Add files using upload-large-folder tool

LICENSES/MAVD_RLLA.txt

@@ -0,0 +1,101 @@
+RL License Agreement
+Non Commercial Use Only
+Multimodal Audio-Visual Detection (MAVD) dataset, Release v0.1
+_____________________________________________________________________
+
+This Robot Learning License Agreement, including all exhibits ("RLLA")
+is a legal agreement between you and Robot Learning Lab. (“RL” or “we”) for the software or data
+identified above, which may include source code, and any associated materials, text or speech files,
+associated media and "online" or electronic documentation and any updates we provide in our discretion
+(together, the "Software").
+
+By downloading, installing, copying, or otherwise using this Software, found at http://multimodal-distill.cs.uni-freiburg.de,
+you agree to be bound by the terms of this RLLA. If you do not agree, do not download, install, copy or use the
+Software. The Software is protected by copyright and other intellectual property laws and is licensed, not sold.
+_____________________________________________________________________
+
+SCOPE OF RIGHTS:
+
+You may use, copy, reproduce, and distribute this Software for any noncommercial purpose, subject to
+the restrictions in this RLLA. Some purposes which can be noncommercial are teaching, academic
+research, public demonstrations and personal experimentation. You may also distribute this Software
+with books or other teaching materials, or publish the Software on websites, that are intended to teach
+the use of the Software for academic or other noncommercial purposes.
+
+You may not use or distribute this Software or any derivative works in any form for commercial
+purposes. Examples of commercial purposes would be running business operations, licensing, leasing,
+or selling the Software, distributing the Software for use with commercial products, using the Software in
+the creation or use of commercial products or any other activity which purpose is to procure a
+commercial gain to you or others.
+
+If the Software includes source code or data, you may create derivative works of such portions of the
+Software and distribute the modified Software for noncommercial purposes, as provided herein.
+If you distribute the Software or any derivative works of the Software (for noncommercial purposes), you
+will distribute them under the same terms and conditions as in this license, and you will not grant other
+rights to the Software or derivative works that are different from those provided by this RLLA.
+
+If you have created derivative works of the Software, and distribute such derivative works, you will cause
+the modified files to carry prominent notices so that recipients know that they are not receiving the
+original Software. Such notices must state: (i) that you have changed the Software; and (ii) the date of
+any changes. In return, we simply require that you agree:
+
+1. That you will not remove any copyright or other notices from the Software.
+
+2. That you will not attempt to modify any portions of the Software that are in binary format or any
+data provided in the Software, or to reverse engineer or decompile them, except and only to the
+extent authorized by applicable law.
+
+3. That RL is granted back, without any restrictions or limitations, a nonexclusive,
+perpetual, irrevocable, royaltyfree, assignable and sublicensable license, to reproduce, publicly
+perform or display, install, use, modify, post, distribute, make and have made, sell and transfer your
+modifications to and/or derivative works of the Software source code or data, for any purpose.
+
+4. That any feedback about the Software provided by you to us is voluntarily given, and RL shall be
+free to use the feedback as it sees fit without obligation or restriction of any kind, even if the
+feedback is designated by you as confidential.
+
+5. This RLLA will terminate immediately upon the commercial use or release of the Software This
+RLLA may also be terminated by RL in writing at any time without cause. Upon termination,
+you will cease use of the Software, and if so requested, promptly return to RL, or certify
+destruction of, all full or partial copies of the Software provided by RL.
+
+6. THAT THE SOFTWARE COMES "AS IS", WITH NO WARRANTIES. THIS MEANS NO EXPRESS, IMPLIED OR
+STATUTORY WARRANTY, INCLUDING WITHOUT LIMITATION, WARRANTIES OF MERCHANTABILITY OR FITNESS
+FOR A PARTICULAR PURPOSE, any warranty against interference with your enjoyment of the Software
+OR ANY WARRANTY OF TITLE OR NONINFRINGEMENT. There is no warranty that this Software will
+fulfill any of your particular purposes or needs. ALSO, YOU MUST PASS THIS DISCLAIMER ON WHENEVER
+YOU DISTRIBUTE THE SOFTWARE OR DERIVATIVE WORKS.
+
+7. THAT NEITHER RL NOR ANY CONTRIBUTOR TO THE SOFTWARE WILL BE LIABLE FOR ANY DAMAGES RELATED
+TO THE SOFTWARE OR THIS RLLA, INCLUDING DIRECT, INDIRECT, SPECIAL, CONSEQUENTIAL OR INCIDENTAL
+DAMAGES, TO THE MAXIMUM EXTENT THE LAW PERMITS, NO MATTER WHAT LEGAL THEORY IT IS BASED ON. ALSO,
+YOU MUST PASS THIS LIMITATION OF LIABILITY ON WHENEVER YOU DISTRIBUTE THE SOFTWARE OR DERIVATIVE WORKS.
+
+8. That we have no duty of reasonable care or lack of negligence, and we are not obligated to (and
+will not) provide technical support for the Software.
+
+9. That if you breach this RLLA or if you sue anyone over patents that you think may apply to or
+read on the Software or anyone's use of the Software, this RLLA (and your license and rights
+obtained herein) terminate automatically. Upon any such termination, you shall destroy all of
+your copies of the Software immediately. Sections 3, 4, 6, 7, 8, 9, 12 and 13 of this RLLA
+shall survive any termination of this RLLA.
+
+10. That the patent rights, if any, granted to you in this RLLA only apply to the Software, not to any
+derivative works you make. 11. That the Software may be subject to German export jurisdiction at the
+time it is licensed to you, and it may be subject to additional export or import laws in other places.
+You agree to comply with all such laws and regulations that may apply to the Software after delivery
+of the software to you.
+
+12. That the software is licensed, not sold. Unless applicable law gives you more rights, RL
+reserves all other rights not expressly granted under this agreement, whether by implication,
+estoppel or otherwise. You must comply with any technical limitations in the software that only
+allow you to use it in certain ways.
+
+13. This RLLA shall be governed and construed in all respects in accordance with the laws of
+Germany without regard to conflicts of law. If any provision of this RLLA shall be deemed
+unenforceable or contrary to law, the rest of this RLLA shall remain in full effect and
+interpreted in an enforceable manner that most nearly captures the intent of the original language
+_____________________________________________________________________
+
+Software: Copyright (c) Robot Learning Lab. All rights reserved.
+_____________________________________________________________________

README.md

@@ -2,9 +2,11 @@
 pretty_name: HSA Frozen Feature Archives
 license:
   - cc-by-nc-sa-4.0
+  - cc-by-nc-4.0
   - cc-by-sa-4.0
   - cc-by-4.0
   - bsd-3-clause-clear
+  - other
 task_categories:
   - feature-extraction
 tags:
@@ -28,12 +30,11 @@ prototype-classification experiments of
 With these archives, the HSA and frozen-cosine results can be recomputed with
 the public code without downloading the original media or encoder weights.
 
-This repository contains **15 of the 30 main-experiment archives** (10 retrieval
-and 5 classification relations, 682,601,293 bytes). Each archive is listed below
-with the terms of its source dataset and encoder. The other 15 archives
-(UTD-MHAD, UCF101, NYUv2, MSR-VTT, MAVD, Ego4D, and the two ImageBind BatVision
-archives) are not included; they can be generated from the original data with
-`download.py` and `extract.py` in the code repository.
+This repository contains **26 of the 30 main-experiment archives** (17 retrieval
+and 9 classification relations, 1,736,396,029 bytes). The four Ego4D archives
+are not included: Ego4D data is available only under the Ego4D license, and
+licensees can generate these archives with `download.py` and `extract.py` in
+the code repository.
 
 ## Contents
 
@@ -45,12 +46,36 @@ archives) are not included; they can be generated from the original data with
 | VGGSound / VGGSound-309 | ImageBind | 1 | 1 | CC BY-NC-SA 4.0 |
 | Caltech Aerial RGBT | ImageBind | 1 | 0 | CC BY-NC-SA 4.0 |
 | BatVision | LanguageBind | 1 | 0 | CC BY-SA 4.0 |
-| **Total** | | **10** | **5** | |
+| BatVision | ImageBind | 1 | 1 | CC BY-SA 4.0 |
+| UTD-MHAD | ImageBind | 1 | 1 | CC BY-NC-SA 4.0 |
+| UCF101 | LanguageBind | 1 | 0 | CC BY-NC 4.0 |
+| NYUv2 | LanguageBind | 1 | 1 | CC BY-NC 4.0 |
+| MSR-VTT | LanguageBind | 1 | 1 | CC BY-NC 4.0 |
+| MAVD | ImageBind | 1 | 0 | MAVD license (non-commercial) |
+| MAVD | LanguageBind | 1 | 0 | MAVD license (non-commercial) |
+| **Total** | | **17** | **9** | |
 
 The terms of each file are also recorded as `proposed_feature_release_terms` in
-`manifest.json`. ImageBind-derived archives follow the ImageBind license
-(CC BY-NC-SA 4.0, non-commercial). Please also respect the source dataset terms
-and cite the original datasets and encoders (see [Citation](#citation)).
+`manifest.json`.
+
+- The ImageBind license (CC BY-NC-SA 4.0) does not state whether it covers
+  features computed with the model. ImageBind-derived archives are released
+  under CC BY-NC-SA 4.0 except where the source dataset requires its own terms
+  (BatVision: CC BY-SA 4.0; MAVD: MAVD license).
+- UTD-MHAD, UCF101, NYUv2 and MSR-VTT publish no license. Their archives are
+  released for non-commercial research use under the terms in the table; use of
+  the underlying data remains subject to the original datasets' terms.
+- **MAVD notice.** The MAVD-derived archives are modified versions of MAVD data:
+  they contain feature vectors computed from MAVD RGB, thermal and audio data
+  (and scene-description text) by frozen encoders, assembled on 2026-09-16. They
+  are distributed for non-commercial purposes only under the MAVD license
+  ([`LICENSES/MAVD_RLLA.txt`](LICENSES/MAVD_RLLA.txt)), including its
+  disclaimer of warranty and limitation of liability.
+
+If you hold rights in a source dataset and object to an archive, please open an
+issue in the [code repository](https://github.com/Luo1Yan/HSA/issues) and we
+will remove it. Please cite the original datasets and encoders you use (see
+[Citation](#citation)).
 
