Update README.md

README.md

@@ -1,7 +1,7 @@
 # Original Dataset + Tokenized Data + (Buggy + Fixed Embedding Pairs) + Difference Embeddings
 
 ## Overview
-This repository contains 4 related datasets for [your use case]:
+This repository contains 4 related datasets for training a transformation from buggy to fixed code embeddings:
 
 ## Datasets Included
 
@@ -9,36 +9,80 @@ This repository contains 4 related datasets for [your use case]:
 - **Description**: Legacy RunBugRun Dataset
 - **Format**: Parquet file with buggy-fixed code pairs, bug labels, and language
 - **Size**: 456,749 samples
-- **Load with**: dataset = load_dataset("NicholasOgenstad/my-runbugrun-dataset-filtered", split="train")
+- **Load with**: 
+```python
+from datasets import load_dataset
+
+dataset = load_dataset(
+    "ASSERT-KTH/RunBugRun-Final",
+    split="train"
+)
+buggy = dataset['buggy_code']
+fixed = dataset['fixed_code']
 
 ### 2. Difference Embeddings (`diff_embeddings_chunk_XXXX.pkl`)
 - **Description**: ModernBERT-large embeddings for buggy-fixed pairs. The difference is Fixed embedding - Buggy embedding. 1024 dimensional vector.
 - **Format**: Pickle file with XXXX arrays
 - **Dimensions**: 456,749 × 1024, split among the different files, most 20000, last one shorter.
-- **Load with**: XXXX
+- **Load with**:
+```python
+from huggingface_hub import hf_hub_download
+import pickle
+
+repo_id = "ASSERT-KTH/RunBugRun-Final"
+diff_embeddings = []
+
+for chunk_num in range(23):
+    file_path = hf_hub_download(
+        repo_id=repo_id,
+        filename=f"Embeddings_RBR/diff_embeddings/diff_embeddings_chunk_{chunk_num:04d}.pkl",
+        repo_type="dataset"
+    )
+    with open(file_path, 'rb') as f:
+        data = pickle.load(f)
+        diff_embeddings.extend(data.tolist())
 
 ### 3. Tokens (`token_embeddings.pkl`)
 - **Description**: Original Dataset tokenized, pairs of Buggy and Fixed code.
 - **Format**: Pickle file XXXX
-- **Load with**: XXXX
-
-### 4. Buggy + Fixed Embeddings(`tokenized_data.json`)
+- **Load with**:
+```python
+from huggingface_hub import hf_hub_download
+import pickle
+
+repo_id = "ASSERT-KTH/RunBugRun-Final"
+tokenized_data = []
+
+for chunk_num in range(23):
+    file_path = hf_hub_download(
+        repo_id=repo_id,
+        filename=f"Embeddings_RBR/tokenized_data/chunk_{chunk_num:04d}.pkl",
+        repo_type="dataset"
+    )
+    with open(file_path, 'rb') as f:
+        data = pickle.load(f)
+        tokenized_data.extend(data)
+
+### 4. Buggy + Fixed Embeddings (`tokenized_data.json`)
 - **Description**: Preprocessed tokenized sequences
-- **Format**: Pickle file XXXX
-- **Load with**: XXXX
-
-## Usage Examples
-
+- **Format**: Pickle file with dictionaries containing 'buggy_embeddings' and 'fixed_embeddings' keys
+- **Load with**:
 ```python
-# Load original dataset
-
-
-# Load tokens
-
-
-# Load diff embeddings
-
-
-# Load buggy fixed embedding pairs
-
+from huggingface_hub import hf_hub_download
+import pickle
+
+repo_id = "ASSERT-KTH/RunBugRun-Final"
+buggy_list = []
+fixed_list = []
+
+for chunk_num in range(23):
+    file_path = hf_hub_download(
+        repo_id=repo_id,
+        filename=f"Embeddings_RBR/buggy_fixed_embeddings/buggy_fixed_embeddings_chunk_{chunk_num:04d}.pkl",
+        repo_type="dataset"
+    )
+    with open(file_path, 'rb') as f:
+        data = pickle.load(f)
+        buggy_list.extend(data['buggy_embeddings'].tolist())
+        fixed_list.extend(data['fixed_embeddings'].tolist())