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# Python Training Dataset

This repository contains a pre-tokenized dataset in Apache Arrow format designed for training or fine-tuning language models on Python programming concepts and code.

---

## Dataset Details

* **Dataset Name:** `python-training-dataset`
* **Format:** Apache Arrow (`.arrow`)


* **License:** Python Software Foundation License 2.0 (`psf2`)


* **Data Splits:** Single-shard train/default set (`data-00000-of-00001.arrow`)



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## Dataset Structure

### Feature Schema

The dataset contains tokenized numerical sequences ready for model ingestion:

| Feature Name | Type | Description |
| --- | --- | --- |
| `input_ids` | `List(int32)` | Tokenized integer IDs representing input sequences

|

### Data Fields

* **`input_ids`**: A list of 32-bit integers representing sequence token IDs generated from a language model tokenizer.



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## Usage

You can load and inspect this dataset directly using Hugging Face's `datasets` library:

```python
from datasets import load_dataset

# Load dataset from the hub
dataset = load_dataset("JayeshSharma/python-training-dataset")

# Inspect a sample
print(dataset)
print(dataset["train"][0])

```

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## Intended Use

* **Primary Application:** Model pre-training, fine-tuning, or sequence modeling on tokenized Python code.


* **Out-of-Scope:** Raw text analysis without decoding token IDs back to string format using the original tokenizer.

data-00000-of-00001.arrow

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+size 223489152

dataset_info.json

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+{
+  "citation": "",
+  "description": "",
+  "features": {
+    "input_ids": {
+      "feature": {
+        "dtype": "int32",
+        "_type": "Value"
+      },
+      "_type": "List"
+    }
+  },
+  "homepage": "",
+  "license": ""
+}

state.json

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+{
+  "_data_files": [
+    {
+      "filename": "data-00000-of-00001.arrow"
+    }
+  ],
+  "_fingerprint": "6d1b5cba9609ecb2",
+  "_format_columns": null,
+  "_format_kwargs": {},
+  "_format_type": null,
+  "_output_all_columns": false,
+  "_split": null
+}