 ## Files
 
@@ -58,11 +83,11 @@ and cite the original datasets and encoders (see [Citation](#citation)).
 retrieval/{imagebind,languagebind}/<relation>.npz
 classification/{imagebind,languagebind}/<relation>.npz
 manifest.json            # shapes, sizes, SHA-256, dataset, protocol hash and terms per archive
-SHA256SUMS               # checksums of the 15 archives
+SHA256SUMS               # checksums of the 26 archives
 reference_results.json   # per-relation HSA / frozen-cosine results on these archives
 protocols/               # sample IDs, splits, prompts and sources at the evaluation commit
 UPSTREAM_SOURCES.md      # dataset and encoder sources and terms
-LICENSES/                # ImageBind, LanguageBind and VGGSound license texts
+LICENSES/                # ImageBind, LanguageBind, VGGSound and MAVD license texts
 ```
 
 ## Array format
@@ -91,24 +116,23 @@ order, prompts and preprocessing are fixed in `protocols/` and in the code.
 git clone https://github.com/Luo1Yan/HSA.git
 cd HSA
 git checkout 64b3e9ca01abefb878b02f546f0b593ee459d6cb
-python -m pip install -r requirements.txt
+python -m pip install -r requirements.txt huggingface_hub
 hf download Rowance/HSA-features --repo-type dataset --local-dir datasets
-python run.py --dataset tartan-rgbt --output outputs/tartan.json
-python run.py --dataset vggsound --output outputs/vggsound.json
-python run.py --dataset caltech-rgbt --output outputs/caltech.json
-python run.py --dataset batvision --backbone languagebind --output outputs/batvision.json
+for d in tartan-rgbt vggsound caltech-rgbt batvision utd-mhad ucf101 nyuv2 msrvtt mavd; do
+  python run.py --dataset $d --output outputs/$d.json
+done
 ```
 
-Select by dataset (and backbone for BatVision): running `python run.py` without
-a selection expects all 30 archives. Add `--device cuda` to score retrieval on a
-GPU.
+Select by dataset as above: running `python run.py` without a selection
+expects all 30 archives, including the four Ego4D archives. Add
+`--device cuda` to score retrieval on a GPU.
 
 Equal-weight means over the relations in this repository:
 
 | Task | Relations | Frozen cosine | HSA |
 |---|---:|---:|---:|
-| Bidirectional retrieval R@10 | 10 | 22.02% | 40.93% |
-| Classification macro Top-1 | 5 | 42.20% | 69.38% |
+| Bidirectional retrieval R@10 | 17 | 20.23% | 33.77% |
+| Classification macro Top-1 | 9 | 33.93% | 59.14% |
 
 The paper's means over all 30 relations are 18.27% / 31.15% (retrieval R@10,
 frozen cosine / HSA) and 29.01% / 52.43% (classification macro Top-1).
@@ -119,7 +143,7 @@ Per-relation values are in `reference_results.json`.
 The archives were extracted with frozen ImageBind-Huge (source commit
 `53680b02`) and LanguageBind (source commit `7070c533`; checkpoint revisions in
 `protocols/downloads.json`). All file sizes and SHA-256 hashes match
-`manifest.json`, and all 15 archives pass `run.py --check-data` at commit
+`manifest.json`, and all 26 archives pass `run.py --check-data` at commit
 `64b3e9c`. End-to-end re-extraction from raw data has been verified on
 UTD-MHAD. LanguageBind video preprocessing applies random horizontal flips; the
 flip state of the archived video features was not recorded, so features
@@ -147,5 +171,10 @@ Please also cite the source datasets and encoders you use:
 - VGGSound: H. Chen, W. Xie, A. Vedaldi, A. Zisserman, *VGGSound: A Large-Scale Audio-Visual Dataset*, ICASSP 2020.
 - Caltech Aerial RGBT: C. Lee et al., *Caltech Aerial RGB-Thermal Dataset in the Wild*, CaltechDATA ([doi:10.22002/cks6g-ps927](https://doi.org/10.22002/cks6g-ps927)).
 - BatVision: A. Brunetto, S. Hornauer, S. X. Yu, F. Moutarde, *The Audio-Visual BatVision Dataset for Research on Sight and Sound*, IROS 2023 ([data doi:10.57745/HYLZNL](https://doi.org/10.57745/HYLZNL)).
+- UTD-MHAD: C. Chen, R. Jafari, N. Kehtarnavaz, *UTD-MHAD: A Multimodal Dataset for Human Action Recognition Utilizing a Depth Camera and a Wearable Inertial Sensor*, ICIP 2015.
+- UCF101: K. Soomro, A. R. Zamir, M. Shah, *UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild*, CRCV-TR-12-01, 2012 ([arXiv:1212.0402](https://arxiv.org/abs/1212.0402)).
+- NYUv2: N. Silberman, D. Hoiem, P. Kohli, R. Fergus, *Indoor Segmentation and Support Inference from RGBD Images*, ECCV 2012.
+- MSR-VTT: J. Xu, T. Mei, T. Yao, Y. Rui, *MSR-VTT: A Large Video Description Dataset for Bridging Video and Language*, CVPR 2016.
+- MAVD: F. Rivera Valverde, J. V. Hurtado, A. Valada, *There is More than Meets the Eye: Self-Supervised Multi-Object Detection and Tracking with Sound by Distilling Multimodal Knowledge*, CVPR 2021.
 - ImageBind: R. Girdhar et al., *ImageBind: One Embedding Space To Bind Them All*, CVPR 2023.
 - LanguageBind: B. Zhu et al., *LanguageBind: Extending Video-Language Pretraining to N-modality by Language-based Semantic Alignment*, ICLR 2024.

SHA256SUMS

@@ -1,15 +1,26 @@
 29113a72dc2d2d254ee293d1cc3f3b81d56e4e9dbb5fd0874ee15f06af8f84c2  retrieval/imagebind/text_audio__vggsound.npz
 5cc390b2c5407a4a360938bf375282b5915b5e4bcd1fc4fb9fb03c806820cfae  retrieval/imagebind/text_thermal__tartan_category.npz
+ecdac733ab8d6996d3eaa364191be2b35bd2a5e87d31c5c3e6ef171132d3309b  retrieval/imagebind/audio_depth__batvision.npz
+90e58633f519a9f2f4ed7600f4275a10e7fbbf2b1d225fce2d0e083c4f2f15a3  retrieval/imagebind/audio_thermal__mavd.npz
 1b841447bc28a44be4faf81101cdce9276126753bfe5b45f9f1cb4d2f305b00d  retrieval/imagebind/depth_thermal__tartan.npz
+f4c07ddf20ac367102974b620b2acb1b84e58df278a969564161cf94aafa7ff7  retrieval/imagebind/depth_imu__utd.npz
 35e02a06864a1367651c5721144c96d39ced2ff37f8c7af37d7e26e7ebf81915  retrieval/imagebind/thermal_imu__caltech_gyro.npz
+fccb3c4f01f879830d8b9a193dba701bb130c9e30e14350094b94bb37a5a130e  retrieval/languagebind/image-video.npz
 43a1f17e785c0a3202ae7e6f9af692e8a87c24adcf029c5f84ac478f7e4cfbdd  retrieval/languagebind/image-thermal.npz
+6ee702d338d867edfc889c4dfaaff59d9da8b7cd53926b8271b7cae65a89d448  retrieval/languagebind/image-depth.npz
 90a06ec8b7b4356492aa33d2ad25375eb1fc8b02b702d475a0572640200b69a8  retrieval/languagebind/image-audio.npz
 5fa09b0b9ef3b656e869ab90f682ec2cea73311af72c4c1ddff80ac0ac54b724  retrieval/languagebind/video-thermal.npz
 37ac7e4f083d200d7e5c619a0c973f76e1d53346a728c274cbc2024afa254c23  retrieval/languagebind/video-depth.npz
+62242e9d6286289ebf133b05bdaf630e884f3b680d5653926f4dadc3e4a47885  retrieval/languagebind/video-audio.npz
 1d859b0988420b4b4be381b1586a0f5445420b928e9aee4f3d0ac927ebcd3375  retrieval/languagebind/thermal-depth.npz
+e1b1d5f6212cc2add3b683800d1e1b511a64a88ee842580e380d63773cc8d79f  retrieval/languagebind/thermal-audio.npz
 684f1f1d538ab924b18bbdd6c9e5e41156cd1d1ff19fa3d1c2f8761f773888e0  retrieval/languagebind/depth-audio.npz
 b51dd7e32e6c21abe230d7f8ade0275d15c66c03fe56964939536919ce6bed6c  classification/imagebind/text_audio__vggsound.npz
 719d06eb14011838a3fbb0c8c336c8b629b47f1c61714557de86540ba7af5665  classification/imagebind/text_thermal__tartan_category.npz
+1d5db2eac6743b1d3bc5d1722d51c28592a2acfb7f9c2b118b8078a7dc734cf7  classification/imagebind/audio_depth__batvision.npz
+f4c4274d5eb2d160cd3c8918b3e0b774c486fd7cfee031f71fcc8ed0d052820a  classification/imagebind/depth_imu__utd.npz
+52f29a4a121e28270b84f37a892394990773ace02206f91f70b9451cfa2567bd  classification/languagebind/image-depth.npz
 3dc9afdd6fbb439181f08122f343aaad00ad561f00215866c2dc8949012596e7  classification/languagebind/video-thermal.npz
 dae4dd151a227872188681153098e1493e47f4d5105827206577fe183efee683  classification/languagebind/video-depth.npz
+d2bf3761a2c6465d456c8f4e9e2ad38766a6345e2e44dc6ea13328e6fc2ae9f8  classification/languagebind/video-audio.npz
 0a1f694b27fdbf11c8570acbcd435eeb089ae071a713708071278d7844546ab0  classification/languagebind/thermal-depth.npz

UPSTREAM_SOURCES.md

@@ -1,16 +1,21 @@
 # Upstream sources and terms
 
-Checked on 2026-10-29. Exact acquisition sources and revisions are recorded in
+Checked on 2026-11-02. Exact acquisition sources and revisions are recorded in
 `protocols/downloads.json`.
 
 ## Datasets in this repository
 
-| Dataset | Source | Terms |
+| Dataset | Source | Published terms |
 |---|---|---|
 | TartanRGBT | [Official repository at the pinned revision](https://huggingface.co/datasets/theairlabcmu/TartanRGBT/tree/cafaed13bd4e55d3765cdeb0b1357c96d6ff2b79); [project page](https://anythermal.github.io/) | BSD-3-Clause-Clear (dataset card) |
 | VGGSound / VGGSound-309 | [Oxford VGG](https://www.robots.ox.ac.uk/~vgg/data/vggsound/); [license text](https://thor.robots.ox.ac.uk/vggsound/license_vggsound.txt) (copy in `LICENSES/`) | CC BY 4.0; the copyright of the videos remains with their original owners |
 | Caltech Aerial RGBT | [Dataset record](https://data.caltech.edu/records/cks6g-ps927); [DOI 10.22002/cks6g-ps927](https://doi.org/10.22002/cks6g-ps927) | CC BY-NC 4.0 |
 | BatVision | [Dataset DOI 10.57745/HYLZNL](https://doi.org/10.57745/HYLZNL) | CC BY-SA 4.0 |
+| UTD-MHAD | [UT Dallas](https://personal.utdallas.edu/~kehtar/UTD-MHAD.html) | No license published; the page asks users to cite the dataset paper |
+| UCF101 | [UCF CRCV](https://www.crcv.ucf.edu/research/data-sets/ucf101/); [acquisition mirror](https://huggingface.co/datasets/NoahMartinezXiang/2013_UCF101/tree/930c89aa9cae0ad9c3290c36ae991d8b95b7a4bb) | No license published; videos are from YouTube |
+| NYUv2 | [Official page](https://cs.nyu.edu/~fergus/datasets/nyu_depth_v2.html); [acquisition mirror](https://huggingface.co/datasets/sayakpaul/nyu_depth_v2/tree/50579a0b591445f91bf7269b28611ad1cc6a05d2) | No license published; the page asks users to cite the dataset paper |
+| MSR-VTT | [Dataset paper](https://www.microsoft.com/en-us/research/publication/msr-vtt-a-large-video-description-dataset-for-bridging-video-and-language/); [acquisition mirror](https://huggingface.co/datasets/xhLiu/MM_eval) | No license published; videos are from YouTube |
+| MAVD | [Dataset site](https://multimodal-distill.cs.uni-freiburg.de/); [license](https://multimodal-distill.cs.uni-freiburg.de/static/dist/MAVD_dataset/LICENSE.txt) (copy in `LICENSES/`) | RL License Agreement, non-commercial use only |
 
