changed croissant file

.gitattributes

@@ -57,3 +57,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+WebsiteFiles.tar.gz filter=lfs diff=lfs merge=lfs -text

.gitignore

@@ -1 +1,2 @@
-Website/
+Website/
+WebsiteFiles*

dataset_description.json

@@ -1,11 +1,36 @@
 {
-    "@context": {
-      "@vocab": "https://schema.org/",
-      "dct": "http://purl.org/dc/terms/",
-      "conformsTo": "dct:conformsTo"
-    },
-    "@type": "Dataset",
-    "name": "WebDS",
-    "conformsTo": "http://mlcommons.org/croissant/1.0"
-  }
-  
+  "@context": {
+    "@vocab": "https://schema.org/",
+    "dct": "http://purl.org/dc/terms/",
+    "conformsTo": "dct:conformsTo"
+  },
+  "@type": "Dataset",
+  "name": "WebDS",
+  "description": "WebDS is a reproducible benchmark dataset for evaluating LLM agents on complex web-based data science tasks. It comprises 870 tasks across 29 containerized websites and 10 domains. Each task simulates realistic end-to-end workflows including data acquisition, tool use, analysis, reasoning, and reporting. Tasks span multiple modalities, structured and unstructured data, and multihop reasoning, and are annotated with fine-grained attributes and difficulty levels.",
+  "conformsTo": "http://mlcommons.org/croissant/1.0",
+  "license": "https://creativecommons.org/licenses/by/4.0/",
+  "keywords": [
+    "web-based data science",
+    "benchmark",
+    "LLM agents",
+    "multi-hop reasoning",
+    "tool use",
+    "agent evaluation"
+  ],
+  "creator": {
+    "@type": "Organization",
+    "name": "Stanford University, UC Berkeley, SUTD, USC"
+  },
+  "includedInDataCatalog": {
+    "@type": "DataCatalog",
+    "name": "MLCommons Croissant Benchmarks"
+  },
+  "spatialCoverage": {
+    "@type": "Place",
+    "name": "Web-based / Global"
+  },
+  "temporalCoverage": "2025",
+  "datePublished": "2025-05-15",
+  "version": "1.0",
+  "isAccessibleForFree": true
+}