Reorganize: 3 top-level splits + standardized bucket names + single Croissant

Move from 5 root-level parquets + 8 video dirs to a clean 3-split layout:
- text/{questions.parquet,questions.json}
- synthetic_video/{questions.parquet,questions.json,videos/L_<L>_frames/...}
- natural_video/{questions.parquet,questions.json,videos/nat_<L>_frames/...}
Single top-level Croissant 1.0 metadata.json covering all 3 RecordSets.
Renamed exact1fps_* buckets -> nat_<L>_frames. SoccerNet rows kept in parquet (provenance only).

.gitattributes

@@ -58,3 +58,4 @@ 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
+text/questions.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -15,33 +15,21 @@ tags:
   - benchmark
   - video-llm
 configs:
-  - config_name: easyhuman_text
-    data_files: easyhuman_text.parquet
-  - config_name: easyhuman_video
-    data_files: easyhuman_video.parquet
-  - config_name: substream_text
-    data_files: substream_text.parquet
-  - config_name: substream_video
-    data_files: substream_video.parquet
+  - config_name: text
+    data_files: text/questions.parquet
+  - config_name: synthetic_video
+    data_files: synthetic_video/questions.parquet
   - config_name: natural_video
-    data_files: natural_video.parquet
+    data_files: natural_video/questions.parquet
 dataset_info:
-  - config_name: easyhuman_text
+  - config_name: text
     splits:
       - name: train
-        num_examples: 448
-  - config_name: easyhuman_video
+        num_examples: 8128
+  - config_name: synthetic_video
     splits:
       - name: train
-        num_examples: 224
-  - config_name: substream_text
-    splits:
-      - name: train
-        num_examples: 7680
-  - config_name: substream_video
-    splits:
-      - name: train
-        num_examples: 6080
+        num_examples: 6304
   - config_name: natural_video
     splits:
       - name: train
@@ -50,97 +38,139 @@ dataset_info:
 
 # Substream Recollection
 
-A controlled benchmark for substream membership recall in long-context VLMs and
+A controlled benchmark for substream-membership recall in long-context VLMs and
 LLMs. Each row is a `(stream, probe, label)` tuple: the model sees a long input
 stream and a short probe, and must answer "yes" or "no" — did the probe occur
 inside the stream?
 
-The bundle has five splits:
-
-- **easyhuman_text** — text-mode EasyHuman: comma-separated symbol streams at
-  L=256 and L=1024, with binary "did this short pattern appear?" probes.
-- **easyhuman_video** — video-mode EasyHuman at L=256: rendered 3-belt
-  conveyor videos with the same probe families as `easyhuman_text` (X/Y
-  block presence, variation absence, mistakes, invalid cycles).
-- **substream_text** — synthetic text-mode Substream Recollection. All entropy
-  bands (low / medium / uniform) at every L in {8, 16, 32, 64, 128, 256, 512,
-  1024, 2048, 4096}. Probes are sequential (subsequence-of) or spatial
-  (lane-conditioned). The text stream is the comma-joined `S_tokens` from the
-  source video.
-- **substream_video** — same `(video, question)` pairs as `substream_text`,
-  but the input is the rendered video. Restricted to L ≤ 1024 because longer
-  videos are impractical for current VLMs.
-- **natural_video** — natural-video benchmark drawn from EPIC-Kitchens-100 and
-  SoccerNet, at L ∈ {8, 16, 64, 128, 512, 1024}. Each row asks whether a named
-  event occurred in the clip. SoccerNet rows do **not** ship the underlying
-  video files; provenance metadata is provided in the `source_provenance`
-  column so the original videos can be obtained from
-  https://www.soccer-net.org/data after signing the SoccerNet NDA.
+This release reorganizes the original five-split bundle into three top-level
+splits keyed by modality + source:
+
+| split | rows | content |
+| --- | --- | --- |
+| `text` | 8,128 | text-modality questions for the synthetic substream benchmark *and* EasyHuman; the `subset` column distinguishes them. |
+| `synthetic_video` | 6,304 | rendered synthetic substream videos *and* EasyHuman 3-belt videos; `subset` distinguishes them. |
+| `natural_video` | 1,028 | EPIC-Kitchens-100 derived clips and SoccerNet provenance metadata. |
+
+## Directory layout
+
+```
+anonstreammem/substream-recollection/
+├── README.md
+├── metadata.json                 # Croissant 1.0 covering all 3 RecordSets
+├── LICENSES/
+│   ├── EPIC-Kitchens-100-CC-BY-NC-4.0.txt
+│   ├── synthetic-and-easyhuman.txt
+│   └── SoccerNet-NOTE.txt
+├── text/
+│   ├── questions.parquet         # subset in {substream, easyhuman}
+│   └── questions.json            # NDJSON copy of the parquet
+├── synthetic_video/
+│   ├── questions.parquet         # subset in {substream, easyhuman}
+│   ├── questions.json
+│   └── videos/
+│       ├── L_8_frames/
+│       ├── L_16_frames/
+│       ├── L_32_frames/
+│       ├── L_64_frames/
+│       ├── L_128_frames/
+│       ├── L_256_frames/
+│       ├── L_512_frames/
+│       ├── L_1024_frames/
+│       └── easyhuman_L_256_frames/
+└── natural_video/
+    ├── questions.parquet
+    ├── questions.json
+    └── videos/
+        ├── nat_8_frames/         # was exact1fps_short
+        ├── nat_16_frames/        # was exact1fps_B1
+        ├── nat_64_frames/        # was exact1fps_B2
+        ├── nat_128_frames/       # was exact1fps_B3
+        ├── nat_512_frames/       # was exact1fps_B4
+        └── nat_1024_frames/      # was exact1fps_B5
+```
+
+Inside each `synthetic_video/videos/L_<L>_frames/<bucket>/` you'll find the
+parent videos (e.g. `video_1_v0.mp4`) plus a `clips/` subfolder with the probe
+clips. EasyHuman uses a flatter layout with no inner bucket directory.
+
+## Loading
+
+```python
+from datasets import load_dataset
+
+text   = load_dataset("anonstreammem/substream-recollection", "text")["train"]
+synthv = load_dataset("anonstreammem/substream-recollection", "synthetic_video")["train"]
+natv   = load_dataset("anonstreammem/substream-recollection", "natural_video")["train"]
+```
+
+Video files are referenced by relative `video_path` / `clip_path` in each
+parquet. To resolve them locally, snapshot the repo:
+
+```python
+from huggingface_hub import snapshot_download
+root = snapshot_download(
+    "anonstreammem/substream-recollection",
+    repo_type="dataset",
+    allow_patterns=["synthetic_video/**", "natural_video/**", "text/**"],
+)
+```
+
+Then `Path(root) / row["video_path"]` resolves to the actual mp4.
 