 ## Encoders
 
@@ -28,8 +33,20 @@ Checked on 2026-10-29. Exact acquisition sources and revisions are recorded in
 | VGGSound × LanguageBind (1) | CC BY 4.0 |
 | VGGSound × ImageBind (2) | CC BY-NC-SA 4.0 |
 | Caltech Aerial RGBT × ImageBind (1) | CC BY-NC-SA 4.0 |
-| BatVision × LanguageBind (1) | CC BY-SA 4.0 |
+| BatVision × LanguageBind (1), BatVision × ImageBind (2) | CC BY-SA 4.0 |
+| UTD-MHAD × ImageBind (2) | CC BY-NC-SA 4.0 |
+| UCF101 × LanguageBind (1), NYUv2 × LanguageBind (2), MSR-VTT × LanguageBind (2) | CC BY-NC 4.0 |
+| MAVD × ImageBind (1), MAVD × LanguageBind (1) | MAVD license, non-commercial |
 
 Each archive contains feature vectors computed by a frozen encoder from the
-listed source data, together with labels and class prototypes. The vectors are
-derived from, and are not copies of, the original media.
+listed source data, together with labels and class prototypes; it contains no
+images, video, audio, depth maps, thermal frames or inertial signals. Use of
+the underlying data remains subject to each dataset's own terms.
+
+## Not included
+
+The four Ego4D-derived archives (`retrieval/imagebind/text_imu__ego4d_gyro`,
+`retrieval/imagebind/audio_imu__ego4d_gyro` and the two classification
+counterparts) are not included. Ego4D is available under the
+[Ego4D license](https://ego4ddataset.com/ego4d-license/); licensees can
+generate these archives with the code repository.

classification/imagebind/audio_depth__batvision.npz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1d5db2eac6743b1d3bc5d1722d51c28592a2acfb7f9c2b118b8078a7dc734cf7
+size 40551600

classification/imagebind/depth_imu__utd.npz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f4c4274d5eb2d160cd3c8918b3e0b774c486fd7cfee031f71fcc8ed0d052820a
+size 8331610

classification/languagebind/image-depth.npz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:52f29a4a121e28270b84f37a892394990773ace02206f91f70b9451cfa2567bd
+size 6688659

classification/languagebind/video-audio.npz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d2bf3761a2c6465d456c8f4e9e2ad38766a6345e2e44dc6ea13328e6fc2ae9f8
+size 73281642

