Point the Croissant metadata at eth-ivia-lab/STRIDE-Bench

The Croissant files still referenced the earlier dataset sweetspot000/tqa-benchmark. Only the dataset and contentUrl links change; the data files are unchanged.

croissant/benchmark.croissant.json

@@ -44,7 +44,7 @@
   "description": "Behavioral evaluation specs for the STRIDE-Bench crowd trajectory benchmark. Each row is one scene with a natural-language scenario description and a decomposition into behavioral evaluation questions (Trajectory Question Answering / TQA), each grounded in one or more measurement functions with expected value ranges and tolerances.",
   "conformsTo": "http://mlcommons.org/croissant/1.0",
   "license": "https://choosealicense.com/licenses/mit/",
-  "url": "https://huggingface.co/datasets/sweetspot000/tqa-benchmark",
+  "url": "https://huggingface.co/datasets/eth-ivia-lab/STRIDE-Bench",
   "version": "1.0.0",
   "datePublished": "2026-04-20",
   "keywords": [
@@ -70,7 +70,7 @@
       "@id": "benchmark-jsonl",
       "name": "benchmark.jsonl",
       "description": "JSON Lines: one scene per line. Each line contains the scene's scenario description, behavioral category, decomposition reasoning, and a list of behavioral evaluation questions with measurement specs.",
-      "contentUrl": "https://huggingface.co/datasets/sweetspot000/tqa-benchmark/resolve/main/benchmark.jsonl",
+      "contentUrl": "https://huggingface.co/datasets/eth-ivia-lab/STRIDE-Bench/resolve/main/benchmark.jsonl",
       "encodingFormat": "application/jsonlines",
       "sha256": "8b44947d2e0281edfd2274ec403b7087af18e8ec1a04ffeb22837f1c90d52800",
       "contentSize": "7228940 B"

croissant/maps.croissant.json

@@ -44,7 +44,7 @@
   "description": "Per-scene map data for STRIDE-Bench: obstacle rectangles (originally stored as map.npz with key 'obstacles', shape (N, 4)) and a rendered obstacle PNG, packed into a single Parquet table with one row per scene.",
   "conformsTo": "http://mlcommons.org/croissant/1.0",
   "license": "https://choosealicense.com/licenses/mit/",
-  "url": "https://huggingface.co/datasets/sweetspot000/tqa-benchmark",
+  "url": "https://huggingface.co/datasets/eth-ivia-lab/STRIDE-Bench",
   "version": "1.0.0",
   "datePublished": "2026-04-20",
   "keywords": [
@@ -70,7 +70,7 @@
       "@id": "maps-parquet",
       "name": "maps.parquet",
       "description": "Parquet table of per-scene map data: obstacle rectangles (N x 4 float64) and a rendered obstacle PNG. One row per scene.",
-      "contentUrl": "https://huggingface.co/datasets/sweetspot000/tqa-benchmark/resolve/main/maps.parquet",
+      "contentUrl": "https://huggingface.co/datasets/eth-ivia-lab/STRIDE-Bench/resolve/main/maps.parquet",
       "encodingFormat": "application/x-parquet",
       "sha256": "1a15c3423dba429e9c805c05eb4afb42525efacce7931dd1991a05664cc0c6c4",
       "contentSize": "7735446 B"

croissant/rai/croissant_rai_STRIDE-Bench-benchmark.json

@@ -45,7 +45,7 @@
   "description": "Behavioral evaluation specs for the STRIDE-Bench crowd trajectory benchmark. Each row is one scene with a natural-language scenario description and a decomposition into behavioral evaluation questions (Trajectory Question Answering / TQA), each grounded in one or more measurement functions with expected value ranges and tolerances.",
   "conformsTo": "http://mlcommons.org/croissant/1.0",
   "license": "https://choosealicense.com/licenses/mit/",
-  "url": "https://huggingface.co/datasets/sweetspot000/tqa-benchmark",
+  "url": "https://huggingface.co/datasets/eth-ivia-lab/STRIDE-Bench",
   "version": "1.0.0",
   "datePublished": "2026-04-20",
   "keywords": [
@@ -71,7 +71,7 @@
       "@id": "benchmark-jsonl",
       "name": "benchmark.jsonl",
       "description": "JSON Lines: one scene per line. Each line contains the scene's scenario description, behavioral category, decomposition reasoning, and a list of behavioral evaluation questions with measurement specs.",
-      "contentUrl": "https://huggingface.co/datasets/sweetspot000/tqa-benchmark/resolve/main/benchmark.jsonl",
+      "contentUrl": "https://huggingface.co/datasets/eth-ivia-lab/STRIDE-Bench/resolve/main/benchmark.jsonl",
       "encodingFormat": "application/jsonlines",
       "sha256": "8b44947d2e0281edfd2274ec403b7087af18e8ec1a04ffeb22837f1c90d52800",
       "contentSize": "7228940 B"