 ## Schema
 
-Every parquet has the same columns:
+All three parquets share most columns. The text and synthetic_video parquets
+also carry `bucket` (original bucket id, e.g. `UNIFORM_EVAL_L0128_ELOW`,
+`len_256`) and `source_split` (the pre-merge split label). `natural_video` adds
+a `source_provenance` JSON column for SoccerNet rows.
 
 | column | type | notes |
 | --- | --- | --- |
-| `split` | str | one of the five split names |
-| `subset` | str | bucket id (e.g. `UNIFORM_EVAL_L0128_ELOW`, `len_1024`, `L=128`) |
+| `subset` | str | `substream` / `easyhuman` (text + synthetic_video) or bucket id like `L=128` (natural_video) |
+| `bucket` | str | (text + synthetic_video only) original bucket id |
+| `source_split` | str | pre-merge split label |
 | `length_L` | int64 | normalized stream length |
 | `entropy_band` | str | `low` / `medium` / `uniform` / `natural` / `easyhuman` |
 | `modality` | str | `text` or `video` |
 | `question_variant` | str | `sequential` / `spatial` / `binary_natural` / `easyhuman_binary` |
-| `video_index` | int64 | per-bucket video id; null for text-only natural rows |
+| `video_index` | int64 | per-bucket video id |
 | `question_index` | int64 | per-video question position |
-| `question_text` | str | prompt the model sees (no scaffolding) |
-| `candidate` | str (JSON) | probe metadata; null where N/A |
+| `question_text` | str | prompt the model sees |
+| `candidate` | str (JSON) | probe metadata; null when N/A |
 | `answer` | str | ground-truth label (`yes` / `no`) |
-| `clip_path` | str | relative path to the probe clip (where applicable) |
-| `video_path` | str | relative path to the parent video (where applicable) |
+| `clip_path` | str | relative path to the probe clip |
+| `video_path` | str | relative path to the parent video |
 | `dataset_source` | str | `synthetic` / `easyhuman` / `epic-kitchens-100` / `soccernet` |
-| `input_sequence` | str | comma-joined input symbols (text mode payload) |
-| `source_class` | str | natural-only event-class label |
+| `input_sequence` | str | comma-joined input symbols (text-mode payload) |
+| `source_class` | str | natural-only event class label |
 | `source_dataset` | str | natural-only origin tag |
-| `video_id` | str | canonical video id (joins to eval state files) |
+| `video_id` | str | canonical video id |
 | `question_id` | str | canonical question id |
-| `source_provenance` | str (JSON) | natural_video only; for SoccerNet rows, JSON describing the source match, half, time range, and license. Null elsewhere. |
-
-## Files
-
-- `easyhuman_text.parquet` (448 rows)
-- `easyhuman_video.parquet` (224 rows)
-- `substream_text.parquet` (7,680 rows)
-- `substream_video.parquet` (6,080 rows)
-- `natural_video.parquet` (1,028 rows)
-- `metadata.json` — Croissant 1.0 dataset description
-- `_split_sizes.json` — machine-readable split-size sidecar
-- `videos/` and `clips/` — rendered synthetic substream media (substream_video)
-- `len_256/{videos,clips}/` — rendered EasyHuman media (easyhuman_video)
-- `exact1fps_short/`, `exact1fps_B{1..5}/` — EPIC-Kitchens-100 derived clips
-  (natural_video). Each row's `video_path` column is a relative path under
-  this layout. SoccerNet rows are excluded; see `source_provenance` column.
-- `LICENSES/` — full license text for each underlying source
-
-The 78 SoccerNet-derived rows are present in `natural_video.parquet` but the
-underlying video files are **not** redistributed here (NDA-gated source);
-see `LICENSES/SoccerNet-NOTE.txt` and the `source_provenance` column.
+| `source_provenance` | str (JSON) | natural_video only; SoccerNet provenance |
 
-## Licenses
+## SoccerNet rows
 
-This bundle aggregates several sources, each under its own license:
+The 78 SoccerNet-derived rows (event class `red_card`) appear in
+`natural_video/questions.parquet` but the underlying mp4s are **not**
+redistributed here — the SoccerNet source is NDA-gated. Use the
+`source_provenance` JSON column to pull the originals from
+[https://www.soccer-net.org/data](https://www.soccer-net.org/data) after
+signing the SoccerNet NDA. See `LICENSES/SoccerNet-NOTE.txt`.
+
+## Licenses
 
 | split / source | license | file |
 | --- | --- | --- |
-| Synthetic streams (substream_text, substream_video) | CC BY 4.0, Anonymous Authors 2026 | `LICENSES/synthetic-and-easyhuman.txt` |
-| EasyHuman (easyhuman_text, easyhuman_video) | CC BY 4.0, Anonymous Authors 2026 | `LICENSES/synthetic-and-easyhuman.txt` |
-| EPIC-Kitchens-100 derived clips (natural_video) | CC BY-NC 4.0 (research use only) | `LICENSES/EPIC-Kitchens-100-CC-BY-NC-4.0.txt` |
-| SoccerNet derived clips (natural_video, provenance only) | NDA-gated source; not redistributed | `LICENSES/SoccerNet-NOTE.txt` |
+| Synthetic streams (`text/subset=substream`, `synthetic_video/subset=substream`) | CC BY 4.0, Anonymous Authors 2026 | `LICENSES/synthetic-and-easyhuman.txt` |
+| EasyHuman (`text/subset=easyhuman`, `synthetic_video/subset=easyhuman`) | CC BY 4.0, Anonymous Authors 2026 | `LICENSES/synthetic-and-easyhuman.txt` |
+| EPIC-Kitchens-100 derived clips (`natural_video`) | CC BY-NC 4.0 (research use only) | `LICENSES/EPIC-Kitchens-100-CC-BY-NC-4.0.txt` |
+| SoccerNet derived rows (`natural_video`, provenance only) | NDA-gated source; not redistributed | `LICENSES/SoccerNet-NOTE.txt` |
 
-The top-level `license: cc-by-4.0` tag in this card refers to the
+The top-level `license: cc-by-4.0` tag on this card refers to the
 Anonymous-Authors-owned splits (synthetic + EasyHuman) and to this card,
-metadata, and code only. EPIC-Kitchens-100 derivatives remain CC BY-NC 4.0;
-SoccerNet provenance metadata is shared under fair-use research-citation
-conventions and the underlying clips are not included.
+metadata, and code only. EPIC-Kitchens-100 derivatives remain CC BY-NC 4.0.
 
 ## Citation
 
-Cite as: Anonymous, "Substream Recollection," 2026 (anonymized for review).
+Anonymous, "Substream Recollection," 2026 (anonymized for review).

_split_sizes.json

@@ -1,34 +0,0 @@
-{
-  "splits": {
-    "easyhuman_text": {
-      "num_rows": 448,
-      "files": [
-        "easyhuman_text.parquet"
-      ]
-    },
-    "easyhuman_video": {
-      "num_rows": 224,
-      "files": [
-        "easyhuman_video.parquet"
-      ]
-    },
-    "substream_text": {
-      "num_rows": 7680,
-      "files": [
-        "substream_text.parquet"
-      ]
-    },
-    "substream_video": {
-      "num_rows": 6080,
-      "files": [
-        "substream_video.parquet"
-      ]
-    },
-    "natural_video": {
-      "num_rows": 1028,
-      "files": [
-        "natural_video.parquet"
-      ]
-    }
-  }
-}