manifest.json

@@ -1,1367 +1,2151 @@
-{
-  "schema_version": 2,
-  "release": "hsa-first15-scope-20261029",
-  "publication_status": "first_batch_release",
-  "paper": "https://arxiv.org/abs/2609.17094",
-  "code_repository": "https://github.com/Luo1Yan/HSA",
-  "evaluation_code_commit": "64b3e9ca01abefb878b02f546f0b593ee459d6cb",
-  "original_manifest": {
-    "release": "hsa-main-20260916",
-    "code_commit": "5ed2fb372aff8e8ac199b9ee75c04ead776d476e",
-    "sha256": "e88d80b00e5a0ed22d9eac283bba897ab40112d56b2f279d4ab14b4d8b2b73ab",
-    "preserved_file": "source_manifest.json"
-  },
-  "protocol_note": "registered_protocol_sha256 identifies the compatible evaluation configuration. Archive-level extraction sidecars were absent in the source package; this field is not a reconstruction of original extraction metadata.",
-  "environment": {
-    "python": "3.12.7",
-    "numpy": "1.26.4",
-    "torch": "2.6.0+cu124"
-  },
-  "scope": {
-    "archive_count": 15,
-    "retrieval_relations": 10,
-    "classification_relations": 5,
-    "npz_bytes": 682601293
-  },
-  "license_status": "per_file_conditions_in_publication_scope",
-  "files": [
-    {
-      "path": "retrieval/imagebind/text_audio__vggsound.npz",
-      "task": "retrieval",
-      "backbone": "imagebind",
-      "relation": "text_audio__vggsound",
-      "dataset": "VGGSound",
-      "bytes": 21839463,
-      "sha256": "29113a72dc2d2d254ee293d1cc3f3b81d56e4e9dbb5fd0874ee15f06af8f84c2",
-      "arrays": {
-        "a_train": {
-          "shape": [
-            1500,
-            1024
-          ],
-          "dtype": "float32"
-        },
-        "h_a_train": {
-          "shape": [
-            1500,
-            1024
-          ],
-          "dtype": "float32"
-        },
-        "b_train": {
-          "shape": [
-            1500,
-            1024
-          ],
-          "dtype": "float32"
-        },
-        "h_b_train": {
-          "shape": [
-            1500,
-            1024
-          ],
-          "dtype": "float32"
-        },
-        "a_test": {
-          "shape": [
-            1000,
-            1024
-          ],
-          "dtype": "float32"
-        },
-        "b_test": {
-          "shape": [
-            1000,
-            1024
-          ],
-          "dtype": "float32"
-        },
-        "positive_labels": {
-          "shape": [
-            1000
-          ],
-          "dtype": "<U21"
-        }
-      },
-      "positive_definition": "same test label",
-      "registered_dataset": "vggsound",
-      "collection": "vggsound-100",
-      "train_count": 1500,
-      "test_count": 1000,
-      "registered_protocol_sha256": "5b3687cc969dd08455cf96f5fb6898fa63d68d5ecab756674db2f58ec0c19df4",
-      "access_review": "source_terms_reviewed_2026-10-29",
-      "release_eligibility": "eligible_with_conditions",
-      "proposed_feature_release_terms": "CC-BY-NC-SA-4.0",
-      "original_distribution_status": "pending_source_license_review",
-      "distribution_status": "eligible_for_initial_release_with_conditions"
-    },
-    {
-      "path": "retrieval/imagebind/text_thermal__tartan_category.npz",
-      "task": "retrieval",
-      "backbone": "imagebind",
-      "relation": "text_thermal__tartan_category",
-      "dataset": "TartanRGBT",
-      "bytes": 45489103,
-      "sha256": "5cc390b2c5407a4a360938bf375282b5915b5e4bcd1fc4fb9fb03c806820cfae",
-      "arrays": {
-        "a_train": {
-          "shape": [
-            3326,
-            1024
-          ],
-          "dtype": "float32"
-        },
-        "h_a_train": {
-          "shape": [
-            3326,
-            1024
-          ],
-          "dtype": "float32"
-        },
-        "b_train": {
-          "shape": [
-            3326,
-            1024
-          ],
-          "dtype": "float32"
-        },
-        "h_b_train": {
-          "shape": [
-            3326,
-            1024
-          ],
-          "dtype": "float32"
-        },
-        "a_test": {
-          "shape": [
-            1791,
-            1024
-          ],
-          "dtype": "float32"
-        },
-        "b_test": {
-          "shape": [
-            1791,
-            1024
-          ],
-          "dtype": "float32"
-        },
-        "positive_labels": {
-          "shape": [
-            1791
-          ],
-          "dtype": "<U21"
-        }
-      },
-      "positive_definition": "same test label",
-      "registered_dataset": "tartan-rgbt",
-      "collection": "tartan-frames",
-      "train_count": 3326,
-      "test_count": 1791,
-      "registered_protocol_sha256": "5cba4b0fd5ed79dfd045a715891fb3b915985cb6ac9f823c1b59dd75be7036a9",
-      "access_review": "source_terms_reviewed_2026-10-29",
-      "release_eligibility": "eligible_with_conditions",
-      "proposed_feature_release_terms": "CC-BY-NC-SA-4.0",
-      "original_distribution_status": "pending_source_license_review",
-      "distribution_status": "eligible_for_initial_release_with_conditions"
-    },
-    {
-      "path": "retrieval/imagebind/depth_thermal__tartan.npz",
-      "task": "retrieval",
-      "backbone": "imagebind",
-      "relation": "depth_thermal__tartan",
-      "dataset": "TartanRGBT",
-      "bytes": 197030313,
-      "sha256": "1b841447bc28a44be4faf81101cdce9276126753bfe5b45f9f1cb4d2f305b00d",
-      "arrays": {
-        "a_train": {
-          "shape": [
-            8602,
-            1024
-          ],
-          "dtype": "float32"
-        },
-        "h_a_train": {
-          "shape": [
-            8602,
-            1024
-          ],
-          "dtype": "float32"
-        },
-        "b_train": {
-          "shape": [
-            8602,
-            1024
-          ],
-          "dtype": "float32"
-        },
-        "h_b_train": {
-          "shape": [
-            8602,
-            1024
-          ],
-          "dtype": "float32"
-        },
-        "a_test": {
-          "shape": [
-            8601,
-            1024
-          ],
-          "dtype": "float32"
-        },
-        "b_test": {
-          "shape": [
-            8601,
-            1024
-          ],
-          "dtype": "float32"
-        }
-      },
-      "positive_definition": "paired instance index",
-      "registered_dataset": "tartan-rgbt",
-      "collection": "tartan-frames",
-      "train_count": 8602,
-      "test_count": 8601,
-      "registered_protocol_sha256": "5c98d1d4d4867f311322aef4543a567264cbeb1b92b2aaad0e55ea1448902c15",
-      "access_review": "source_terms_reviewed_2026-10-29",
-      "release_eligibility": "eligible_with_conditions",
-      "proposed_feature_release_terms": "CC-BY-NC-SA-4.0",
-      "original_distribution_status": "pending_source_license_review",
-      "distribution_status": "eligible_for_initial_release_with_conditions"
-    },
-    {
-      "path": "retrieval/imagebind/thermal_imu__caltech_gyro.npz",
-      "task": "retrieval",
-      "backbone": "imagebind",
-      "relation": "thermal_imu__caltech_gyro",
-      "dataset": "Caltech Aerial RGBT",
-      "bytes": 5603143,
-      "sha256": "35e02a06864a1367651c5721144c96d39ced2ff37f8c7af37d7e26e7ebf81915",
-      "arrays": {
-        "a_train": {
-          "shape": [
-            245,
-            1024
-          ],
-          "dtype": "float32"
-        },
-        "h_a_train": {
-          "shape": [
-            245,
-            1024
-          ],
-          "dtype": "float32"
-        },
-        "b_train": {
-          "shape": [
-            245,
-            1024
-          ],
-          "dtype": "float32"
-        },
-        "h_b_train": {
-          "shape": [
-            245,
-            1024
-          ],
-          "dtype": "float32"
-        },
-        "a_test": {
-          "shape": [
-            245,
-            1024
-          ],
-          "dtype": "float32"
-        },
-        "b_test": {
-          "shape": [
-            245,
-            1024
-          ],
-          "dtype": "float32"
-        }
-      },
-      "positive_definition": "paired instance index",
-      "registered_dataset": "caltech-rgbt",
-      "collection": "caltech-rgbt",
-      "train_count": 245,
-      "test_count": 245,
-      "registered_protocol_sha256": "691288e9564213a382b6ee60933802bea39e14d491834a15a3b0c4e887898b59",
-      "access_review": "source_terms_reviewed_2026-10-29",
-      "release_eligibility": "eligible_with_conditions",
-      "proposed_feature_release_terms": "CC-BY-NC-SA-4.0",
-      "original_distribution_status": "pending_source_license_review",
-      "distribution_status": "eligible_for_initial_release_with_conditions"
-    },
-    {
-      "path": "retrieval/languagebind/image-thermal.npz",
-      "task": "retrieval",
-      "backbone": "languagebind",
-      "relation": "image-thermal",
-      "dataset": "TartanRGBT",
-      "bytes": 26167509,
-      "sha256": "43a1f17e785c0a3202ae7e6f9af692e8a87c24adcf029c5f84ac478f7e4cfbdd",
-      "arrays": {
-        "a_train": {
-          "shape": [
-            1733,
-            768
-          ],
-          "dtype": "float64"
-        },
-        "h_a_train": {
-          "shape": [
-            1733,
-            768
-          ],
-          "dtype": "float64"
-        },
-        "b_train": {
-          "shape": [
-            1733,
-            768
-          ],
-          "dtype": "float64"
-        },
-        "h_b_train": {
-          "shape": [
-            1733,
-            768
-          ],
-          "dtype": "float64"
-        },
-        "a_test": {
-          "shape": [
-            436,
-            768
-          ],
-          "dtype": "float64"
-        },
-        "b_test": {
-          "shape": [
-            436,
-            768
-          ],
-          "dtype": "float64"
-        }
-      },
-      "positive_definition": "paired instance index",
-      "registered_dataset": "tartan-rgbt",
-      "collection": "tartan-clips",
-      "train_count": 1733,
-      "test_count": 436,
-      "registered_protocol_sha256": "fc3ff1df5c5f1249918f4be1c061f98b1582303f12dc9fd53b8880b3ce4e750a",
-      "access_review": "source_terms_reviewed_2026-10-29",
-      "release_eligibility": "eligible_with_conditions",
-      "proposed_feature_release_terms": "BSD-3-Clause-Clear",
-      "original_distribution_status": "pending_source_license_review",
-      "distribution_status": "eligible_for_initial_release_with_conditions"
-    },
-    {
-      "path": "retrieval/languagebind/image-audio.npz",
-      "task": "retrieval",
-      "backbone": "languagebind",
-      "relation": "image-audio",
-      "dataset": "VGGSound",
-      "bytes": 30735748,
-      "sha256": "90a06ec8b7b4356492aa33d2ad25375eb1fc8b02b702d475a0572640200b69a8",
-      "arrays": {
-        "a_train": {
-          "shape": [
-            1500,
-            768
-          ],
-          "dtype": "float64"
-        },
-        "h_a_train": {
-          "shape": [
-            1500,
-            768
-          ],
-          "dtype": "float64"
-        },
-        "b_train": {
-          "shape": [
-            1500,
-            768
-          ],
-          "dtype": "float64"
-        },
-        "h_b_train": {
-          "shape": [
-            1500,
-            768
-          ],
-          "dtype": "float64"
-        },
-        "a_test": {
-          "shape": [
-            1000,
-            768
-          ],
-          "dtype": "float64"
-        },
-        "b_test": {
-          "shape": [
-            1000,
-            768
-          ],
-          "dtype": "float64"
-        }
-      },
-      "positive_definition": "paired instance index",
-      "registered_dataset": "vggsound",
-      "collection": "vggsound-100",
-      "train_count": 1500,
-      "test_count": 1000,
-      "registered_protocol_sha256": "74d1ac26205dd5eb2e54ff28a781e3404e27ca387f1d6c1ebab926a1cb04ab9c",
-      "access_review": "source_terms_reviewed_2026-10-29",
-      "release_eligibility": "eligible_with_conditions",
-      "proposed_feature_release_terms": "CC-BY-4.0",
-      "original_distribution_status": "pending_source_license_review",
-      "distribution_status": "eligible_for_initial_release_with_conditions"
-    },
-    {
-      "path": "retrieval/languagebind/video-thermal.npz",
-      "task": "retrieval",
-      "backbone": "languagebind",
-      "relation": "video-thermal",
-      "dataset": "TartanRGBT",
-      "bytes": 26181703,
-      "sha256": "5fa09b0b9ef3b656e869ab90f682ec2cea73311af72c4c1ddff80ac0ac54b724",
-      "arrays": {
-        "a_train": {
-          "shape": [
-            1733,
-            768
-          ],
-          "dtype": "float64"
-        },
-        "h_a_train": {
-          "shape": [
-            1733,
-            768
-          ],
-          "dtype": "float64"
-        },
-        "b_train": {
-          "shape": [
-            1733,
-            768
-          ],
-          "dtype": "float64"
-        },
-        "h_b_train": {
-          "shape": [
