Upload Dataset

README.md

@@ -1,3 +1,90 @@
----
-license: apache-2.0
----
+---
+language:
+- en
+license: apache-2.0
+task_categories:
+- text-generation
+- question-answering
+pretty_name: Rust-Coder
+size_categories:
+- 10K<n<100K
+tags:
+- rust
+- programming
+- education
+- code-generation
+dataset_info:
+  features:
+  - name: id
+    dtype: string
+  - name: instruction
+    dtype: string
+  - name: code
+    dtype: string
+  - name: explanation
+    dtype: string
+  - name: category
+    dtype: string
+  - name: topic
+    dtype: string
+  - name: metadata
+    struct:
+      - name: adjective
+        dtype: string
+      - name: verb
+        dtype: string
+      - name: context
+        dtype: string
+      - name: length
+        dtype: int64
+  splits:
+  - name: train
+    num_examples: 10800
+  - name: validation
+    num_examples: 1200
+---
+
+# Rust-Coder
+
+**Rust-Coder** is a comprehensive text dataset designed for Rust programming language learning. It contains **12,000** unique samples focusing on distinct Rust concepts, code snippets, and explanations.
+
+## Dataset Structure
+
+Each sample consists of:
+- `id`: A unique UUID.
+- `instruction`: A prompt or question about a Rust concept.
+- `code`: An idiomatic Rust code snippet.
+- `explanation`: A detailed explanation of the concept and code.
+- `category`: The high-level Rust category (e.g., Ownership & Borrowing).
+- `topic`: The specific topic within the category.
+- `metadata`: Additional details like used adjectives, verbs, and context.
+
+## Covered Topics
+
+- Ownership & Borrowing
+- Types & Data Structures
+- Control Flow & Logic
+- Functions & Methods
+- Error Handling
+- Standard Library & Collections
+- Concurrency & Parallelism
+- Macros & Metaprogramming
+- Unsafe & FFI
+- Cargo & Tooling
+
+## Duplicate Detection
+
+Strict duplicate detection was implemented using SHA-256 hashing of instructions and code snippets to ensure 100% uniqueness across all 12,000 samples.
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("Convence/Rust-Coder")
+print(dataset['train'][0])
+```
+
+## License
+
+Apache 2.0

train/dataset_info.json

@@ -0,0 +1,68 @@
+{
+  "builder_name": "Rust-Coder",
+  "dataset_name": "Rust-Coder",
+  "dataset_size": 12000,
+  "description": "A comprehensive text dataset for Rust programming language learning, featuring instructions, code snippets, and detailed explanations.",
+  "features": {
+    "id": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "instruction": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "code": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "explanation": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "category": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "topic": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "metadata": {
+      "adjective": {
+        "dtype": "string",
+        "_type": "Value"
+      },
+      "verb": {
+        "dtype": "string",
+        "_type": "Value"
+      },
+      "context": {
+        "dtype": "string",
+        "_type": "Value"
+      },
+      "length": {
+        "dtype": "int64",
+        "_type": "Value"
+      }
+    }
+  },
+  "splits": {
+    "train": {
+      "name": "train",
+      "num_examples": 10800
+    },
+    "validation": {
+      "name": "validation",
+      "num_examples": 1200
+    }
+  },
+  "license": "apache-2.0",
+  "task_categories": [
+    "text-generation",
+    "question-answering"
+  ],
+  "language": [
+    "en"
+  ]
+}

train/train-00000-of-00001.parquet

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+oid sha256:6a4b64d3a5164a5b46534e2f484e6b6023389e7073490a1c56c30af945561d90
+size 1371450

validation/dataset_info.json

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+{
+  "builder_name": "Rust-Coder",
+  "dataset_name": "Rust-Coder",
+  "dataset_size": 12000,
+  "description": "A comprehensive text dataset for Rust programming language learning, featuring instructions, code snippets, and detailed explanations.",
+  "features": {
+    "id": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "instruction": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "code": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "explanation": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "category": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "topic": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "metadata": {
+      "adjective": {
+        "dtype": "string",
+        "_type": "Value"
+      },
+      "verb": {
+        "dtype": "string",
+        "_type": "Value"
+      },
+      "context": {
+        "dtype": "string",
+        "_type": "Value"
+      },
+      "length": {
+        "dtype": "int64",
+        "_type": "Value"
+      }
+    }
+  },
+  "splits": {
+    "train": {
+      "name": "train",
+      "num_examples": 10800
+    },
+    "validation": {
+      "name": "validation",
+      "num_examples": 1200
+    }
+  },
+  "license": "apache-2.0",
+  "task_categories": [
+    "text-generation",
+    "question-answering"
+  ],
+  "language": [
+    "en"
+  ]
+}

validation/validation-00000-of-00001.parquet

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+oid sha256:e9c0dcc96a3e638a1ca668c26cdc8e7104e82610ce692f43c78e569bcb8bc486
+size 180847