croissant/rai/croissant_rai_STRIDE-Bench-maps.json

@@ -45,7 +45,7 @@
   "description": "Per-scene map data for STRIDE-Bench: obstacle rectangles (originally stored as map.npz with key 'obstacles', shape (N, 4)) and a rendered obstacle PNG, packed into a single Parquet table with one row per scene.",
   "conformsTo": "http://mlcommons.org/croissant/1.0",
   "license": "https://choosealicense.com/licenses/mit/",
-  "url": "https://huggingface.co/datasets/sweetspot000/tqa-benchmark",
+  "url": "https://huggingface.co/datasets/eth-ivia-lab/STRIDE-Bench",
   "version": "1.0.0",
   "datePublished": "2026-04-20",
   "keywords": [
@@ -71,7 +71,7 @@
       "@id": "maps-parquet",
       "name": "maps.parquet",
       "description": "Parquet table of per-scene map data: obstacle rectangles (N x 4 float64) and a rendered obstacle PNG. One row per scene.",
-      "contentUrl": "https://huggingface.co/datasets/sweetspot000/tqa-benchmark/resolve/main/maps.parquet",
+      "contentUrl": "https://huggingface.co/datasets/eth-ivia-lab/STRIDE-Bench/resolve/main/maps.parquet",
       "encodingFormat": "application/x-parquet",
       "sha256": "1a15c3423dba429e9c805c05eb4afb42525efacce7931dd1991a05664cc0c6c4",
       "contentSize": "7735446 B"

croissant/rai/croissant_rai_STRIDE-Bench-scenes.json

@@ -45,7 +45,7 @@
   "description": "Crowd-simulation scenes for STRIDE-Bench: scenario metadata, initial agent states (position/velocity/goal/radius), group structure, and per-scene expected behavioral ranges. Distributed as a single Parquet table with one row per scene; nested fields whose runtime types vary (e.g. goal_location_*) are stored as JSON-encoded strings.",
   "conformsTo": "http://mlcommons.org/croissant/1.0",
   "license": "https://choosealicense.com/licenses/mit/",
-  "url": "https://huggingface.co/datasets/sweetspot000/tqa-benchmark",
+  "url": "https://huggingface.co/datasets/eth-ivia-lab/STRIDE-Bench",
   "version": "1.0.0",
   "datePublished": "2026-04-20",
   "keywords": [
@@ -71,7 +71,7 @@
       "@id": "scenes-parquet",
       "name": "scenes.parquet",
       "description": "Parquet table of crowd-simulation scenes: scenario metadata, initial agent states, group structure, goal locations, and expected behavioral ranges. One row per scene.",
-      "contentUrl": "https://huggingface.co/datasets/sweetspot000/tqa-benchmark/resolve/main/scenes.parquet",
+      "contentUrl": "https://huggingface.co/datasets/eth-ivia-lab/STRIDE-Bench/resolve/main/scenes.parquet",
       "encodingFormat": "application/x-parquet",
       "sha256": "b73edd5a977fc7525330a83ba8a61218953933febdd7de66b27116ff68bd835f",
       "contentSize": "5641744 B"

croissant/scenes.croissant.json

@@ -44,7 +44,7 @@
   "description": "Crowd-simulation scenes for STRIDE-Bench: scenario metadata, initial agent states (position/velocity/goal/radius), group structure, and per-scene expected behavioral ranges. Distributed as a single Parquet table with one row per scene; nested fields whose runtime types vary (e.g. goal_location_*) are stored as JSON-encoded strings.",
   "conformsTo": "http://mlcommons.org/croissant/1.0",
   "license": "https://choosealicense.com/licenses/mit/",
-  "url": "https://huggingface.co/datasets/sweetspot000/tqa-benchmark",
+  "url": "https://huggingface.co/datasets/eth-ivia-lab/STRIDE-Bench",
   "version": "1.0.0",
   "datePublished": "2026-04-20",
   "keywords": [
@@ -70,7 +70,7 @@
       "@id": "scenes-parquet",
       "name": "scenes.parquet",
       "description": "Parquet table of crowd-simulation scenes: scenario metadata, initial agent states, group structure, goal locations, and expected behavioral ranges. One row per scene.",
-      "contentUrl": "https://huggingface.co/datasets/sweetspot000/tqa-benchmark/resolve/main/scenes.parquet",
+      "contentUrl": "https://huggingface.co/datasets/eth-ivia-lab/STRIDE-Bench/resolve/main/scenes.parquet",
       "encodingFormat": "application/x-parquet",
       "sha256": "b73edd5a977fc7525330a83ba8a61218953933febdd7de66b27116ff68bd835f",
       "contentSize": "5641744 B"