metadata.json

@@ -47,8 +47,8 @@
     "transform": "cr:transform"
   },
   "@type": "sc:Dataset",
-  "name": "substream-recollection",
-  "description": "Substream Recollection is a controlled benchmark for testing whether long-context VLMs / LLMs can recall whether a short probe substream occurred inside a longer parent stream. It pairs synthetic streams (low / medium / uniform entropy, lengths L=8..4096) with EasyHuman rendered 3-belt videos and a natural-video sub-benchmark drawn from EPIC-Kitchens-100 and SoccerNet.",
+  "name": "Substream Recollection",
+  "description": "Substream Recollection is a controlled benchmark for testing whether long-context VLMs / LLMs can recall whether a short probe substream occurred inside a longer parent stream. It pairs synthetic streams (low / medium / uniform entropy, lengths L=8..4096) with EasyHuman rendered 3-belt videos and a natural-video sub-benchmark drawn from EPIC-Kitchens-100 and SoccerNet. The dataset is organized into three top-level splits: text (text-modality questions), synthetic_video (rendered synthetic and EasyHuman videos), and natural_video (real-world videos).",
   "conformsTo": "http://mlcommons.org/croissant/1.0",
   "citeAs": "Anonymous, \"Substream Recollection,\" 2026 (anonymized for review).",
   "keywords": [
@@ -59,1539 +59,133 @@
     "vision-language-models"
   ],
   "license": "https://creativecommons.org/licenses/by/4.0/",
-  "url": "https://huggingface.co/datasets/substream-recollection",
-  "version": "1.0.0",
+  "url": "https://huggingface.co/datasets/anonstreammem/substream-recollection",
+  "version": "2.0.0",
+  "creator": {
+    "@type": "sc:Organization",
+    "name": "Anonymous Authors"
+  },
+  "author": {
+    "@type": "sc:Person",
+    "name": "Anonymous Authors"
+  },
+  "datePublished": "2026-05-03",
   "distribution": [
     {
       "@type": "cr:FileObject",
-      "@id": "easyhuman_text",
-      "name": "easyhuman_text",
-      "description": "Parquet shard for split easyhuman_text.",
-      "contentSize": "35488",
-      "contentUrl": "easyhuman_text.parquet",
+      "@id": "text-parquet",
+      "name": "text-parquet",
+      "description": "Parquet file for the text split (substream_text + easyhuman_text merged; subset column distinguishes them).",
+      "contentUrl": "text/questions.parquet",
       "encodingFormat": "application/x-parquet",
-      "sha256": "c999b026d494a507ded2d452c8924979961fe2c487ab742e4ccae45461495cfc",
-      "license": "https://creativecommons.org/licenses/by/4.0/"
+      "contentSize": "495194",
+      "sha256": "b563967fedef8399c0725213d12a4796f6f4d47962c3391867723724bc966bcb"
     },
     {
       "@type": "cr:FileObject",
-      "@id": "easyhuman_video",
-      "name": "easyhuman_video",
-      "description": "Parquet shard for split easyhuman_video.",
-      "contentSize": "20536",
-      "contentUrl": "easyhuman_video.parquet",
+      "@id": "synthetic_video-parquet",
+      "name": "synthetic_video-parquet",
+      "description": "Parquet file for the synthetic_video split (substream_video + easyhuman_video merged; subset column distinguishes them).",
+      "contentUrl": "synthetic_video/questions.parquet",
       "encodingFormat": "application/x-parquet",
-      "sha256": "3a734556d53f8144cb3081c221b77a72cb25c7f2411009d3c0f934a337757085",
-      "license": "https://creativecommons.org/licenses/by/4.0/"
+      "contentSize": "297414",
+      "sha256": "8410ae2c1e8f3883ebb77571698c992d02bc1756a7369f993817503810e3b2b7"
     },
     {
       "@type": "cr:FileObject",
-      "@id": "substream_text",
-      "name": "substream_text",
-      "description": "Parquet shard for split substream_text.",
-      "contentSize": "462931",
-      "contentUrl": "substream_text.parquet",
+      "@id": "natural_video-parquet",
+      "name": "natural_video-parquet",
+      "description": "Parquet file for the natural_video split (EPIC-Kitchens-100 derived clips and SoccerNet provenance metadata).",
+      "contentUrl": "natural_video/questions.parquet",
       "encodingFormat": "application/x-parquet",
-      "sha256": "25bec3762b4788ea884db85dcbebdbdf1c6c6b309dea649aa05cd0306f1bfbed",
-      "license": "https://creativecommons.org/licenses/by/4.0/"
-    },
-    {
-      "@type": "cr:FileObject",
-      "@id": "substream_video",
-      "name": "substream_video",
-      "description": "Parquet shard for split substream_video.",
-      "contentSize": "270127",
-      "contentUrl": "substream_video.parquet",
-      "encodingFormat": "application/x-parquet",
-      "sha256": "3175ad85bc3b465750161844529e55111c985fd00750b8fbb260950ed1cc5d55",
-      "license": "https://creativecommons.org/licenses/by/4.0/"
-    },
-    {
-      "@type": "cr:FileObject",
-      "@id": "natural_video",
-      "name": "natural_video",
-      "description": "Parquet shard for split natural_video.",
-      "contentSize": "26698",
-      "contentUrl": "natural_video.parquet",
-      "encodingFormat": "application/x-parquet",
-      "sha256": "1e1084463aff037aee62080daf4b6a995d447ffe673e81eb6b13cdee7b69b149",
-      "license": "https://creativecommons.org/licenses/by-nc/4.0/"
+      "contentSize": "32728",
+      "sha256": "f3c4b0309a0977571c9c51d976a201430a1a5ff4c947007cdccdeb4f96ffd140"
     }
   ],
   "recordSet": [
     {
       "@type": "cr:RecordSet",
-      "@id": "records/easyhuman_text",
-      "name": "easyhuman_text",
-      "description": "Substream Recollection split: easyhuman_text.",
-      "field": [
-        {
-          "@type": "cr:Field",
-          "@id": "records/easyhuman_text/split",
-          "name": "split",
-          "description": "Top-level split label.",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "easyhuman_text"
-            },
-            "extract": {
-              "column": "split"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/easyhuman_text/subset",
-          "name": "subset",
-          "description": "Bucket-level subset id (e.g. UNIFORM_EVAL_L0128_ELOW, len_1024, L=128).",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "easyhuman_text"
-            },
-            "extract": {
-              "column": "subset"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/easyhuman_text/length_L",
-          "name": "length_L",
-          "description": "Substream length L (frames or characters), normalized.",
-          "dataType": "sc:Integer",
-          "source": {
-            "fileObject": {
-              "@id": "easyhuman_text"
-            },
-            "extract": {
-              "column": "length_L"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/easyhuman_text/entropy_band",
-          "name": "entropy_band",
-          "description": "low / medium / uniform / natural / easyhuman.",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "easyhuman_text"
-            },
-            "extract": {
-              "column": "entropy_band"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/easyhuman_text/modality",
-          "name": "modality",
-          "description": "text or video.",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "easyhuman_text"
-            },
-            "extract": {
-              "column": "modality"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/easyhuman_text/question_variant",
-          "name": "question_variant",
-          "description": "sequential, spatial, binary_natural, easyhuman_binary.",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "easyhuman_text"
-            },
-            "extract": {
-              "column": "question_variant"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/easyhuman_text/video_index",
-          "name": "video_index",
-          "description": "Per-bucket video index (1-based).",
-          "dataType": "sc:Integer",
-          "source": {
-            "fileObject": {
-              "@id": "easyhuman_text"
-            },
-            "extract": {
-              "column": "video_index"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/easyhuman_text/question_index",
-          "name": "question_index",
-          "description": "Per-video question index (0-based).",
-          "dataType": "sc:Integer",
-          "source": {
-            "fileObject": {
-              "@id": "easyhuman_text"
-            },
-            "extract": {
-              "column": "question_index"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/easyhuman_text/question_text",
-          "name": "question_text",
-          "description": "Prompt the model sees (no schema scaffolding).",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "easyhuman_text"
-            },
-            "extract": {
-              "column": "question_text"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/easyhuman_text/candidate",
-          "name": "candidate",
-          "description": "JSON-encoded probe metadata (sequence, clip_start, ...). Null when N/A.",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "easyhuman_text"
-            },
-            "extract": {
-              "column": "candidate"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/easyhuman_text/answer",
-          "name": "answer",
-          "description": "Ground-truth label (yes/no for binary questions).",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "easyhuman_text"
-            },
-            "extract": {
-              "column": "answer"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/easyhuman_text/clip_path",
-          "name": "clip_path",