-            1733,
-            768
-          ],
-          "dtype": "float64"
-        },
-        "a_test": {
-          "shape": [
-            436,
-            768
-          ],
-          "dtype": "float64"
-        },
-        "b_test": {
-          "shape": [
-            436,
-            768
-          ],
-          "dtype": "float64"
-        }
-      },
-      "positive_definition": "paired instance index",
-      "registered_dataset": "tartan-rgbt",
-      "collection": "tartan-clips",
-      "train_count": 1733,
-      "test_count": 436,
-      "registered_protocol_sha256": "78c2505929f650adb05016ce09c821eb5e0c88613f60b3f7d1dae8e9fefc6427",
-      "access_review": "source_terms_reviewed_2026-10-29",
-      "release_eligibility": "eligible_with_conditions",
-      "proposed_feature_release_terms": "BSD-3-Clause-Clear",
-      "original_distribution_status": "pending_source_license_review",
-      "distribution_status": "eligible_for_initial_release_with_conditions"
-    },
-    {
-      "path": "retrieval/languagebind/video-depth.npz",
-      "task": "retrieval",
-      "backbone": "languagebind",
-      "relation": "video-depth",
-      "dataset": "TartanRGBT",
-      "bytes": 26187207,
-      "sha256": "37ac7e4f083d200d7e5c619a0c973f76e1d53346a728c274cbc2024afa254c23",
-      "arrays": {
-        "a_train": {
-          "shape": [
-            1733,
-            768
-          ],
-          "dtype": "float64"
-        },
-        "h_a_train": {
-          "shape": [
-            1733,
-            768
-          ],
-          "dtype": "float64"
-        },
-        "b_train": {
-          "shape": [
-            1733,
-            768
-          ],
-          "dtype": "float64"
-        },
-        "h_b_train": {
-          "shape": [
-            1733,
-            768
-          ],
-          "dtype": "float64"
-        },
-        "a_test": {
-          "shape": [
-            436,
-            768
-          ],
-          "dtype": "float64"
-        },
-        "b_test": {
-          "shape": [
-            436,
-            768
-          ],
-          "dtype": "float64"
-        }
-      },
-      "positive_definition": "paired instance index",
-      "registered_dataset": "tartan-rgbt",
-      "collection": "tartan-clips",
-      "train_count": 1733,
-      "test_count": 436,
-      "registered_protocol_sha256": "4cd374cb9165d646d32d6b23352b4f77fba9a9b90ec92b7d966155f0cc9b9b1a",
-      "access_review": "source_terms_reviewed_2026-10-29",
-      "release_eligibility": "eligible_with_conditions",
-      "proposed_feature_release_terms": "BSD-3-Clause-Clear",
-      "original_distribution_status": "pending_source_license_review",
-      "distribution_status": "eligible_for_initial_release_with_conditions"
-    },
-    {
-      "path": "retrieval/languagebind/thermal-depth.npz",
-      "task": "retrieval",
-      "backbone": "languagebind",
-      "relation": "thermal-depth",
-      "dataset": "TartanRGBT",
-      "bytes": 26167156,
-      "sha256": "1d859b0988420b4b4be381b1586a0f5445420b928e9aee4f3d0ac927ebcd3375",
-      "arrays": {
-        "a_train": {
-          "shape": [
-            1733,
-            768
-          ],
-          "dtype": "float64"
-        },
-        "h_a_train": {
-          "shape": [
-            1733,
-            768
-          ],
-          "dtype": "float64"
-        },
-        "b_train": {
-          "shape": [
-            1733,
-            768
-          ],
-          "dtype": "float64"
-        },
-        "h_b_train": {
-          "shape": [
-            1733,
-            768
-          ],
-          "dtype": "float64"
-        },
-        "a_test": {
-          "shape": [
-            436,
-            768
-          ],
-          "dtype": "float64"
-        },
-        "b_test": {
-          "shape": [
-            436,
-            768
-          ],
-          "dtype": "float64"
-        }
-      },
-      "positive_definition": "paired instance index",
-      "registered_dataset": "tartan-rgbt",
-      "collection": "tartan-clips",
-      "train_count": 1733,
-      "test_count": 436,
-      "registered_protocol_sha256": "c9cec62a97d1b93e77e23dae38443cfac4bb78b41f43b5e7aed29f996cd88373",
-      "access_review": "source_terms_reviewed_2026-10-29",
-      "release_eligibility": "eligible_with_conditions",
-      "proposed_feature_release_terms": "BSD-3-Clause-Clear",
-      "original_distribution_status": "pending_source_license_review",
-      "distribution_status": "eligible_for_initial_release_with_conditions"
-    },
-    {
-      "path": "retrieval/languagebind/depth-audio.npz",
-      "task": "retrieval",
-      "backbone": "languagebind",
-      "relation": "depth-audio",
-      "dataset": "BatVision",
-      "bytes": 36851450,
-      "sha256": "684f1f1d538ab924b18bbdd6c9e5e41156cd1d1ff19fa3d1c2f8761f773888e0",
-      "arrays": {
-        "a_train": {
-          "shape": [
-            2536,
-            768
-          ],
-          "dtype": "float64"
-        },
-        "h_a_train": {
-          "shape": [
-            2536,
-            768
-          ],
-          "dtype": "float64"
-        },
-        "b_train": {
-          "shape": [
-            2536,
-            768
-          ],
-          "dtype": "float64"
-        },
-        "h_b_train": {
-          "shape": [
-            2536,
-            768
-          ],
-          "dtype": "float64"
-        },
-        "a_test": {
-          "shape": [
-            584,
-            768
-          ],
-          "dtype": "float64"
-        },
-        "b_test": {
-          "shape": [
-            584,
-            768
-          ],
-          "dtype": "float64"
-        }
-      },
-      "positive_definition": "paired instance index",
-      "registered_dataset": "batvision",
-      "collection": "batvision",
-      "train_count": 2536,
-      "test_count": 584,
-      "registered_protocol_sha256": "cc412eb87519cb0535b8b7964d515e6ae656ab3f193904452a61656abec8578f",
-      "access_review": "source_terms_reviewed_2026-10-29",
-      "release_eligibility": "eligible_with_conditions",
-      "proposed_feature_release_terms": "CC-BY-SA-4.0",
-      "original_distribution_status": "pending_source_license_review",
-      "distribution_status": "eligible_for_initial_release_with_conditions"
-    },
-    {
-      "path": "classification/imagebind/text_audio__vggsound.npz",
-      "task": "classification",
-      "backbone": "imagebind",
-      "relation": "text_audio__vggsound",
-      "dataset": "VGGSound-309",
-      "bytes": 200079831,
-      "sha256": "b51dd7e32e6c21abe230d7f8ade0275d15c66c03fe56964939536919ce6bed6c",
-      "arrays": {
-        "a_train": {
-          "shape": [
-            9258,
-            1024
-          ],
-          "dtype": "float32"
-        },
-        "h_a_train": {
-          "shape": [
-            9258,
-            1024
-          ],
-          "dtype": "float32"
-        },
-        "b_train": {
-          "shape": [
-            9258,
-            1024
-          ],
-          "dtype": "float32"
-        },
-        "h_b_train": {
-          "shape": [
-            9258,
-            1024
-          ],
-          "dtype": "float32"
-        },
-        "prototypes": {
-          "shape": [
-            309,
-            1024
-          ],
-          "dtype": "float32"
-        },
-        "queries": {
-          "shape": [
-            15421,
-            1024
-          ],
-          "dtype": "float32"
-        },
-        "labels": {
-          "shape": [
-            15421
-          ],
-          "dtype": "int64"
-        }
-      },
-      "class_names": [
-        "air conditioning noise",
-        "air horn",
-        "airplane",
-        "airplane flyby",
-        "alarm clock ringing",
-        "alligators, crocodiles hissing",
-        "ambulance siren",
-        "arc welding",
-        "baby babbling",
-        "baby crying",
-        "baby laughter",
-        "baltimore oriole calling",
-        "barn swallow calling",
-        "basketball bounce",
-        "bathroom ventilation fan running",
-        "beat boxing",
-        "bee, wasp, etc. buzzing",
-        "bird chirping, tweeting",
-        "bird squawking",
-        "bird wings flapping",
-        "black capped chickadee calling",
-        "blowtorch igniting",
-        "bouncing on trampoline",
-        "bowling impact",
-        "bull bellowing",
-        "canary calling",
-        "cap gun shooting",
-        "car engine idling",
-        "car engine knocking",
-        "car engine starting",
-        "car passing by",
-        "cat caterwauling",
-        "cat growling",
-        "cat hissing",
-        "cat meowing",
-        "cat purring",
-        "cattle mooing",
-        "cattle, bovinae cowbell",
-        "cell phone buzzing",
-        "chainsawing trees",
-        "cheetah chirrup",
-        "chicken clucking",
-        "chicken crowing",
-        "child singing",
-        "child speech, kid speaking",
-        "children shouting",
-        "chimpanzee pant-hooting",
-        "chinchilla barking",
-        "chipmunk chirping",
-        "chopping food",
-        "chopping wood",
-        "church bell ringing",
-        "civil defense siren",
-        "cow lowing",
-        "coyote howling",
-        "cricket chirping",
-        "crow cawing",
-        "cuckoo bird calling",
-        "cupboard opening or closing",
-        "cutting hair with electric trimmers",
-        "dinosaurs bellowing",
-        "disc scratching",
-        "dog barking",
-        "dog baying",
-        "dog bow-wow",
-        "dog growling",
-        "dog howling",
-        "dog whimpering",
-        "donkey, ass braying",
-        "door slamming",
-        "driving buses",
-        "driving motorcycle",
-        "driving snowmobile",
-        "duck quacking",
-        "eagle screaming",
-        "eating with cutlery",
-        "electric grinder grinding",
-        "electric shaver, electric razor shaving",
-        "elephant trumpeting",
-        "eletric blender running",
-        "elk bugling",
-        "engine accelerating, revving, vroom",
-        "female singing",
-        "female speech, woman speaking",
-        "ferret dooking",
-        "fire crackling",
-        "fire truck siren",
-        "fireworks banging",
-        "firing cannon",
-        "firing muskets",
-        "fly, housefly buzzing",
-        "foghorn",
-        "footsteps on snow",
-        "forging swords",
-        "fox barking",
-        "francolin calling",
-        "frog croaking",
-        "gibbon howling",
-        "goat bleating",
-        "golf driving",
-        "goose honking",
-        "hail",
-        "hair dryer drying",
-        "hammering nails",
-        "heart sounds, heartbeat",
-        "hedge trimmer running",
-        "helicopter",
-        "horse clip-clop",
-        "horse neighing",
-        "ice cracking",
-        "ice cream truck, ice cream van",
-        "lathe spinning",
-        "lawn mowing",
-        "lighting firecrackers",
-        "lions growling",
-        "lions roaring",
-        "lip smacking",
-        "machine gun shooting",
-        "magpie calling",
-        "male singing",
-        "male speech, man speaking",
-        "metronome",
-        "missile launch",
-        "mosquito buzzing",
-        "motorboat, speedboat acceleration",
-        "mouse clicking",
-        "mouse pattering",
-        "mouse squeaking",
-        "mynah bird singing",
-        "ocean burbling",
-        "opening or closing car doors",
-        "opening or closing car electric windows",
-        "opening or closing drawers",
-        "orchestra",
-        "otter growling",
-        "owl hooting",
-        "parrot talking",
-        "penguins braying",
-        "people babbling",
-        "people battle cry",
-        "people belly laughing",
-        "people booing",
-        "people burping",
-        "people cheering",
-        "people clapping",
-        "people coughing",
-        "people crowd",
-        "people eating",
-        "people eating apple",
-        "people eating crisps",
-        "people eating noodle",
-        "people farting",
-        "people finger snapping",
-        "people gargling",
-        "people giggling",
-        "people hiccup",
-        "people humming",
-        "people marching",
-        "people nose blowing",
-        "people running",
-        "people screaming",
-        "people shuffling",
-        "people slapping",
-        "people slurping",
-        "people sneezing",
-        "people sniggering",
-        "people sobbing",
-        "people whispering",
-        "people whistling",
-        "pheasant crowing",
-        "pig oinking",
-        "pigeon, dove cooing",
-        "planing timber",
-        "plastic bottle crushing",
-        "playing accordion",
-        "playing acoustic guitar",
-        "playing badminton",
-        "playing bagpipes",
-        "playing banjo",
