updated format for icde paper 2

README.md

@@ -35,23 +35,27 @@ dataset_info:
   features:
     - name: table_id
       dtype: string
-    - name: table_csv_path
+    - name: dataset_type
       dtype: string
-    - name: table_image_url
+    - name: table_as_csv
       dtype: string
-    - name: table_image_local_path
+    - name: table_as_html
       dtype: string
-    - name: table_csv_format
+    - name: table_as_markdown
       dtype: string
-    - name: table_properties
+    - name: table_image_local_path_within_github_repo
+      dtype: string
+    - name: table_image_url
+      dtype: string
+    - name: table_properties_metadata
       dtype: string
     - name: question_id
       dtype: string
     - name: question
       dtype: string
-    - name: question_template
+    - name: question_template_for_synthetic_only
       dtype: string
-    - name: question_properties
+    - name: question_properties_metadata
       dtype: string
     - name: answer
       dtype: string
@@ -59,8 +63,6 @@ dataset_info:
       dtype: string
     - name: prompt_without_system
       dtype: string
-    - name: dataset_type
-      dtype: string
   description: >
     Human Centric Tables Question Answering (HCTQA) is a benchmark designed for evaluating
     the performance of LLMs on question answering over complex, real-world and synthetic tables.
@@ -118,33 +120,33 @@ Each entry in the dataset is a dictionary with the following structure:
 ```json
 {
   "table_id": "arxiv--1--1118",
-  "table_info": {
-    "table_csv_path": "../tables/csvs/arxiv--1--1118.csv",
+  "dataset_type": "arxiv",
+  "table_data": {
+    "table_as_csv": ",0,1,2\n0,Domain,Average Text Length,Aspects Identified\n1,Journalism,50,44\n...",
+    "table_as_html": "<table><tr><th>Domain</th><th>Average Text Length</th>...",
+    "table_as_markdown": "| Domain | Average Text Length | Aspects Identified |...",
+    "table_image_local_path_within_github_repo": "tables/images/arxiv--1--1118.jpg",
     "table_image_url": "https://hcsdtables.qcri.org/datasets/all_images/arxiv_1_1118.jpg",
-    "table_image_local_path": "../tables/images/arxiv--1--1118.jpg",
-    "table_properties": {
+    "table_properties_metadata": {
       "Standard Relational Table": true,
       "Row Nesting": false,
-      "Column Aggregation": false,
-      ...
-    },
-    "table_formats": {
-      "csv": ",0,1,2\n0,Domain,Average Text Length,Aspects Identified\n1,Journalism,50,44\n..."
+      "Column Aggregation": false
     }
   },
   "questions": [
     {
       "question_id": "arxiv--1--1118--M0",
       "question": "Report the Domain and the Average Text Length where the Aspects Identified equals 72",
-      "gt": "{Psychology | 86} || {Linguistics | 90}",
-      "question_properties": {
+      "question_template_for_synthetic_only": "Report [column_1] and [column_2] where [column_3] equals [value]",
+      "question_properties_metadata": {
         "Row Filter": true,
         "Aggregation": false,
-        "Returned Columns": true,
-        ...
-      }
+        "Returned Columns": true
+      },
+      "answer": "{Psychology | 86} || {Linguistics | 90}",
+      "prompt": "<system>...</system><user>...</user>",
+      "prompt_without_system": "<user>...</user>"
     }
-    ...
   ]
 }
 ```

test.parquet

@@ -1,3 +1,3 @@
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-size 4283963
+oid sha256:faf51ca1276fd3e9d317dd467106bf3a032067d6962879cf8b8462c8566bb1a5
+size 16348170

train.parquet

@@ -1,3 +1,3 @@
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-oid sha256:72752e980c973f236fee0b80b6f6334e551cb1cdb598a7bfbb1415e5f1331f24
-size 36800160
+oid sha256:b44413abf46e7d6806a47150d02f4ae7e8d6eaec7b831e67809d70be047ee562
+size 143274417

val.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:dcc9887392a7b17b6fc08f39f5c087e8e7590b86e88c34ec8c07c99fd129bbeb
-size 4145128
+oid sha256:85834b08a59832eb68cf89c933c0b5b38d44b63b38835899fe84c920946f0878
+size 15650002