-          "description": "Relative path to the probe clip file (where applicable).",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "easyhuman_text"
-            },
-            "extract": {
-              "column": "clip_path"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/easyhuman_text/video_path",
-          "name": "video_path",
-          "description": "Relative path to the main video (where applicable).",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "easyhuman_text"
-            },
-            "extract": {
-              "column": "video_path"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/easyhuman_text/dataset_source",
-          "name": "dataset_source",
-          "description": "synthetic, easyhuman, epic-kitchens-100, soccernet.",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "easyhuman_text"
-            },
-            "extract": {
-              "column": "dataset_source"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/easyhuman_text/input_sequence",
-          "name": "input_sequence",
-          "description": "Comma-joined input symbols (text-mode payload).",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "easyhuman_text"
-            },
-            "extract": {
-              "column": "input_sequence"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/easyhuman_text/source_class",
-          "name": "source_class",
-          "description": "Original event class label (natural-only).",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "easyhuman_text"
-            },
-            "extract": {
-              "column": "source_class"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/easyhuman_text/source_dataset",
-          "name": "source_dataset",
-          "description": "Original source dataset (natural-only).",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "easyhuman_text"
-            },
-            "extract": {
-              "column": "source_dataset"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/easyhuman_text/video_id",
-          "name": "video_id",
-          "description": "Canonical video identifier (joins to state files).",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "easyhuman_text"
-            },
-            "extract": {
-              "column": "video_id"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/easyhuman_text/question_id",
-          "name": "question_id",
-          "description": "Canonical question identifier.",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "easyhuman_text"
-            },
-            "extract": {
-              "column": "question_id"
-            }
-          }
-        }
-      ]
-    },
-    {
-      "@type": "cr:RecordSet",
-      "@id": "records/easyhuman_video",
-      "name": "easyhuman_video",
-      "description": "Substream Recollection split: easyhuman_video.",
-      "field": [
-        {
-          "@type": "cr:Field",
-          "@id": "records/easyhuman_video/split",
-          "name": "split",
-          "description": "Top-level split label.",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "easyhuman_video"
-            },
-            "extract": {
-              "column": "split"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/easyhuman_video/subset",
-          "name": "subset",
-          "description": "Bucket-level subset id (e.g. UNIFORM_EVAL_L0128_ELOW, len_1024, L=128).",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "easyhuman_video"
-            },
-            "extract": {
-              "column": "subset"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/easyhuman_video/length_L",
-          "name": "length_L",
-          "description": "Substream length L (frames or characters), normalized.",
-          "dataType": "sc:Integer",
-          "source": {
-            "fileObject": {
-              "@id": "easyhuman_video"
-            },
-            "extract": {
-              "column": "length_L"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/easyhuman_video/entropy_band",
-          "name": "entropy_band",
-          "description": "low / medium / uniform / natural / easyhuman.",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "easyhuman_video"
-            },
-            "extract": {
-              "column": "entropy_band"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/easyhuman_video/modality",
-          "name": "modality",
-          "description": "text or video.",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "easyhuman_video"
-            },
-            "extract": {
-              "column": "modality"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/easyhuman_video/question_variant",
-          "name": "question_variant",
-          "description": "sequential, spatial, binary_natural, easyhuman_binary.",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "easyhuman_video"
-            },
-            "extract": {
-              "column": "question_variant"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/easyhuman_video/video_index",
-          "name": "video_index",
-          "description": "Per-bucket video index (1-based).",
-          "dataType": "sc:Integer",
-          "source": {
-            "fileObject": {
-              "@id": "easyhuman_video"
-            },
-            "extract": {
-              "column": "video_index"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/easyhuman_video/question_index",
-          "name": "question_index",
-          "description": "Per-video question index (0-based).",
-          "dataType": "sc:Integer",
-          "source": {
-            "fileObject": {
-              "@id": "easyhuman_video"
-            },
-            "extract": {
-              "column": "question_index"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/easyhuman_video/question_text",
-          "name": "question_text",
-          "description": "Prompt the model sees (no schema scaffolding).",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "easyhuman_video"
-            },
-            "extract": {
-              "column": "question_text"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/easyhuman_video/candidate",
-          "name": "candidate",
-          "description": "JSON-encoded probe metadata (sequence, clip_start, ...). Null when N/A.",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "easyhuman_video"
-            },
-            "extract": {
-              "column": "candidate"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/easyhuman_video/answer",
-          "name": "answer",
-          "description": "Ground-truth label (yes/no for binary questions).",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "easyhuman_video"
-            },
-            "extract": {
-              "column": "answer"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/easyhuman_video/clip_path",
-          "name": "clip_path",
-          "description": "Relative path to the probe clip file (where applicable).",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "easyhuman_video"
-            },
-            "extract": {
-              "column": "clip_path"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/easyhuman_video/video_path",
-          "name": "video_path",
-          "description": "Relative path to the main video (where applicable).",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "easyhuman_video"
-            },
-            "extract": {
-              "column": "video_path"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/easyhuman_video/dataset_source",
-          "name": "dataset_source",
-          "description": "synthetic, easyhuman, epic-kitchens-100, soccernet.",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "easyhuman_video"
-            },
-            "extract": {
-              "column": "dataset_source"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/easyhuman_video/input_sequence",
-          "name": "input_sequence",
-          "description": "Comma-joined input symbols (text-mode payload).",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "easyhuman_video"
-            },
-            "extract": {
-              "column": "input_sequence"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/easyhuman_video/source_class",
-          "name": "source_class",
-          "description": "Original event class label (natural-only).",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "easyhuman_video"
-            },
-            "extract": {
-              "column": "source_class"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/easyhuman_video/source_dataset",
-          "name": "source_dataset",
-          "description": "Original source dataset (natural-only).",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "easyhuman_video"
-            },
-            "extract": {
-              "column": "source_dataset"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/easyhuman_video/video_id",
-          "name": "video_id",
-          "description": "Canonical video identifier (joins to state files).",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "easyhuman_video"
-            },
-            "extract": {
-              "column": "video_id"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/easyhuman_video/question_id",
-          "name": "question_id",
-          "description": "Canonical question identifier.",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "easyhuman_video"
-            },
-            "extract": {
-              "column": "question_id"
-            }
-          }
-        }
-      ]
-    },
-    {