-        "playing bass drum",
-        "playing bass guitar",
-        "playing bassoon",
-        "playing bongo",
-        "playing bugle",
-        "playing castanets",
-        "playing cello",
-        "playing clarinet",
-        "playing congas",
-        "playing cornet",
-        "playing cymbal",
-        "playing darts",
-        "playing didgeridoo",
-        "playing djembe",
-        "playing double bass",
-        "playing drum kit",
-        "playing electric guitar",
-        "playing electronic organ",
-        "playing erhu",
-        "playing flute",
-        "playing french horn",
-        "playing glockenspiel",
-        "playing gong",
-        "playing guiro",
-        "playing hammond organ",
-        "playing harmonica",
-        "playing harp",
-        "playing harpsichord",
-        "playing hockey",
-        "playing lacrosse",
-        "playing mandolin",
-        "playing marimba, xylophone",
-        "playing oboe",
-        "playing piano",
-        "playing saxophone",
-        "playing shofar",
-        "playing sitar",
-        "playing snare drum",
-        "playing squash",
-        "playing steel guitar, slide guitar",
-        "playing steelpan",
-        "playing synthesizer",
-        "playing tabla",
-        "playing table tennis",
-        "playing tambourine",
-        "playing tennis",
-        "playing theremin",
-        "playing timbales",
-        "playing timpani",
-        "playing trombone",
-        "playing trumpet",
-        "playing tuning fork",
-        "playing tympani",
-        "playing ukulele",
-        "playing vibraphone",
-        "playing violin, fiddle",
-        "playing volleyball",
-        "playing washboard",
-        "playing zither",
-        "police car (siren)",
-        "police radio chatter",
-        "popping popcorn",
-        "printer printing",
-        "pumping water",
-        "race car, auto racing",
-        "railroad car, train wagon",
-        "raining",
-        "rapping",
-        "reversing beeps",
-        "ripping paper",
-        "roller coaster running",
-        "rope skipping",
-        "rowboat, canoe, kayak rowing",
-        "running electric fan",
-        "sailing",
-        "scuba diving",
-        "sea lion barking",
-        "sea waves",
-        "sharpen knife",
-        "sheep bleating",
-        "shot football",
-        "singing bowl",
-        "singing choir",
-        "skateboarding",
-        "skidding",
-        "skiing",
-        "sliding door",
-        "sloshing water",
-        "slot machine",
-        "smoke detector beeping",
-        "snake hissing",
-        "snake rattling",
-        "splashing water",
-        "spraying water",
-        "squishing water",
-        "stream burbling",
-        "strike lighter",
-        "striking bowling",
-        "striking pool",
-        "subway, metro, underground",
-        "swimming",
-        "tap dancing",
-        "tapping guitar",
-        "telephone bell ringing",
-        "thunder",
-        "toilet flushing",
-        "tornado roaring",
-        "tractor digging",
-        "train horning",
-        "train wheels squealing",
-        "train whistling",
-        "turkey gobbling",
-        "typing on computer keyboard",
-        "typing on typewriter",
-        "underwater bubbling",
-        "using sewing machines",
-        "vacuum cleaner cleaning floors",
-        "vehicle horn, car horn, honking",
-        "volcano explosion",
-        "warbler chirping",
-        "waterfall burbling",
-        "whale calling",
-        "wind chime",
-        "wind noise",
-        "wind rustling leaves",
-        "wood thrush calling",
-        "woodpecker pecking tree",
-        "writing on blackboard with chalk",
-        "yodelling",
-        "zebra braying"
-      ],
-      "prototype_description": "official 80-template text prototypes",
-      "registered_dataset": "vggsound",
-      "collection": "vggsound-309",
-      "train_count": 9258,
-      "test_count": 15421,
-      "registered_protocol_sha256": "1e0ca2db010e2ca55c6b47fb035dd4096946771c907c37d0070b9e6f0a5c54bf",
-      "access_review": "source_terms_reviewed_2026-10-29",
-      "release_eligibility": "eligible_with_conditions",
-      "proposed_feature_release_terms": "CC-BY-NC-SA-4.0",
-      "original_distribution_status": "pending_source_license_review",
-      "distribution_status": "eligible_for_initial_release_with_conditions"
-    },
-    {
-      "path": "classification/imagebind/text_thermal__tartan_category.npz",
-      "task": "classification",
-      "backbone": "imagebind",
-      "relation": "text_thermal__tartan_category",
-      "dataset": "TartanRGBT",
-      "bytes": 15405073,
-      "sha256": "719d06eb14011838a3fbb0c8c336c8b629b47f1c61714557de86540ba7af5665",
-      "arrays": {
-        "a_train": {
-          "shape": [
-            1184,
-            1024
-          ],
-          "dtype": "float32"
-        },
-        "h_a_train": {
-          "shape": [
-            1184,
-            1024
-          ],
-          "dtype": "float32"
-        },
-        "b_train": {
-          "shape": [
-            1184,
-            1024
-          ],
-          "dtype": "float32"
-        },
-        "h_b_train": {
-          "shape": [
-            1184,
-            1024
-          ],
-          "dtype": "float32"
-        },
-        "prototypes": {
-          "shape": [
-            4,
-            1024
-          ],
-          "dtype": "float32"
-        },
-        "queries": {
-          "shape": [
-            436,
-            1024
-          ],
-          "dtype": "float32"
-        },
-        "labels": {
-          "shape": [
-            436
-          ],
-          "dtype": "int64"
-        }
-      },
-      "class_names": [
-        "indoor",
-        "offroad",
-        "outdoor",
-        "urban"
-      ],
-      "prototype_description": "mean normalized training-A feature per class",
-      "registered_dataset": "tartan-rgbt",
-      "collection": "tartan-frames",
-      "train_count": 1184,
-      "test_count": 436,
-      "registered_protocol_sha256": "78b515cfdd9b90335e980146b1f3a75298320f738d26f4b1b847783c141abf7f",
-      "access_review": "source_terms_reviewed_2026-10-29",
-      "release_eligibility": "eligible_with_conditions",
-      "proposed_feature_release_terms": "CC-BY-NC-SA-4.0",
-      "original_distribution_status": "pending_source_license_review",
-      "distribution_status": "eligible_for_initial_release_with_conditions"
-    },
-    {
-      "path": "classification/languagebind/video-thermal.npz",
-      "task": "classification",
-      "backbone": "languagebind",
-      "relation": "video-thermal",
-      "dataset": "TartanRGBT",
-      "bytes": 8289637,
-      "sha256": "3dc9afdd6fbb439181f08122f343aaad00ad561f00215866c2dc8949012596e7",
-      "arrays": {
-        "a_train": {
-          "shape": [
-            1184,
-            768
-          ],
-          "dtype": "float32"
-        },
-        "h_a_train": {
-          "shape": [
-            1184,
-            768
-          ],
-          "dtype": "float32"
-        },
-        "b_train": {
-          "shape": [
-            1184,
-            768
-          ],
-          "dtype": "float32"
-        },
-        "h_b_train": {
-          "shape": [
-            1184,
-            768
-          ],
-          "dtype": "float32"
-        },
-        "prototypes": {
-          "shape": [
-            4,
-            768
-          ],
-          "dtype": "float32"
-        },
-        "queries": {
-          "shape": [
-            436,
-            768
-          ],
-          "dtype": "float32"
-        },
-        "labels": {
-          "shape": [
-            436
-          ],
-          "dtype": "int64"
-        }
-      },
-      "class_names": [
-        "indoor",
-        "offroad",
-        "outdoor",
-        "urban"
-      ],
-      "prototype_description": "mean normalized training-A feature per class",
-      "registered_dataset": "tartan-rgbt",
-      "collection": "tartan-clips",
-      "train_count": 1184,
-      "test_count": 436,
-      "registered_protocol_sha256": "1a60c87d3b4bf159c67b5f1430cb63f18191296292dae798dfca7befd8b518f1",
-      "access_review": "source_terms_reviewed_2026-10-29",
-      "release_eligibility": "eligible_with_conditions",
-      "proposed_feature_release_terms": "BSD-3-Clause-Clear",
-      "original_distribution_status": "pending_source_license_review",
-      "distribution_status": "eligible_for_initial_release_with_conditions"
-    },
-    {
-      "path": "classification/languagebind/video-depth.npz",
-      "task": "classification",
-      "backbone": "languagebind",
-      "relation": "video-depth",
-      "dataset": "TartanRGBT",
-      "bytes": 8286574,
-      "sha256": "dae4dd151a227872188681153098e1493e47f4d5105827206577fe183efee683",
-      "arrays": {
-        "a_train": {
-          "shape": [
-            1184,
-            768
-          ],
-          "dtype": "float32"
-        },
-        "h_a_train": {
-          "shape": [
-            1184,
-            768
-          ],
-          "dtype": "float32"
-        },
-        "b_train": {
-          "shape": [
-            1184,
-            768
-          ],
-          "dtype": "float32"
-        },
-        "h_b_train": {
-          "shape": [
-            1184,
-            768
-          ],
-          "dtype": "float32"
-        },
-        "prototypes": {
-          "shape": [
-            4,
-            768
-          ],
-          "dtype": "float32"
-        },
-        "queries": {
-          "shape": [
-            436,
-            768
-          ],
-          "dtype": "float32"
-        },
-        "labels": {
-          "shape": [
-            436
-          ],
-          "dtype": "int64"
-        }
-      },
-      "class_names": [
-        "indoor",
-        "offroad",
-        "outdoor",
-        "urban"
-      ],
-      "prototype_description": "mean normalized training-A feature per class",
-      "registered_dataset": "tartan-rgbt",
-      "collection": "tartan-clips",
-      "train_count": 1184,
-      "test_count": 436,
-      "registered_protocol_sha256": "d90d921e29f91749ba27e358391f3317fe9d38a6be5979c510afcd910f953eb0",
-      "access_review": "source_terms_reviewed_2026-10-29",
-      "release_eligibility": "eligible_with_conditions",
-      "proposed_feature_release_terms": "BSD-3-Clause-Clear",
-      "original_distribution_status": "pending_source_license_review",
-      "distribution_status": "eligible_for_initial_release_with_conditions"
-    },
-    {
-      "path": "classification/languagebind/thermal-depth.npz",
-      "task": "classification",
-      "backbone": "languagebind",
-      "relation": "thermal-depth",
-      "dataset": "TartanRGBT",
-      "bytes": 8287383,
-      "sha256": "0a1f694b27fdbf11c8570acbcd435eeb089ae071a713708071278d7844546ab0",
-      "arrays": {
-        "a_train": {
-          "shape": [
-            1184,
-            768
-          ],
-          "dtype": "float32"
-        },
-        "h_a_train": {
-          "shape": [
-            1184,
-            768
-          ],
-          "dtype": "float32"
-        },
-        "b_train": {
-          "shape": [
-            1184,
-            768
-          ],
-          "dtype": "float32"
-        },
-        "h_b_train": {
-          "shape": [
-            1184,
-            768
-          ],
-          "dtype": "float32"
-        },
-        "prototypes": {
-          "shape": [
-            4,
-            768
-          ],
-          "dtype": "float32"
-        },
-        "queries": {
-          "shape": [
-            436,
-            768
-          ],
-          "dtype": "float32"
-        },
-        "labels": {
-          "shape": [
-            436
-          ],
-          "dtype": "int64"
-        }
-      },
-      "class_names": [
-        "indoor",
-        "offroad",
-        "outdoor",
-        "urban"
-      ],
-      "prototype_description": "mean normalized training-A feature per class",
-      "registered_dataset": "tartan-rgbt",
-      "collection": "tartan-clips",
-      "train_count": 1184,
-      "test_count": 436,
-      "registered_protocol_sha256": "7398e60dc229f8cace02cc699ec5950199dea55c95671a87b2977852375fbd4d",
-      "access_review": "source_terms_reviewed_2026-10-29",
-      "release_eligibility": "eligible_with_conditions",
-      "proposed_feature_release_terms": "BSD-3-Clause-Clear",
-      "original_distribution_status": "pending_source_license_review",
-      "distribution_status": "eligible_for_initial_release_with_conditions"
-    }
-  ],
-  "decision_basis_file": "publication_scope.json"
-}
+{
+  "schema_version": 2,
+  "release": "hsa-features-26-20261102",
+  "publication_status": "public",
+  "paper": "https://arxiv.org/abs/2609.17094",
+  "code_repository": "https://github.com/Luo1Yan/HSA",
