rust | 200,000+ | Borrow checker, moves, mutable references |
|
| 75 |
+
| Java | 250,000+ | Semicolons, type mismatches, array bounds |
|
| 76 |
+
| SQL | 200,000+ | Missing commas, WHERE typos, quoting |
|
| 77 |
+
| HTML/CSS | 250,000+ | Nesting, self-closing tags, attribute quoting |
|
| 78 |
+
| Others | 3,200,000+ | Language-specific syntax rules |
|
| 79 |
+
|
| 80 |
+
---
|
| 81 |
+
|
| 82 |
+
## 🎯 Use Cases
|
| 83 |
+
|
| 84 |
+
- **Fine-tuning LLMs** for code correction and syntax repair
|
| 85 |
+
- **Building code review assistants** that detect common mistakes
|
| 86 |
+
- **Teaching programming** with a massive bank of error/fix examples
|
| 87 |
+
- **Benchmarking** model understanding of language-specific syntax
|
| 88 |
+
- **Creating educational tools** for learning programming languages
|
| 89 |
+
|
| 90 |
+
---
|
| 91 |
+
|
| 92 |
+
## 💡 Example Entries
|
| 93 |
+
|
| 94 |
+
| wrong_code | correct_code | explanation | language |
|
| 95 |
+
|------------|--------------|-------------|----------|
|
| 96 |
+
| `if x > 5\n print('hello')` | `if x > 5:\n print('hello')` | Colon missing after if. | Python |
|
| 97 |
+
| `console.log('world'` | `console.log('world')` | Close parenthesis. | JavaScript |
|
| 98 |
+
| `let mut x=5; let r1=&mut x; let r2=&mut x;` | `let mut x=5; { let r1=&mut x; } let r2=&mut x;` | Only one mutable borrow allowed. | Rust |
|
| 99 |
+
| `SELECT name age FROM users;` | `SELECT name, age FROM users;` | Missing comma between columns. | SQL |
|
| 100 |
+
| `<p>Hello <b>world!</p></b>` | `<p>Hello <b>world!</b></p>` | Improper nesting of tags. | HTML |
|
| 101 |
+
|
| 102 |
+
---
|
code_syntax_dataset_1GB.csv
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fab5de517a71101b96adfc5ceaa9d0579f2465bdd2362e7841569b441d089b40
|
| 3 |
+
size 1073900974
|