rename dataset

README.md

@@ -7,33 +7,33 @@ configs:
 - config_name: person
   data_files:
     - split: test
-      path: "data/personpath22/*.parquet"
+      path: "data/person/*.parquet"
 - config_name: sports
   data_files:
     - split: test
-      path: "data/sportsmot/*.parquet"
+      path: "data/sports/*.parquet"
 - config_name: animal
   data_files:
     - split: test
-      path: "data/APTv2/*.parquet"
+      path: "data/animal/*.parquet"
 - config_name: misc
   data_files:
     - split: test
-      path: "data/sav/*.parquet"
+      path: "data/misc/*.parquet"
 - config_name: dance
   data_files:
     - split: test
-      path: "data/dancetrack/*.parquet"
+      path: "data/dance/*.parquet"
 ---
 
 # Molmo2-VideoTrackEval
 
 Molmo2-VideoTrackEval is an evaluation benchmark for video point tracking, containing human-annotated ground truth expressions. It includes segmentation masks for evaluating whether predicted points fall within the correct object regions. Currently, there are five categories for evaluation:
+- animal
 - dance
 - sports
 - person
 - misc
-- animal
 
 This benchmark is part of the [Molmo2 dataset collection](https://huggingface.co/collections/allenai/molmo2) and is used to evaluate the Molmo2 family of models on video object tracking via point trajectories.
 
@@ -50,11 +50,11 @@ from datasets import load_dataset
 ds = load_dataset("allenai/Molmo2-VideoTrackEval", split="test")
 
 # Load a specific benchmark subset by config name
+animal = load_dataset("allenai/Molmo2-VideoTrackEval", "animal", split="test")
 dance = load_dataset("allenai/Molmo2-VideoTrackEval", "dance", split="test")
 sports = load_dataset("allenai/Molmo2-VideoTrackEval", "sports", split="test")
 person = load_dataset("allenai/Molmo2-VideoTrackEval", "person", split="test")
 misc = load_dataset("allenai/Molmo2-VideoTrackEval", "misc", split="test")
-animal = load_dataset("allenai/Molmo2-VideoTrackEval", "animal", split="test")
 ```
 
 ## Available Configs
@@ -62,11 +62,11 @@ animal = load_dataset("allenai/Molmo2-VideoTrackEval", "animal", split="test")
 | Config | Dataset | Description |
 |--------|---------|-------------|
 | `default` | All | All evaluation data combined |
-| `person` | personpath22 | Pedestrian tracking benchmark |
-| `sports` | sportsmot | Sports multi-object tracking benchmark |
-| `animal` | APTv2 | Animal pose tracking benchmark |
-| `misc` | sav | Segment Anything Video benchmark |
-| `dance` | dancetrack | Dance tracking benchmark |
+| `animal` | APTv2 | Animal tracking benchmark |
+| `dance` | dancetrack | Dancer tracking benchmark |
+| `sports` | sportsmot | Sports player tracking benchmark |
+| `person` | personpath22 | Person tracking benchmark |
+| `misc` | sav | Misc Video benchmark |
 
 ## Data Format
 
@@ -81,9 +81,9 @@ Each row contains tracking annotations for one or more objects in a video clip:
 | `exp` | Text expression describing the tracked object(s) |
 | `obj_id` | List of object IDs per video |
 | `mask_id` | List of mask IDs corresponding to tracked objects starting from '0' |
+| `masks` | List of segmentation masks per object for evaluation. Each entry contains `object_id` and `masks` (used to verify if predicted points fall within the ground truth object region) |
 | `points` | List of point trajectories per object. Each entry contains `object_id` and `points` (list of [x, y] coordinates per frame) |
 | `segments` | List of segment annotations per object. Each entry contains `object_id` and `segments` |
-| `masks` | List of segmentation masks per object for evaluation. Each entry contains `object_id` and `masks` (used to verify if predicted points fall within the ground truth object region) |
 | `start_frame` | Starting frame index for this clip |
 | `end_frame` | Ending frame index for this clip |
 | `w` | Video width |
@@ -103,27 +103,27 @@ The `masks` field contains ground truth segmentation masks that can be used to e
 Molmo2-VideoTrackEval/
 ├── README.md
 └── data/
-    ├── APTv2/
-    │   └── APTv2.parquet
-    ├── dancetrack/
-    │   └── dancetrack.parquet
-    ├── personpath22/
-    │   └── personpath22.parquet
-    ├── sav/
-    │   └── sav.parquet
-    └── sportsmot/
-        └── sportsmot.parquet
+    ├── animal/
+    │   └── APTv2_point_tracks_with_masks.parquet
+    ├── dance/
+    │   └── dancetrack_point_tracks_with_masks.parquet
+    └── sports/
+        └── sportsmot_point_tracks_with_masks.parquet
+    ├── person/
+    │   └── personpath22_point_tracks_with_masks.parquet
+    ├── misc/
+    │   └── sav_point_tracks_with_masks.parquet
 ```
 
 ## Video Sources
 
 | Dataset | Category | Download |
 |---------|----------|----------|
-| personpath22 | People | [PersonPath22](https://amazon-science.github.io/tracking-dataset/personpath22.html) |
-| sportsmot | Sports | [SportsMOT](https://codalab.lisn.upsaclay.fr/competitions/12424#participate) |
 | APTv2 | Animals | [APTv2](https://github.com/ViTAE-Transformer/APTv2) |
-| sav | Misc | [SA-V](https://ai.meta.com/datasets/segment-anything-video/) (Videos at 6 fps) |
 | dancetrack | Dancers | [DanceTrack](https://github.com/DanceTrack/DanceTrack?tab=readme-ov-file#dataset) |
+| sportsmot | Sports | [SportsMOT](https://codalab.lisn.upsaclay.fr/competitions/12424#participate) |
+| personpath22 | Person | [PersonPath22](https://amazon-science.github.io/tracking-dataset/personpath22.html) |
+| sav | Misc | [SA-V](https://ai.meta.com/datasets/segment-anything-video/) (Videos at 6 fps) |
 
 ## License
 

data/APTv2/APTv2_point_tracks_with_masks.parquet

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:98d05a831f9c887c65ce0640823b076049461e3bc3a4db5f0ccffe074ece44fc
-size 9620166

data/dancetrack/dancetrack_point_tracks_with_masks.parquet

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:8a414742eda58f88adcde7fd55cd6742ca834945ca4736a61cb92db51f856407
-size 283401821

data/personpath22/personpath22_point_tracks_with_masks.parquet

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:4544da450c1bcc1c9ebac39c04d48be9c54ccac4067c28add87fad59b66550a8
-size 71408255

data/sav/sav_point_tracks_with_masks.parquet

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:7203db09c61249d3acf6a6355ad85db93bd71278fa8595f219e4fc9b058d7d27
-size 1620831

data/sportsmot/sportsmot_point_tracks_with_masks.parquet

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:5d98b0d9b42e792e3ae1f60a35c7688df3263ce9f47a78623304482e67f67799
-size 119239621