Duplicate from Shuu12121/python-treesitter-dedupe-filtered-datasetsV2

Co-authored-by: Shuu12121 <Shuu12121@users.noreply.huggingface.co>

.gitattributes

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+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
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+# Audio files - uncompressed
+*.pcm filter=lfs diff=lfs merge=lfs -text
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+# Audio files - compressed
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+*.jpg filter=lfs diff=lfs merge=lfs -text
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+# Video files - compressed
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README.md

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+---
+license: apache-2.0
+language:
+- en
+tags:
+- python
+- code-search
+- text-to-code
+- code-to-text
+- source-code
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+  - split: validation
+    path: data/validation-*
+  - split: test
+    path: data/test-*
+dataset_info:
+  features:
+  - name: code
+    dtype: string
+  - name: docstring
+    dtype: string
+  - name: func_name
+    dtype: string
+  - name: language
+    dtype: string
+  - name: repo
+    dtype: string
+  - name: path
+    dtype: string
+  - name: url
+    dtype: string
+  - name: license
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 1532905820
+    num_examples: 776900
+  - name: validation
+    num_bytes: 27723451
+    num_examples: 15599
+  - name: test
+    num_bytes: 29707368
+    num_examples: 15926
+  download_size: 464989246
+  dataset_size: 1590336639
+---
+
+# Python CodeSearch Dataset (Shuu12121/python-treesitter-dedupe-filtered-datasetsV2)
+
+## Dataset Description
+This dataset contains Python functions paired with their documentation strings (docstrings), extracted from open-source Python repositories on GitHub.
+It is formatted similarly to the CodeSearchNet challenge dataset.
+
+Each entry includes:
+- `code`: The source code of a python function or method.
+- `docstring`: The docstring or Javadoc associated with the function/method.
+- `func_name`: The name of the function/method.
+- `language`: The programming language (always "python").
+- `repo`: The GitHub repository from which the code was sourced (e.g., "owner/repo").
+- `path`: The file path within the repository where the function/method is located.
+- `url`: A direct URL to the function/method's source file on GitHub (approximated to master/main branch).
+- `license`: The SPDX identifier of the license governing the source repository (e.g., "MIT", "Apache-2.0").
+Additional metrics if available (from Lizard tool):
+- `ccn`: Cyclomatic Complexity Number.
+- `params`: Number of parameters of the function/method.
+- `nloc`: Non-commenting lines of code.
+- `token_count`: Number of tokens in the function/method.
+
+## Dataset Structure
+The dataset is divided into the following splits:
+
+- `train`: 776,900 examples
+- `validation`: 15,599 examples
+- `test`: 15,926 examples
+
+## Data Collection
+The data was collected by:
+1. Identifying popular and relevant Python repositories on GitHub.
+2. Cloning these repositories.
+3. Parsing Python files (`.py`) using tree-sitter to extract functions/methods and their docstrings/Javadoc.
+4. Filtering functions/methods based on code length and presence of a non-empty docstring/Javadoc.
+5. Using the `lizard` tool to calculate code metrics (CCN, NLOC, params).
+6. Storing the extracted data in JSONL format, including repository and license information.
+7. Splitting the data by repository to ensure no data leakage between train, validation, and test sets.
+
+## Intended Use
+This dataset can be used for tasks such as:
+- Training and evaluating models for code search (natural language to code).
+- Code summarization / docstring generation (code to natural language).
+- Studies on Python code practices and documentation habits.
+
+## Licensing
+The code examples within this dataset are sourced from repositories with permissive licenses (typically MIT, Apache-2.0, BSD).
+Each sample includes its original license information in the `license` field.
+The dataset compilation itself is provided under a permissive license (e.g., MIT or CC-BY-SA-4.0),
+but users should respect the original licenses of the underlying code.
+
+## Example Usage
+```python
+from datasets import load_dataset
+
+# Load the dataset
+dataset = load_dataset("Shuu12121/python-treesitter-dedupe-filtered-datasetsV2")
+
+# Access a split (e.g., train)
+train_data = dataset["train"]
+
+# Print the first example
+print(train_data[0])
+```

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