-      "@type": "cr:RecordSet",
-      "@id": "records/substream_text",
-      "name": "substream_text",
-      "description": "Substream Recollection split: substream_text.",
+      "@id": "text",
+      "name": "text",
+      "description": "Text-modality questions for both the synthetic substream benchmark and EasyHuman. The subset column is 'substream' or 'easyhuman'; the bucket column preserves the original bucket id (e.g. UNIFORM_EVAL_L0128_ELOW, len_256). License: CC BY 4.0.",
       "field": [
-        {
-          "@type": "cr:Field",
-          "@id": "records/substream_text/split",
-          "name": "split",
-          "description": "Top-level split label.",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "substream_text"
-            },
-            "extract": {
-              "column": "split"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/substream_text/subset",
-          "name": "subset",
-          "description": "Bucket-level subset id (e.g. UNIFORM_EVAL_L0128_ELOW, len_1024, L=128).",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "substream_text"
-            },
-            "extract": {
-              "column": "subset"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/substream_text/length_L",
-          "name": "length_L",
-          "description": "Substream length L (frames or characters), normalized.",
-          "dataType": "sc:Integer",
-          "source": {
-            "fileObject": {
-              "@id": "substream_text"
-            },
-            "extract": {
-              "column": "length_L"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/substream_text/entropy_band",
-          "name": "entropy_band",
-          "description": "low / medium / uniform / natural / easyhuman.",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "substream_text"
-            },
-            "extract": {
-              "column": "entropy_band"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/substream_text/modality",
-          "name": "modality",
-          "description": "text or video.",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "substream_text"
-            },
-            "extract": {
-              "column": "modality"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/substream_text/question_variant",
-          "name": "question_variant",
-          "description": "sequential, spatial, binary_natural, easyhuman_binary.",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "substream_text"
-            },
-            "extract": {
-              "column": "question_variant"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/substream_text/video_index",
-          "name": "video_index",
-          "description": "Per-bucket video index (1-based).",
-          "dataType": "sc:Integer",
-          "source": {
-            "fileObject": {
-              "@id": "substream_text"
-            },
-            "extract": {
-              "column": "video_index"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/substream_text/question_index",
-          "name": "question_index",
-          "description": "Per-video question index (0-based).",
-          "dataType": "sc:Integer",
-          "source": {
-            "fileObject": {
-              "@id": "substream_text"
-            },
-            "extract": {
-              "column": "question_index"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/substream_text/question_text",
-          "name": "question_text",
-          "description": "Prompt the model sees (no schema scaffolding).",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "substream_text"
-            },
-            "extract": {
-              "column": "question_text"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/substream_text/candidate",
-          "name": "candidate",
-          "description": "JSON-encoded probe metadata (sequence, clip_start, ...). Null when N/A.",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "substream_text"
-            },
-            "extract": {
-              "column": "candidate"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/substream_text/answer",
-          "name": "answer",
-          "description": "Ground-truth label (yes/no for binary questions).",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "substream_text"
-            },
-            "extract": {
-              "column": "answer"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/substream_text/clip_path",
-          "name": "clip_path",
-          "description": "Relative path to the probe clip file (where applicable).",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "substream_text"
-            },
-            "extract": {
-              "column": "clip_path"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/substream_text/video_path",
-          "name": "video_path",
-          "description": "Relative path to the main video (where applicable).",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "substream_text"
-            },
-            "extract": {
-              "column": "video_path"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/substream_text/dataset_source",
-          "name": "dataset_source",
-          "description": "synthetic, easyhuman, epic-kitchens-100, soccernet.",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "substream_text"
-            },
-            "extract": {
-              "column": "dataset_source"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/substream_text/input_sequence",
-          "name": "input_sequence",
-          "description": "Comma-joined input symbols (text-mode payload).",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "substream_text"
-            },
-            "extract": {
-              "column": "input_sequence"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/substream_text/source_class",
-          "name": "source_class",
-          "description": "Original event class label (natural-only).",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "substream_text"
-            },
-            "extract": {
-              "column": "source_class"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/substream_text/source_dataset",
-          "name": "source_dataset",
-          "description": "Original source dataset (natural-only).",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "substream_text"
-            },
-            "extract": {
-              "column": "source_dataset"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/substream_text/video_id",
-          "name": "video_id",
-          "description": "Canonical video identifier (joins to state files).",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "substream_text"
-            },
-            "extract": {
-              "column": "video_id"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/substream_text/question_id",
-          "name": "question_id",
-          "description": "Canonical question identifier.",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "substream_text"
-            },
-            "extract": {
-              "column": "question_id"
-            }
-          }
-        }
+        {"@type": "cr:Field", "@id": "text/subset", "name": "subset", "description": "'substream' or 'easyhuman' (which sub-benchmark the row belongs to).", "dataType": "sc:Text", "source": {"fileObject": {"@id": "text-parquet"}, "extract": {"column": "subset"}}},
+        {"@type": "cr:Field", "@id": "text/bucket", "name": "bucket", "description": "Original bucket id (e.g. UNIFORM_EVAL_L0128_ELOW, len_256).", "dataType": "sc:Text", "source": {"fileObject": {"@id": "text-parquet"}, "extract": {"column": "bucket"}}},
+        {"@type": "cr:Field", "@id": "text/source_split", "name": "source_split", "description": "Original split label before the merge ('substream_text' or 'easyhuman_text').", "dataType": "sc:Text", "source": {"fileObject": {"@id": "text-parquet"}, "extract": {"column": "source_split"}}},
+        {"@type": "cr:Field", "@id": "text/length_L", "name": "length_L", "description": "Substream length L (number of symbols).", "dataType": "sc:Integer", "source": {"fileObject": {"@id": "text-parquet"}, "extract": {"column": "length_L"}}},
+        {"@type": "cr:Field", "@id": "text/entropy_band", "name": "entropy_band", "description": "low / medium / uniform / easyhuman.", "dataType": "sc:Text", "source": {"fileObject": {"@id": "text-parquet"}, "extract": {"column": "entropy_band"}}},
+        {"@type": "cr:Field", "@id": "text/modality", "name": "modality", "description": "'text'.", "dataType": "sc:Text", "source": {"fileObject": {"@id": "text-parquet"}, "extract": {"column": "modality"}}},
+        {"@type": "cr:Field", "@id": "text/question_variant", "name": "question_variant", "description": "sequential / spatial / easyhuman_binary.", "dataType": "sc:Text", "source": {"fileObject": {"@id": "text-parquet"}, "extract": {"column": "question_variant"}}},
+        {"@type": "cr:Field", "@id": "text/video_index", "name": "video_index", "description": "Per-bucket video index (1-based).", "dataType": "sc:Integer", "source": {"fileObject": {"@id": "text-parquet"}, "extract": {"column": "video_index"}}},
+        {"@type": "cr:Field", "@id": "text/question_index", "name": "question_index", "description": "Per-video question index (0-based).", "dataType": "sc:Integer", "source": {"fileObject": {"@id": "text-parquet"}, "extract": {"column": "question_index"}}},
