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README.md

@@ -1,29 +1,60 @@
 ---
-dataset_info:
-  features:
-  - name: file_name
-    dtype: string
-  - name: text
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 2453512
-    num_examples: 172
-  - name: validation
-    num_bytes: 377167
-    num_examples: 21
-  - name: test
-    num_bytes: 245489
-    num_examples: 21
-  download_size: 1038195
-  dataset_size: 3076168
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: validation
-    path: data/validation-*
-  - split: test
-    path: data/test-*
+language:
+- en
+license: apache-2.0
+task_categories:
+- text-generation
+- fill-mask
+tags:
+- code
+- python
+- verl
+- repo-specific-finetuning
+pretty_name: Verl Code Corpus (File Holdout Split)
+size_categories:
+- n<1K
 ---
+
+# archit11/verl-code-corpus-track-a-file-split
+
+Repository-specific code corpus extracted from the `verl` project and split by file for training/evaluation.
+
+## What is in this dataset
+
+- Source corpus: `data/code_corpus_verl`
+- Total files: 214
+- Train files: 172
+- Validation files: 21
+- Test files: 21
+- File type filter: .py
+- Split mode: `file` (file-level holdout)
+
+Each row has:
+
+- `file_name`: flattened source file name
+- `text`: full file contents
+
+## Training context
+
+This dataset was used for extended pretraining of:
+
+- Model repo: `https://huggingface.co/archit11/qwen2.5-coder-3b-verl-track-a-lora`
+- Base model: `/root/.cache/huggingface/hub/models--Qwen--Qwen2.5-Coder-3B/snapshots/09d9bc5d376b0cfa0100a0694ea7de7232525803`
+- Sequence curriculum: [768, 1024]
+- Learning rate: 0.0001
+- Batch size: 8
+
+Evaluation from this run:
+
+- Baseline perplexity (val/test): 3.1820 / 2.7764
+- Post-training perplexity (val/test): 2.7844 / 2.2379
+
+## Load with datasets
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("archit11/verl-code-corpus-track-a-file-split")
+print(ds)
+print(ds["train"][0]["file_name"])
+```