Mark which questions each experiment uses

README.md

@@ -107,6 +107,9 @@ Natural-video-specific columns:
 | `event_timing` | `measured` (EPIC: extent from narration) or `centered_by_construction` (SoccerNet: labels give an instant, so the clip is centred on it with a nominal 2 s window) |
 | `clip_sha256` | sha256 of the exact mp4 published at `media_config`/`video_path`. `null` only where the media is NDA-gated |
 | `label_source` | how the label was derived: `designed` for the designed questions, one of `narration_margin` / `whole_video_absence` / `labels_v2_window` / `labels_v2_window_absence` for the mined ones; `annotation_corrected` where the answer was re-checked against the source annotations and corrected |
+| `in_density_comparison` | Whether the paper's natural-video density comparison uses this question (the accuracy-versus-compute figure and the band-composition and band-contrast tables). At L=512 and L=1024 the question subsets differ by model; true means at least one model. |
+| `in_calibration` | Whether the paper's natural-video calibration experiment uses this question (the coverage and selectivity figures and the calibration table). |
+| `in_rag_comparison` | Whether the paper's retrieval (RAG) versus full-video comparison uses this question. |
 | `query_class` | the class this question asks about |
 | `question_time` | when the question is put, in clip seconds. Always `length_L`: the whole stream is shown first |
 | `source_provenance` | JSON, on every row: `source_video_id`, `clip_start/end_in_source_seconds`, `event_position/end_in_source_seconds`, `event_type`, `slowdown_factor`, `anomaly_label`, plus SoccerNet match/half/path/entry-id |

metadata.json

@@ -131,8 +131,8 @@
    "description": "Parquet file for the natural_video config (EPIC-Kitchens-100 derived clips and SoccerNet provenance metadata).",
    "contentUrl": "https://huggingface.co/datasets/anonstreammem/substream-recollection/resolve/main/natural_video/questions.parquet",
    "encodingFormat": "application/x-parquet",
-   "contentSize": "159263",
-   "sha256": "f8534301d8d116314f9d9a82ba4d66066f7ae57b44b8c79ab0302c5fc72a4a73"
+   "contentSize": "160120",
+   "sha256": "217b2643c7d27a5ea2f31b990dd81024d6741c427bdaea301c55cbbfcc7be760"
   },
   {
    "@type": "cr:FileObject",
@@ -171,8 +171,8 @@
    "description": "Nested-shape manifest.json for the natural_video config \u2014 directly ingestible by the project's main.py. One video per question (1015 entries). No token/lane structure.",
    "contentUrl": "https://huggingface.co/datasets/anonstreammem/substream-recollection/resolve/main/natural_video/manifest.json",
    "encodingFormat": "application/json",
-   "contentSize": "1568981",
-   "sha256": "243e411d360ff0971a224b7635b94a0ddc407f3f63bef8c5aa610a33f74efcd5"
+   "contentSize": "1738953",
+   "sha256": "e38e886b10a8a46119e48cab626b941dd9253967659fab780cdee1568f0c82ea"
   },
   {
    "@type": "cr:FileObject",
@@ -1419,6 +1419,51 @@
        "column": "question_set"
       }
      }
+    },
+    {
+     "@type": "cr:Field",
+     "@id": "natural_video/in_density_comparison",
+     "name": "in_density_comparison",
+     "description": "Whether the paper's natural-video density comparison uses this question (the accuracy-versus-compute figure and the band-composition and band-contrast tables). At L=512 and L=1024 the question subsets differ by model; true means at least one model.",
+     "dataType": "sc:Boolean",
+     "source": {
+      "fileObject": {
+       "@id": "natural_video-parquet"
+      },
+      "extract": {
+       "column": "in_density_comparison"
+      }
+     }
+    },
+    {
+     "@type": "cr:Field",
+     "@id": "natural_video/in_calibration",
+     "name": "in_calibration",
+     "description": "Whether the paper's natural-video calibration experiment uses this question (the coverage and selectivity figures and the calibration table).",
+     "dataType": "sc:Boolean",
+     "source": {
+      "fileObject": {
+       "@id": "natural_video-parquet"
+      },
+      "extract": {
+       "column": "in_calibration"
+      }
+     }
+    },
+    {
+     "@type": "cr:Field",
+     "@id": "natural_video/in_rag_comparison",
+     "name": "in_rag_comparison",
+     "description": "Whether the paper's retrieval (RAG) versus full-video comparison uses this question.",
+     "dataType": "sc:Boolean",
+     "source": {
+      "fileObject": {
+       "@id": "natural_video-parquet"
+      },
+      "extract": {
+       "column": "in_rag_comparison"
+      }
+     }
     }
    ]
   },

natural_video/questions.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f8534301d8d116314f9d9a82ba4d66066f7ae57b44b8c79ab0302c5fc72a4a73
-size 159263
+oid sha256:217b2643c7d27a5ea2f31b990dd81024d6741c427bdaea301c55cbbfcc7be760
+size 160120