+        {"@type": "cr:Field", "@id": "text/question_text", "name": "question_text", "description": "Prompt the model sees (no schema scaffolding).", "dataType": "sc:Text", "source": {"fileObject": {"@id": "text-parquet"}, "extract": {"column": "question_text"}}},
+        {"@type": "cr:Field", "@id": "text/candidate", "name": "candidate", "description": "JSON-encoded probe metadata (sequence, clip_start, ...). Null when N/A.", "dataType": "sc:Text", "source": {"fileObject": {"@id": "text-parquet"}, "extract": {"column": "candidate"}}},
+        {"@type": "cr:Field", "@id": "text/answer", "name": "answer", "description": "Ground-truth label (yes/no).", "dataType": "sc:Text", "source": {"fileObject": {"@id": "text-parquet"}, "extract": {"column": "answer"}}},
+        {"@type": "cr:Field", "@id": "text/clip_path", "name": "clip_path", "description": "Always null for text rows (kept for cross-split schema parity).", "dataType": "sc:Text", "source": {"fileObject": {"@id": "text-parquet"}, "extract": {"column": "clip_path"}}},
+        {"@type": "cr:Field", "@id": "text/video_path", "name": "video_path", "description": "Always null for text rows (kept for cross-split schema parity).", "dataType": "sc:Text", "source": {"fileObject": {"@id": "text-parquet"}, "extract": {"column": "video_path"}}},
+        {"@type": "cr:Field", "@id": "text/dataset_source", "name": "dataset_source", "description": "synthetic / easyhuman.", "dataType": "sc:Text", "source": {"fileObject": {"@id": "text-parquet"}, "extract": {"column": "dataset_source"}}},
+        {"@type": "cr:Field", "@id": "text/input_sequence", "name": "input_sequence", "description": "Comma-joined input symbols (text-mode payload).", "dataType": "sc:Text", "source": {"fileObject": {"@id": "text-parquet"}, "extract": {"column": "input_sequence"}}},
+        {"@type": "cr:Field", "@id": "text/source_class", "name": "source_class", "description": "Always null for text split.", "dataType": "sc:Text", "source": {"fileObject": {"@id": "text-parquet"}, "extract": {"column": "source_class"}}},
+        {"@type": "cr:Field", "@id": "text/source_dataset", "name": "source_dataset", "description": "Always null for text split.", "dataType": "sc:Text", "source": {"fileObject": {"@id": "text-parquet"}, "extract": {"column": "source_dataset"}}},
+        {"@type": "cr:Field", "@id": "text/video_id", "name": "video_id", "description": "Canonical video identifier.", "dataType": "sc:Text", "source": {"fileObject": {"@id": "text-parquet"}, "extract": {"column": "video_id"}}},
+        {"@type": "cr:Field", "@id": "text/question_id", "name": "question_id", "description": "Canonical question identifier.", "dataType": "sc:Text", "source": {"fileObject": {"@id": "text-parquet"}, "extract": {"column": "question_id"}}}
       ]
     },
     {
       "@type": "cr:RecordSet",
-      "@id": "records/substream_video",
-      "name": "substream_video",
-      "description": "Substream Recollection split: substream_video.",
+      "@id": "synthetic_video",
+      "name": "synthetic_video",
+      "description": "Video-modality questions over rendered synthetic streams (substream_video) and EasyHuman 3-belt videos (easyhuman_video). The subset column is 'substream' or 'easyhuman'; bucket preserves the original bucket id; video_path / clip_path are relative to this directory. License: CC BY 4.0.",
       "field": [
-        {
-          "@type": "cr:Field",
-          "@id": "records/substream_video/split",
-          "name": "split",
-          "description": "Top-level split label.",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "substream_video"
-            },
-            "extract": {
-              "column": "split"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/substream_video/subset",
-          "name": "subset",
-          "description": "Bucket-level subset id (e.g. UNIFORM_EVAL_L0128_ELOW, len_1024, L=128).",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "substream_video"
-            },
-            "extract": {
-              "column": "subset"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/substream_video/length_L",
-          "name": "length_L",
-          "description": "Substream length L (frames or characters), normalized.",
-          "dataType": "sc:Integer",
-          "source": {
-            "fileObject": {
-              "@id": "substream_video"
-            },
-            "extract": {
-              "column": "length_L"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/substream_video/entropy_band",
-          "name": "entropy_band",
-          "description": "low / medium / uniform / natural / easyhuman.",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "substream_video"
-            },
-            "extract": {
-              "column": "entropy_band"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/substream_video/modality",
-          "name": "modality",
-          "description": "text or video.",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "substream_video"
-            },
-            "extract": {
-              "column": "modality"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/substream_video/question_variant",
-          "name": "question_variant",
-          "description": "sequential, spatial, binary_natural, easyhuman_binary.",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "substream_video"
-            },
-            "extract": {
-              "column": "question_variant"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/substream_video/video_index",
-          "name": "video_index",
-          "description": "Per-bucket video index (1-based).",
-          "dataType": "sc:Integer",
-          "source": {
-            "fileObject": {
-              "@id": "substream_video"
-            },
-            "extract": {
-              "column": "video_index"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/substream_video/question_index",
-          "name": "question_index",
-          "description": "Per-video question index (0-based).",
-          "dataType": "sc:Integer",
-          "source": {
-            "fileObject": {
-              "@id": "substream_video"
-            },
-            "extract": {
-              "column": "question_index"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/substream_video/question_text",
-          "name": "question_text",
-          "description": "Prompt the model sees (no schema scaffolding).",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "substream_video"
-            },
-            "extract": {
-              "column": "question_text"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/substream_video/candidate",
-          "name": "candidate",
-          "description": "JSON-encoded probe metadata (sequence, clip_start, ...). Null when N/A.",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "substream_video"
-            },
-            "extract": {
-              "column": "candidate"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/substream_video/answer",
-          "name": "answer",
-          "description": "Ground-truth label (yes/no for binary questions).",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "substream_video"
-            },
-            "extract": {
-              "column": "answer"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/substream_video/clip_path",
-          "name": "clip_path",
-          "description": "Relative path to the probe clip file (where applicable).",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "substream_video"
-            },
-            "extract": {
-              "column": "clip_path"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/substream_video/video_path",
-          "name": "video_path",
-          "description": "Relative path to the main video (where applicable).",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "substream_video"
-            },
-            "extract": {
-              "column": "video_path"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/substream_video/dataset_source",
-          "name": "dataset_source",
-          "description": "synthetic, easyhuman, epic-kitchens-100, soccernet.",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "substream_video"
-            },
-            "extract": {
-              "column": "dataset_source"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/substream_video/input_sequence",
-          "name": "input_sequence",
-          "description": "Comma-joined input symbols (text-mode payload).",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "substream_video"
-            },
-            "extract": {
-              "column": "input_sequence"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/substream_video/source_class",
-          "name": "source_class",
-          "description": "Original event class label (natural-only).",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "substream_video"
-            },
-            "extract": {
-              "column": "source_class"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/substream_video/source_dataset",
-          "name": "source_dataset",
-          "description": "Original source dataset (natural-only).",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "substream_video"
-            },
-            "extract": {
-              "column": "source_dataset"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/substream_video/video_id",
-          "name": "video_id",
-          "description": "Canonical video identifier (joins to state files).",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "substream_video"
