add-meta (#2)

- Add metadatas for documents and questions (64dc6970f21a86dff1bf70df56212383ca502a33)
- Update README.md (0d95ecc19681e46789bab9744e82e7ed25556e4b)

README.md

@@ -11,6 +11,102 @@ source_datasets:
 - extended|allganize/RAG-Evaluation-Dataset-KO
 task_categories:
 - other
+dataset_info:
+  - config_name: default
+    features:
+      - name: __key__
+        dtype: string
+      - name: __url__
+        dtype: string
+      - name: json
+        struct:
+          - name: domain
+            dtype: string
+          - name: file_name
+            dtype: string
+          - name: page_number
+            dtype: int64
+          - name: pages
+            dtype: int64
+          - name: pid
+            dtype: string
+          - name: test_cases
+            list:
+              - name: context_type
+                dtype: string
+              - name: pid
+                dtype: string
+              - name: qid
+                dtype: string
+              - name: question
+                dtype: string
+              - name: target_answer
+                dtype: string
+              - name: target_page_no
+                dtype: string
+      - name: pdf
+        dtype: binary
+    splits:
+      - name: test
+        num_bytes: 460216362
+        num_examples: 1450
+    download_size: 429930358
+    dataset_size: 460216362
+  - config_name: documents_meta
+    features:
+      - name: pid
+        dtype: string
+      - name: domain
+        dtype: string
+      - name: file_name
+        dtype: string
+      - name: pages
+        dtype: int64
+      - name: qid_count
+        dtype: int64
+      - name: qid_list
+        sequence: string
+    splits:
+      - name: meta
+        num_bytes: 9762
+        num_examples: 64
+    download_size: 8728
+    dataset_size: 9762
+  - config_name: questions_meta
+    features:
+      - name: qid
+        dtype: string
+      - name: question
+        dtype: string
+      - name: pid
+        dtype: string
+      - name: file_name
+        dtype: string
+      - name: target_page_no
+        dtype: string
+      - name: context_type
+        dtype: string
+      - name: target_answer
+        dtype: string
+    splits:
+      - name: meta
+        num_bytes: 192716
+        num_examples: 300
+    download_size: 102039
+    dataset_size: 192716
+configs:
+  - config_name: default
+    data_files:
+      - split: test
+        path: data/test-*
+  - config_name: documents_meta
+    data_files:
+      - split: meta
+        path: documents_meta/meta-*
+  - config_name: questions_meta
+    data_files:
+      - split: meta
+        path: questions_meta/meta-*
 ---
 
 # Dataset Card for Reconstructed RAG Evaluation Dataset (KO)
@@ -75,7 +171,7 @@ The dataset is in Korean (`ko`).
 * 원본 데이터에서 `allganize/RAG-Evaluation-Dataset-KO`, `documents.csv`와 유사한 구조로 데이터를 로드하는 코드.
   * 분리된 pdf binary는 병합하여 로컬 경로에 pdf파일로 저장함.
   
-```
+```python
 import os
 from typing import List
 from itertools import groupby
@@ -147,4 +243,9 @@ def load_rag_eval_data(target_pdf_dir:str):
         }
         
     return qa_df, pdf_meta_dict
+
+
+# Load Metadata
+documents_meta = datasets.load_dataset("datalama/RAG-Evaluation-Dataset-KO", name="documents_meta") # 64개 문서에 대한 메타데이터
+questions_meta = datasets.load_dataset("datalama/RAG-Evaluation-Dataset-KO", split="questions_meta") # 300개 질문에 대한 메타데이터
 ```

data/test-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cb1b2cf0110aeab7775a749fb36bd7114d5a3c123286b587542c02f962b9891c
+size 429930358

documents_meta/meta-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:14ada05522ef03d62b12f7d9f88683d83bd4fd88c3f983e3947538366d2ce1f4
+size 8728

questions_meta/meta-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:95e9a9c53db2276b2c5bd4066b0f5178ef2a62e51785a0a0de439378a10f13b1
+size 102039