+  "evaluation_code_commit": "64b3e9ca01abefb878b02f546f0b593ee459d6cb",
+  "original_manifest": {
+    "release": "hsa-main-20260916",
+    "code_commit": "5ed2fb372aff8e8ac199b9ee75c04ead776d476e",
+    "sha256": "e88d80b00e5a0ed22d9eac283bba897ab40112d56b2f279d4ab14b4d8b2b73ab",
+    "preserved_file": "source_manifest.json"
+  },
+  "protocol_note": "registered_protocol_sha256 identifies the compatible evaluation configuration. Archive-level extraction sidecars were absent in the source package; this field is not a reconstruction of original extraction metadata.",
+  "environment": {
+    "python": "3.12.7",
+    "numpy": "1.26.4",
+    "torch": "2.6.0+cu124"
+  },
+  "scope": {
+    "archive_count": 26,
+    "retrieval_relations": 17,
+    "classification_relations": 9,
+    "npz_bytes": 1736396029,
+    "excluded_archives": [
+      "retrieval/imagebind/text_imu__ego4d_gyro.npz",
+      "retrieval/imagebind/audio_imu__ego4d_gyro.npz",
+      "classification/imagebind/text_imu__ego4d_gyro.npz",
+      "classification/imagebind/audio_imu__ego4d_gyro.npz"
+    ],
+    "excluded_reason": "Ego4D-derived; obtain Ego4D access and generate them with download.py and extract.py"
+  },
+  "license_status": "per_file_terms_in_proposed_feature_release_terms",
+  "files": [
+    {
+      "path": "retrieval/imagebind/text_audio__vggsound.npz",
+      "task": "retrieval",
+      "backbone": "imagebind",
+      "relation": "text_audio__vggsound",
+      "dataset": "VGGSound",
+      "bytes": 21839463,
+      "sha256": "29113a72dc2d2d254ee293d1cc3f3b81d56e4e9dbb5fd0874ee15f06af8f84c2",
+      "arrays": {
+        "a_train": {
+          "shape": [
+            1500,
+            1024
+          ],
+          "dtype": "float32"
+        },
+        "h_a_train": {
+          "shape": [
+            1500,
+            1024
+          ],
+          "dtype": "float32"
+        },
+        "b_train": {
+          "shape": [
+            1500,
+            1024
+          ],
+          "dtype": "float32"
+        },
+        "h_b_train": {
+          "shape": [
+            1500,
+            1024
+          ],
+          "dtype": "float32"
+        },
+        "a_test": {
+          "shape": [
+            1000,
+            1024
+          ],
+          "dtype": "float32"
+        },
+        "b_test": {
+          "shape": [
+            1000,
+            1024
+          ],
+          "dtype": "float32"
+        },
+        "positive_labels": {
+          "shape": [
+            1000
+          ],
+          "dtype": "<U21"
+        }
+      },
+      "positive_definition": "same test label",
+      "registered_dataset": "vggsound",
+      "collection": "vggsound-100",
+      "train_count": 1500,
+      "test_count": 1000,
+      "registered_protocol_sha256": "5b3687cc969dd08455cf96f5fb6898fa63d68d5ecab756674db2f58ec0c19df4",
+      "access_review": "source_terms_reviewed_2026-10-29",
+      "release_eligibility": "eligible_with_conditions",
+      "proposed_feature_release_terms": "CC-BY-NC-SA-4.0",
+      "original_distribution_status": "pending_source_license_review",
+      "distribution_status": "released_2026-11-02"
+    },
+    {
+      "path": "retrieval/imagebind/text_thermal__tartan_category.npz",
+      "task": "retrieval",
+      "backbone": "imagebind",
+      "relation": "text_thermal__tartan_category",
+      "dataset": "TartanRGBT",
+      "bytes": 45489103,
+      "sha256": "5cc390b2c5407a4a360938bf375282b5915b5e4bcd1fc4fb9fb03c806820cfae",
+      "arrays": {
+        "a_train": {
+          "shape": [
+            3326,
+            1024
+          ],
+          "dtype": "float32"
+        },
+        "h_a_train": {
+          "shape": [
+            3326,
+            1024
+          ],
+          "dtype": "float32"
+        },
+        "b_train": {
+          "shape": [
+            3326,
+            1024
+          ],
+          "dtype": "float32"
+        },
+        "h_b_train": {
+          "shape": [
+            3326,
+            1024
+          ],
+          "dtype": "float32"
+        },
+        "a_test": {
+          "shape": [
+            1791,
+            1024
+          ],
+          "dtype": "float32"
+        },
+        "b_test": {
+          "shape": [
+            1791,
+            1024
+          ],
+          "dtype": "float32"
+        },
+        "positive_labels": {
+          "shape": [
+            1791
+          ],
+          "dtype": "<U21"
+        }
+      },
+      "positive_definition": "same test label",
+      "registered_dataset": "tartan-rgbt",
+      "collection": "tartan-frames",
+      "train_count": 3326,
+      "test_count": 1791,
+      "registered_protocol_sha256": "5cba4b0fd5ed79dfd045a715891fb3b915985cb6ac9f823c1b59dd75be7036a9",
+      "access_review": "source_terms_reviewed_2026-10-29",
+      "release_eligibility": "eligible_with_conditions",
+      "proposed_feature_release_terms": "CC-BY-NC-SA-4.0",
+      "original_distribution_status": "pending_source_license_review",
+      "distribution_status": "released_2026-11-02"
+    },
+    {
+      "path": "retrieval/imagebind/audio_depth__batvision.npz",
+      "task": "retrieval",
+      "backbone": "imagebind",
+      "relation": "audio_depth__batvision",
+      "dataset": "BatVision",
+      "bytes": 42750523,
+      "sha256": "ecdac733ab8d6996d3eaa364191be2b35bd2a5e87d31c5c3e6ef171132d3309b",
+      "arrays": {
+        "a_train": {
+          "shape": [
+            2536,
+            1024
+          ],
+          "dtype": "float32"
+        },
+        "h_a_train": {
+          "shape": [
+            2536,
+            1024
+          ],
+          "dtype": "float32"
+        },
+        "b_train": {
+          "shape": [
+            2536,
+            1024
+          ],
+          "dtype": "float32"
+        },
+        "h_b_train": {
+          "shape": [
+            2536,
+            1024
+          ],
+          "dtype": "float32"
+        },
+        "a_test": {
+          "shape": [
+            584,
+            1024
+          ],
+          "dtype": "float32"
+        },
+        "b_test": {
+          "shape": [
+            584,
+            1024
+          ],
+          "dtype": "float32"
+        }
+      },
+      "positive_definition": "paired instance index",
+      "registered_dataset": "batvision",
+      "collection": "batvision",
+      "train_count": 2536,
+      "test_count": 584,
+      "registered_protocol_sha256": "293a553e31a87b1665447433fa8c0e6973ec4f10f6e6c0170e69428c3a1a4bc0",
+      "access_review": "source_terms_reviewed_2026-11-02",
+      "proposed_feature_release_terms": "CC-BY-SA-4.0",
+      "distribution_status": "released_2026-11-02"
+    },
+    {
+      "path": "retrieval/imagebind/audio_thermal__mavd.npz",
+      "task": "retrieval",
+      "backbone": "imagebind",
+      "relation": "audio_thermal__mavd",
+      "dataset": "MAVD",
+      "bytes": 10482866,
+      "sha256": "90e58633f519a9f2f4ed7600f4275a10e7fbbf2b1d225fce2d0e083c4f2f15a3",
+      "arrays": {
+        "a_train": {
+          "shape": [
+            648,
+            1024
+          ],
+          "dtype": "float32"
+        },
+        "h_a_train": {
+          "shape": [
+            648,
+            1024
+          ],
+          "dtype": "float32"
+        },
+        "b_train": {
+          "shape": [
+            648,
+            1024
+          ],
+          "dtype": "float32"
+        },
+        "h_b_train": {
+          "shape": [
+            648,
+            1024
+          ],
+          "dtype": "float32"
+        },
+        "a_test": {
+          "shape": [
+            432,
+            1024
+          ],
+          "dtype": "float32"
+        },
+        "b_test": {
+          "shape": [
+            432,
+            1024
+          ],
+          "dtype": "float32"
+        }
+      },
+      "positive_definition": "paired instance index",
+      "registered_dataset": "mavd",
+      "collection": "mavd",
+      "train_count": 648,
+      "test_count": 432,
+      "registered_protocol_sha256": "1f006ab1d0fd1f829a78d79ab9a0c6b51af7c7df211ca408a586f8941311a1db",
+      "access_review": "source_terms_reviewed_2026-11-02",
+      "proposed_feature_release_terms": "MAVD-RLLA-noncommercial",
+      "distribution_status": "released_2026-11-02"
+    },
+    {
+      "path": "retrieval/imagebind/depth_thermal__tartan.npz",
+      "task": "retrieval",
+      "backbone": "imagebind",
+      "relation": "depth_thermal__tartan",
+      "dataset": "TartanRGBT",
+      "bytes": 197030313,
+      "sha256": "1b841447bc28a44be4faf81101cdce9276126753bfe5b45f9f1cb4d2f305b00d",
+      "arrays": {
+        "a_train": {
+          "shape": [
+            8602,
+            1024
+          ],
+          "dtype": "float32"
+        },
+        "h_a_train": {
+          "shape": [
+            8602,
+            1024
+          ],
+          "dtype": "float32"
+        },
+        "b_train": {
+          "shape": [
+            8602,
+            1024
+          ],
+          "dtype": "float32"
+        },
+        "h_b_train": {
+          "shape": [
+            8602,
+            1024
+          ],
+          "dtype": "float32"
+        },
+        "a_test": {
+          "shape": [
+            8601,
+            1024
+          ],
+          "dtype": "float32"
+        },
+        "b_test": {
+          "shape": [
+            8601,
+            1024
+          ],
+          "dtype": "float32"
+        }
+      },
+      "positive_definition": "paired instance index",
+      "registered_dataset": "tartan-rgbt",
+      "collection": "tartan-frames",
+      "train_count": 8602,
+      "test_count": 8601,
+      "registered_protocol_sha256": "5c98d1d4d4867f311322aef4543a567264cbeb1b92b2aaad0e55ea1448902c15",
+      "access_review": "source_terms_reviewed_2026-10-29",
+      "release_eligibility": "eligible_with_conditions",
+      "proposed_feature_release_terms": "CC-BY-NC-SA-4.0",
+      "original_distribution_status": "pending_source_license_review",
+      "distribution_status": "released_2026-11-02"
+    },
+    {
+      "path": "retrieval/imagebind/depth_imu__utd.npz",
+      "task": "retrieval",
+      "backbone": "imagebind",
+      "relation": "depth_imu__utd",
+      "dataset": "UTD-MHAD",
+      "bytes": 9869936,
+      "sha256": "f4c07ddf20ac367102974b620b2acb1b84e58df278a969564161cf94aafa7ff7",
+      "arrays": {
+        "a_train": {
+          "shape": [
+            431,
+            1024
+          ],
+          "dtype": "float32"
+        },
+        "h_a_train": {
+          "shape": [
+            431,
+            1024
+          ],
+          "dtype": "float32"
+        },
+        "b_train": {
+          "shape": [
+            431,
+            1024
+          ],
+          "dtype": "float32"
+        },
+        "h_b_train": {
+          "shape": [
+            431,
+            1024
+          ],
+          "dtype": "float32"
+        },
+        "a_test": {
+          "shape": [
+            430,
+            1024
+          ],
+          "dtype": "float32"
+        },
+        "b_test": {
+          "shape": [
+            430,
+            1024
+          ],
+          "dtype": "float32"
+        }
+      },
+      "positive_definition": "paired instance index",
+      "registered_dataset": "utd-mhad",
+      "collection": "utd-mhad",
+      "train_count": 431,
+      "test_count": 430,
+      "registered_protocol_sha256": "dd6ff6116349bb70b0fb9eac2deee1ac2f7d02e4580d4b0e17328f446e953f53",
+      "access_review": "source_terms_reviewed_2026-11-02",
+      "proposed_feature_release_terms": "CC-BY-NC-SA-4.0",
+      "distribution_status": "released_2026-11-02"
+    },
+    {
+      "path": "retrieval/imagebind/thermal_imu__caltech_gyro.npz",
+      "task": "retrieval",
+      "backbone": "imagebind",
+      "relation": "thermal_imu__caltech_gyro",
+      "dataset": "Caltech Aerial RGBT",
+      "bytes": 5603143,
+      "sha256": "35e02a06864a1367651c5721144c96d39ced2ff37f8c7af37d7e26e7ebf81915",
+      "arrays": {
+        "a_train": {
+          "shape": [
+            245,
+            1024
+          ],
+          "dtype": "float32"
+        },
+        "h_a_train": {
+          "shape": [
+            245,
+            1024
+          ],
+          "dtype": "float32"
+        },
+        "b_train": {
+          "shape": [
+            245,
+            1024
+          ],
+          "dtype": "float32"
+        },
+        "h_b_train": {
+          "shape": [
+            245,
+            1024
+          ],
+          "dtype": "float32"
+        },
+        "a_test": {
+          "shape": [
+            245,
+            1024
+          ],
+          "dtype": "float32"
+        },
+        "b_test": {
+          "shape": [
+            245,
+            1024
+          ],
+          "dtype": "float32"
+        }
+      },
+      "positive_definition": "paired instance index",