-            },
-            "extract": {
-              "column": "video_id"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/substream_video/question_id",
-          "name": "question_id",
-          "description": "Canonical question identifier.",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "substream_video"
-            },
-            "extract": {
-              "column": "question_id"
-            }
-          }
-        }
+        {"@type": "cr:Field", "@id": "synthetic_video/subset", "name": "subset", "description": "'substream' or 'easyhuman'.", "dataType": "sc:Text", "source": {"fileObject": {"@id": "synthetic_video-parquet"}, "extract": {"column": "subset"}}},
+        {"@type": "cr:Field", "@id": "synthetic_video/bucket", "name": "bucket", "description": "Original bucket id (e.g. UNIFORM_EVAL_L0128_ELOW, len_256).", "dataType": "sc:Text", "source": {"fileObject": {"@id": "synthetic_video-parquet"}, "extract": {"column": "bucket"}}},
+        {"@type": "cr:Field", "@id": "synthetic_video/source_split", "name": "source_split", "description": "Original split label before the merge.", "dataType": "sc:Text", "source": {"fileObject": {"@id": "synthetic_video-parquet"}, "extract": {"column": "source_split"}}},
+        {"@type": "cr:Field", "@id": "synthetic_video/length_L", "name": "length_L", "description": "Substream length L (frames).", "dataType": "sc:Integer", "source": {"fileObject": {"@id": "synthetic_video-parquet"}, "extract": {"column": "length_L"}}},
+        {"@type": "cr:Field", "@id": "synthetic_video/entropy_band", "name": "entropy_band", "description": "low / medium / uniform / easyhuman.", "dataType": "sc:Text", "source": {"fileObject": {"@id": "synthetic_video-parquet"}, "extract": {"column": "entropy_band"}}},
+        {"@type": "cr:Field", "@id": "synthetic_video/modality", "name": "modality", "description": "'video'.", "dataType": "sc:Text", "source": {"fileObject": {"@id": "synthetic_video-parquet"}, "extract": {"column": "modality"}}},
+        {"@type": "cr:Field", "@id": "synthetic_video/question_variant", "name": "question_variant", "description": "sequential / spatial / easyhuman_binary.", "dataType": "sc:Text", "source": {"fileObject": {"@id": "synthetic_video-parquet"}, "extract": {"column": "question_variant"}}},
+        {"@type": "cr:Field", "@id": "synthetic_video/video_index", "name": "video_index", "description": "Per-bucket video index (1-based).", "dataType": "sc:Integer", "source": {"fileObject": {"@id": "synthetic_video-parquet"}, "extract": {"column": "video_index"}}},
+        {"@type": "cr:Field", "@id": "synthetic_video/question_index", "name": "question_index", "description": "Per-video question index (0-based).", "dataType": "sc:Integer", "source": {"fileObject": {"@id": "synthetic_video-parquet"}, "extract": {"column": "question_index"}}},
+        {"@type": "cr:Field", "@id": "synthetic_video/question_text", "name": "question_text", "description": "Prompt the model sees.", "dataType": "sc:Text", "source": {"fileObject": {"@id": "synthetic_video-parquet"}, "extract": {"column": "question_text"}}},
+        {"@type": "cr:Field", "@id": "synthetic_video/candidate", "name": "candidate", "description": "JSON-encoded probe metadata.", "dataType": "sc:Text", "source": {"fileObject": {"@id": "synthetic_video-parquet"}, "extract": {"column": "candidate"}}},
+        {"@type": "cr:Field", "@id": "synthetic_video/answer", "name": "answer", "description": "Ground-truth label (yes/no).", "dataType": "sc:Text", "source": {"fileObject": {"@id": "synthetic_video-parquet"}, "extract": {"column": "answer"}}},
+        {"@type": "cr:Field", "@id": "synthetic_video/clip_path", "name": "clip_path", "description": "Relative path to the probe clip mp4 (under synthetic_video/).", "dataType": "sc:Text", "source": {"fileObject": {"@id": "synthetic_video-parquet"}, "extract": {"column": "clip_path"}}},
+        {"@type": "cr:Field", "@id": "synthetic_video/video_path", "name": "video_path", "description": "Relative path to the parent video mp4 (under synthetic_video/).", "dataType": "sc:Text", "source": {"fileObject": {"@id": "synthetic_video-parquet"}, "extract": {"column": "video_path"}}},
+        {"@type": "cr:Field", "@id": "synthetic_video/dataset_source", "name": "dataset_source", "description": "synthetic / easyhuman.", "dataType": "sc:Text", "source": {"fileObject": {"@id": "synthetic_video-parquet"}, "extract": {"column": "dataset_source"}}},
+        {"@type": "cr:Field", "@id": "synthetic_video/input_sequence", "name": "input_sequence", "description": "Comma-joined input symbols.", "dataType": "sc:Text", "source": {"fileObject": {"@id": "synthetic_video-parquet"}, "extract": {"column": "input_sequence"}}},
+        {"@type": "cr:Field", "@id": "synthetic_video/source_class", "name": "source_class", "description": "Always null for synthetic_video split.", "dataType": "sc:Text", "source": {"fileObject": {"@id": "synthetic_video-parquet"}, "extract": {"column": "source_class"}}},
+        {"@type": "cr:Field", "@id": "synthetic_video/source_dataset", "name": "source_dataset", "description": "Always null for synthetic_video split.", "dataType": "sc:Text", "source": {"fileObject": {"@id": "synthetic_video-parquet"}, "extract": {"column": "source_dataset"}}},
+        {"@type": "cr:Field", "@id": "synthetic_video/video_id", "name": "video_id", "description": "Canonical video identifier.", "dataType": "sc:Text", "source": {"fileObject": {"@id": "synthetic_video-parquet"}, "extract": {"column": "video_id"}}},
+        {"@type": "cr:Field", "@id": "synthetic_video/question_id", "name": "question_id", "description": "Canonical question identifier.", "dataType": "sc:Text", "source": {"fileObject": {"@id": "synthetic_video-parquet"}, "extract": {"column": "question_id"}}}
       ]
     },
     {
       "@type": "cr:RecordSet",
-      "@id": "records/natural_video",
+      "@id": "natural_video",
       "name": "natural_video",
-      "description": "Substream Recollection split: natural_video.",
+      "description": "Natural-video benchmark drawn from EPIC-Kitchens-100 and SoccerNet at L in {8,16,64,128,512,1024}. EPIC-Kitchens-100 derived clips ship in this repo (license: CC BY-NC 4.0). SoccerNet rows do NOT ship the underlying mp4s (NDA-gated source); the source_provenance column carries provenance metadata so the originals can be obtained from soccer-net.org after signing the SoccerNet NDA. Mixed license: CC BY-NC 4.0 (EPIC-Kitchens-100 derivatives) and SoccerNet NDA terms (provenance metadata only).",
       "field": [
-        {
-          "@type": "cr:Field",
-          "@id": "records/natural_video/split",
-          "name": "split",
-          "description": "Top-level split label.",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "natural_video"
-            },
-            "extract": {
-              "column": "split"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/natural_video/subset",
-          "name": "subset",
-          "description": "Bucket-level subset id (e.g. UNIFORM_EVAL_L0128_ELOW, len_1024, L=128).",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "natural_video"
-            },
-            "extract": {
-              "column": "subset"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/natural_video/length_L",
-          "name": "length_L",
-          "description": "Substream length L (frames or characters), normalized.",
-          "dataType": "sc:Integer",
-          "source": {
-            "fileObject": {
-              "@id": "natural_video"
-            },
-            "extract": {
-              "column": "length_L"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/natural_video/entropy_band",
-          "name": "entropy_band",
-          "description": "low / medium / uniform / natural / easyhuman.",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "natural_video"
-            },
-            "extract": {
-              "column": "entropy_band"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/natural_video/modality",
-          "name": "modality",
-          "description": "text or video.",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "natural_video"
-            },
-            "extract": {
-              "column": "modality"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/natural_video/question_variant",
-          "name": "question_variant",
-          "description": "sequential, spatial, binary_natural, easyhuman_binary.",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "natural_video"
-            },
-            "extract": {
-              "column": "question_variant"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/natural_video/video_index",
-          "name": "video_index",
-          "description": "Per-bucket video index (1-based).",
-          "dataType": "sc:Integer",
-          "source": {
-            "fileObject": {
-              "@id": "natural_video"
-            },
-            "extract": {
-              "column": "video_index"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/natural_video/question_index",
-          "name": "question_index",
-          "description": "Per-video question index (0-based).",
-          "dataType": "sc:Integer",
-          "source": {
-            "fileObject": {
-              "@id": "natural_video"
-            },
-            "extract": {
-              "column": "question_index"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/natural_video/question_text",
-          "name": "question_text",
-          "description": "Prompt the model sees (no schema scaffolding).",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "natural_video"
-            },
-            "extract": {
-              "column": "question_text"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/natural_video/candidate",
-          "name": "candidate",
-          "description": "JSON-encoded probe metadata (sequence, clip_start, ...). Null when N/A.",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "natural_video"
-            },
-            "extract": {
-              "column": "candidate"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/natural_video/answer",
-          "name": "answer",
-          "description": "Ground-truth label (yes/no for binary questions).",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "natural_video"
-            },
-            "extract": {
-              "column": "answer"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/natural_video/clip_path",
-          "name": "clip_path",
-          "description": "Relative path to the probe clip file (where applicable).",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "natural_video"
-            },
-            "extract": {
-              "column": "clip_path"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/natural_video/video_path",
-          "name": "video_path",
-          "description": "Relative path to the main video (where applicable).",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "natural_video"
-            },
-            "extract": {
-              "column": "video_path"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/natural_video/dataset_source",
-          "name": "dataset_source",
-          "description": "synthetic, easyhuman, epic-kitchens-100, soccernet.",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "natural_video"
-            },
-            "extract": {
-              "column": "dataset_source"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/natural_video/input_sequence",
-          "name": "input_sequence",
-          "description": "Comma-joined input symbols (text-mode payload).",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "natural_video"
-            },
-            "extract": {
-              "column": "input_sequence"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/natural_video/source_class",
-          "name": "source_class",
-          "description": "Original event class label (natural-only).",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "natural_video"
-            },
-            "extract": {
-              "column": "source_class"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/natural_video/source_dataset",
-          "name": "source_dataset",
-          "description": "Original source dataset (natural-only).",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "natural_video"
-            },
-            "extract": {
-              "column": "source_dataset"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/natural_video/video_id",
-          "name": "video_id",
-          "description": "Canonical video identifier (joins to state files).",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "natural_video"
-            },
-            "extract": {
-              "column": "video_id"
-            }
-          }
-        },
-        {
-          "@type": "cr:Field",
-          "@id": "records/natural_video/question_id",
-          "name": "question_id",
-          "description": "Canonical question identifier.",
-          "dataType": "sc:Text",
-          "source": {
-            "fileObject": {
-              "@id": "natural_video"
-            },
-            "extract": {
-              "column": "question_id"
-            }
-          }
-        }
+        {"@type": "cr:Field", "@id": "natural_video/subset", "name": "subset", "description": "Bucket id (e.g. L=8, L=128).", "dataType": "sc:Text", "source": {"fileObject": {"@id": "natural_video-parquet"}, "extract": {"column": "subset"}}},
+        {"@type": "cr:Field", "@id": "natural_video/source_split", "name": "source_split", "description": "Always 'natural_video'.", "dataType": "sc:Text", "source": {"fileObject": {"@id": "natural_video-parquet"}, "extract": {"column": "source_split"}}},
+        {"@type": "cr:Field", "@id": "natural_video/length_L", "name": "length_L", "description": "Stream length L.", "dataType": "sc:Integer", "source": {"fileObject": {"@id": "natural_video-parquet"}, "extract": {"column": "length_L"}}},
+        {"@type": "cr:Field", "@id": "natural_video/entropy_band", "name": "entropy_band", "description": "'natural'.", "dataType": "sc:Text", "source": {"fileObject": {"@id": "natural_video-parquet"}, "extract": {"column": "entropy_band"}}},
+        {"@type": "cr:Field", "@id": "natural_video/modality", "name": "modality", "description": "'video'.", "dataType": "sc:Text", "source": {"fileObject": {"@id": "natural_video-parquet"}, "extract": {"column": "modality"}}},
+        {"@type": "cr:Field", "@id": "natural_video/question_variant", "name": "question_variant", "description": "'binary_natural'.", "dataType": "sc:Text", "source": {"fileObject": {"@id": "natural_video-parquet"}, "extract": {"column": "question_variant"}}},
+        {"@type": "cr:Field", "@id": "natural_video/video_index", "name": "video_index", "description": "Per-bucket video index.", "dataType": "sc:Integer", "source": {"fileObject": {"@id": "natural_video-parquet"}, "extract": {"column": "video_index"}}},
+        {"@type": "cr:Field", "@id": "natural_video/question_index", "name": "question_index", "description": "Per-video question index.", "dataType": "sc:Integer", "source": {"fileObject": {"@id": "natural_video-parquet"}, "extract": {"column": "question_index"}}},
+        {"@type": "cr:Field", "@id": "natural_video/question_text", "name": "question_text", "description": "Prompt the model sees.", "dataType": "sc:Text", "source": {"fileObject": {"@id": "natural_video-parquet"}, "extract": {"column": "question_text"}}},
+        {"@type": "cr:Field", "@id": "natural_video/candidate", "name": "candidate", "description": "JSON-encoded probe metadata. Null for natural rows.", "dataType": "sc:Text", "source": {"fileObject": {"@id": "natural_video-parquet"}, "extract": {"column": "candidate"}}},
+        {"@type": "cr:Field", "@id": "natural_video/answer", "name": "answer", "description": "Ground-truth label (yes/no).", "dataType": "sc:Text", "source": {"fileObject": {"@id": "natural_video-parquet"}, "extract": {"column": "answer"}}},
+        {"@type": "cr:Field", "@id": "natural_video/clip_path", "name": "clip_path", "description": "Always null for natural rows.", "dataType": "sc:Text", "source": {"fileObject": {"@id": "natural_video-parquet"}, "extract": {"column": "clip_path"}}},
+        {"@type": "cr:Field", "@id": "natural_video/video_path", "name": "video_path", "description": "Relative path to the video mp4 under natural_video/. Null/missing for SoccerNet rows.", "dataType": "sc:Text", "source": {"fileObject": {"@id": "natural_video-parquet"}, "extract": {"column": "video_path"}}},
+        {"@type": "cr:Field", "@id": "natural_video/dataset_source", "name": "dataset_source", "description": "epic-kitchens-100 / soccernet.", "dataType": "sc:Text", "source": {"fileObject": {"@id": "natural_video-parquet"}, "extract": {"column": "dataset_source"}}},
+        {"@type": "cr:Field", "@id": "natural_video/input_sequence", "name": "input_sequence", "description": "Always null for natural rows.", "dataType": "sc:Text", "source": {"fileObject": {"@id": "natural_video-parquet"}, "extract": {"column": "input_sequence"}}},
+        {"@type": "cr:Field", "@id": "natural_video/source_class", "name": "source_class", "description": "Original event class label (e.g. clean_counter, red_card).", "dataType": "sc:Text", "source": {"fileObject": {"@id": "natural_video-parquet"}, "extract": {"column": "source_class"}}},
+        {"@type": "cr:Field", "@id": "natural_video/source_dataset", "name": "source_dataset", "description": "epic-kitchens-100 / soccernet.", "dataType": "sc:Text", "source": {"fileObject": {"@id": "natural_video-parquet"}, "extract": {"column": "source_dataset"}}},
+        {"@type": "cr:Field", "@id": "natural_video/video_id", "name": "video_id", "description": "Canonical video identifier.", "dataType": "sc:Text", "source": {"fileObject": {"@id": "natural_video-parquet"}, "extract": {"column": "video_id"}}},
+        {"@type": "cr:Field", "@id": "natural_video/question_id", "name": "question_id", "description": "Canonical question identifier.", "dataType": "sc:Text", "source": {"fileObject": {"@id": "natural_video-parquet"}, "extract": {"column": "question_id"}}},
+        {"@type": "cr:Field", "@id": "natural_video/source_provenance", "name": "source_provenance", "description": "JSON describing the source match, half, time range, and license. Populated for SoccerNet rows; null elsewhere.", "dataType": "sc:Text", "source": {"fileObject": {"@id": "natural_video-parquet"}, "extract": {"column": "source_provenance"}}}
       ]
     }
-  ],
-  "creator": {
-    "@type": "sc:Organization",
-    "name": "Anonymous Authors"
-  },
-  "author": {
-    "@type": "sc:Person",
-    "name": "Anonymous Authors"
-  },
-  "datePublished": "2026-05-03"
-}
+  ]
+}

easyhuman_text.parquet → natural_video/questions.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c999b026d494a507ded2d452c8924979961fe2c487ab742e4ccae45461495cfc
-size 35488
+oid sha256:f3c4b0309a0977571c9c51d976a201430a1a5ff4c947007cdccdeb4f96ffd140
+size 32728