+      "registered_dataset": "caltech-rgbt",
+      "collection": "caltech-rgbt",
+      "train_count": 245,
+      "test_count": 245,
+      "registered_protocol_sha256": "691288e9564213a382b6ee60933802bea39e14d491834a15a3b0c4e887898b59",
+      "access_review": "source_terms_reviewed_2026-10-29",
+      "release_eligibility": "eligible_with_conditions",
+      "proposed_feature_release_terms": "CC-BY-NC-SA-4.0",
+      "original_distribution_status": "pending_source_license_review",
+      "distribution_status": "released_2026-11-02"
+    },
+    {
+      "path": "retrieval/languagebind/image-video.npz",
+      "task": "retrieval",
+      "backbone": "languagebind",
+      "relation": "image-video",
+      "dataset": "UCF101",
+      "bytes": 120834880,
+      "sha256": "fccb3c4f01f879830d8b9a193dba701bb130c9e30e14350094b94bb37a5a130e",
+      "arrays": {
+        "a_train": {
+          "shape": [
+            7070,
+            768
+          ],
+          "dtype": "float64"
+        },
+        "h_a_train": {
+          "shape": [
+            7070,
+            768
+          ],
+          "dtype": "float64"
+        },
+        "b_train": {
+          "shape": [
+            7070,
+            768
+          ],
+          "dtype": "float64"
+        },
+        "h_b_train": {
+          "shape": [
+            7070,
+            768
+          ],
+          "dtype": "float64"
+        },
+        "a_test": {
+          "shape": [
+            3030,
+            768
+          ],
+          "dtype": "float64"
+        },
+        "b_test": {
+          "shape": [
+            3030,
+            768
+          ],
+          "dtype": "float64"
+        }
+      },
+      "positive_definition": "paired instance index",
+      "registered_dataset": "ucf101",
+      "collection": "ucf101",
+      "train_count": 7070,
+      "test_count": 3030,
+      "registered_protocol_sha256": "38f886fc487eeddb93b497e3486a06d44692ec3c10e1b7ba82d22a43be8ea5e1",
+      "access_review": "source_terms_reviewed_2026-11-02",
+      "proposed_feature_release_terms": "CC-BY-NC-4.0",
+      "distribution_status": "released_2026-11-02"
+    },
+    {
+      "path": "retrieval/languagebind/image-thermal.npz",
+      "task": "retrieval",
+      "backbone": "languagebind",
+      "relation": "image-thermal",
+      "dataset": "TartanRGBT",
+      "bytes": 26167509,
+      "sha256": "43a1f17e785c0a3202ae7e6f9af692e8a87c24adcf029c5f84ac478f7e4cfbdd",
+      "arrays": {
+        "a_train": {
+          "shape": [
+            1733,
+            768
+          ],
+          "dtype": "float64"
+        },
+        "h_a_train": {
+          "shape": [
+            1733,
+            768
+          ],
+          "dtype": "float64"
+        },
+        "b_train": {
+          "shape": [
+            1733,
+            768
+          ],
+          "dtype": "float64"
+        },
+        "h_b_train": {
+          "shape": [
+            1733,
+            768
+          ],
+          "dtype": "float64"
+        },
+        "a_test": {
+          "shape": [
+            436,
+            768
+          ],
+          "dtype": "float64"
+        },
+        "b_test": {
+          "shape": [
+            436,
+            768
+          ],
+          "dtype": "float64"
+        }
+      },
+      "positive_definition": "paired instance index",
+      "registered_dataset": "tartan-rgbt",
+      "collection": "tartan-clips",
+      "train_count": 1733,
+      "test_count": 436,
+      "registered_protocol_sha256": "fc3ff1df5c5f1249918f4be1c061f98b1582303f12dc9fd53b8880b3ce4e750a",
+      "access_review": "source_terms_reviewed_2026-10-29",
+      "release_eligibility": "eligible_with_conditions",
+      "proposed_feature_release_terms": "BSD-3-Clause-Clear",
+      "original_distribution_status": "pending_source_license_review",
+      "distribution_status": "released_2026-11-02"
+    },
+    {
+      "path": "retrieval/languagebind/image-depth.npz",
+      "task": "retrieval",
+      "backbone": "languagebind",
+      "relation": "image-depth",
+      "dataset": "NYUv2",
+      "bytes": 574927051,
+      "sha256": "6ee702d338d867edfc889c4dfaaff59d9da8b7cd53926b8271b7cae65a89d448",
+      "arrays": {
+        "a_train": {
+          "shape": [
+            47584,
+            768
+          ],
+          "dtype": "float64"
+        },
+        "h_a_train": {
+          "shape": [
+            47584,
+            768
+          ],
+          "dtype": "float64"
+        },
+        "b_train": {
+          "shape": [
+            47584,
+            768
+          ],
+          "dtype": "float64"
+        },
+        "h_b_train": {
+          "shape": [
+            47584,
+            768
+          ],
+          "dtype": "float64"
+        },
+        "a_test": {
+          "shape": [
+            654,
+            768
+          ],
+          "dtype": "float64"
+        },
+        "b_test": {
+          "shape": [
+            654,
+            768
+          ],
+          "dtype": "float64"
+        }
+      },
+      "positive_definition": "paired instance index",
+      "registered_dataset": "nyuv2",
+      "collection": "nyuv2-cmcl",
+      "train_count": 47584,
+      "test_count": 654,
+      "registered_protocol_sha256": "30f6e8f8913b30f2804e8c5f6f6e00ed9417dfc56090d32dc5e043eae8514da9",
+      "access_review": "source_terms_reviewed_2026-11-02",
+      "proposed_feature_release_terms": "CC-BY-NC-4.0",
+      "distribution_status": "released_2026-11-02"
+    },
+    {
+      "path": "retrieval/languagebind/image-audio.npz",
+      "task": "retrieval",
+      "backbone": "languagebind",
+      "relation": "image-audio",
+      "dataset": "VGGSound",
+      "bytes": 30735748,
+      "sha256": "90a06ec8b7b4356492aa33d2ad25375eb1fc8b02b702d475a0572640200b69a8",
+      "arrays": {
+        "a_train": {
+          "shape": [
+            1500,
+            768
+          ],
+          "dtype": "float64"
+        },
+        "h_a_train": {
+          "shape": [
+            1500,
+            768
+          ],
+          "dtype": "float64"
+        },
+        "b_train": {
+          "shape": [
+            1500,
+            768
+          ],
+          "dtype": "float64"
+        },
+        "h_b_train": {
+          "shape": [
+            1500,
+            768
+          ],
+          "dtype": "float64"
+        },
+        "a_test": {
+          "shape": [
+            1000,
+            768
+          ],
+          "dtype": "float64"
+        },
+        "b_test": {
+          "shape": [
+            1000,
+            768
+          ],
+          "dtype": "float64"
+        }
+      },
+      "positive_definition": "paired instance index",
+      "registered_dataset": "vggsound",
+      "collection": "vggsound-100",
+      "train_count": 1500,
+      "test_count": 1000,
+      "registered_protocol_sha256": "74d1ac26205dd5eb2e54ff28a781e3404e27ca387f1d6c1ebab926a1cb04ab9c",
+      "access_review": "source_terms_reviewed_2026-10-29",
+      "release_eligibility": "eligible_with_conditions",
+      "proposed_feature_release_terms": "CC-BY-4.0",
+      "original_distribution_status": "pending_source_license_review",
+      "distribution_status": "released_2026-11-02"
+    },
+    {
+      "path": "retrieval/languagebind/video-thermal.npz",
+      "task": "retrieval",
+      "backbone": "languagebind",
+      "relation": "video-thermal",
+      "dataset": "TartanRGBT",
+      "bytes": 26181703,
+      "sha256": "5fa09b0b9ef3b656e869ab90f682ec2cea73311af72c4c1ddff80ac0ac54b724",
+      "arrays": {
+        "a_train": {
+          "shape": [
+            1733,
+            768
+          ],
+          "dtype": "float64"
+        },
+        "h_a_train": {
+          "shape": [
+            1733,
+            768
+          ],
+          "dtype": "float64"
+        },
+        "b_train": {
+          "shape": [
+            1733,
+            768
+          ],
+          "dtype": "float64"
+        },
+        "h_b_train": {
+          "shape": [
+            1733,
+            768
+          ],
+          "dtype": "float64"
+        },
+        "a_test": {
+          "shape": [
+            436,
+            768
+          ],
+          "dtype": "float64"
+        },
+        "b_test": {
+          "shape": [
+            436,
+            768
+          ],
+          "dtype": "float64"
+        }
+      },
+      "positive_definition": "paired instance index",
+      "registered_dataset": "tartan-rgbt",
+      "collection": "tartan-clips",
+      "train_count": 1733,
+      "test_count": 436,
+      "registered_protocol_sha256": "78c2505929f650adb05016ce09c821eb5e0c88613f60b3f7d1dae8e9fefc6427",
+      "access_review": "source_terms_reviewed_2026-10-29",
+      "release_eligibility": "eligible_with_conditions",
+      "proposed_feature_release_terms": "BSD-3-Clause-Clear",
+      "original_distribution_status": "pending_source_license_review",
+      "distribution_status": "released_2026-11-02"
+    },
+    {
+      "path": "retrieval/languagebind/video-depth.npz",
+      "task": "retrieval",
+      "backbone": "languagebind",
+      "relation": "video-depth",
+      "dataset": "TartanRGBT",
+      "bytes": 26187207,
+      "sha256": "37ac7e4f083d200d7e5c619a0c973f76e1d53346a728c274cbc2024afa254c23",
+      "arrays": {
+        "a_train": {
+          "shape": [
+            1733,
+            768
+          ],
+          "dtype": "float64"
+        },
+        "h_a_train": {
+          "shape": [
+            1733,
+            768
+          ],
+          "dtype": "float64"
+        },
+        "b_train": {
+          "shape": [
+            1733,
+            768
+          ],
+          "dtype": "float64"
+        },
+        "h_b_train": {
+          "shape": [
+            1733,
+            768
+          ],
+          "dtype": "float64"
+        },
+        "a_test": {
+          "shape": [
+            436,
+            768
+          ],
+          "dtype": "float64"
+        },
+        "b_test": {
+          "shape": [
+            436,
+            768
+          ],
+          "dtype": "float64"
+        }
+      },
+      "positive_definition": "paired instance index",
+      "registered_dataset": "tartan-rgbt",
+      "collection": "tartan-clips",
+      "train_count": 1733,
+      "test_count": 436,
+      "registered_protocol_sha256": "4cd374cb9165d646d32d6b23352b4f77fba9a9b90ec92b7d966155f0cc9b9b1a",
+      "access_review": "source_terms_reviewed_2026-10-29",
+      "release_eligibility": "eligible_with_conditions",
+      "proposed_feature_release_terms": "BSD-3-Clause-Clear",
+      "original_distribution_status": "pending_source_license_review",
+      "distribution_status": "released_2026-11-02"
+    },
+    {
+      "path": "retrieval/languagebind/video-audio.npz",
+      "task": "retrieval",
+      "backbone": "languagebind",
+      "relation": "video-audio",
+      "dataset": "MSR-VTT",
+      "bytes": 155918587,
+      "sha256": "62242e9d6286289ebf133b05bdaf630e884f3b680d5653926f4dadc3e4a47885",
+      "arrays": {
+        "a_train": {
+          "shape": [
+            6176,
+            768
+          ],
+          "dtype": "float64"
+        },
+        "h_a_train": {
+          "shape": [
+            6176,
+            768
+          ],
+          "dtype": "float64"
+        },
+        "b_train": {
+          "shape": [
+            6176,
+            768
+          ],
+          "dtype": "float64"
+        },
+        "h_b_train": {
+          "shape": [
+            6176,
+            768
+          ],
+          "dtype": "float64"
+        },
+        "a_test": {
+          "shape": [
+            884,
+            768
+          ],
+          "dtype": "float64"
+        },
+        "b_test": {
+          "shape": [
+            884,
+            768
+          ],
+          "dtype": "float64"
+        }
+      },
+      "positive_definition": "paired instance index",
+      "registered_dataset": "msrvtt",
+      "collection": "msrvtt",
+      "train_count": 6176,
+      "test_count": 884,
+      "registered_protocol_sha256": "99892583be7f7220a09bcca32e566dee763864122039e2f55c959da686b7d2ed",
+      "access_review": "source_terms_reviewed_2026-11-02",
+      "proposed_feature_release_terms": "CC-BY-NC-4.0",
+      "distribution_status": "released_2026-11-02"
+    },
+    {
+      "path": "retrieval/languagebind/thermal-depth.npz",
+      "task": "retrieval",
+      "backbone": "languagebind",
+      "relation": "thermal-depth",
+      "dataset": "TartanRGBT",
+      "bytes": 26167156,
+      "sha256": "1d859b0988420b4b4be381b1586a0f5445420b928e9aee4f3d0ac927ebcd3375",
+      "arrays": {
+        "a_train": {
+          "shape": [
+            1733,
+            768
+          ],
+          "dtype": "float64"
+        },
+        "h_a_train": {
+          "shape": [
+            1733,
+            768
+          ],
+          "dtype": "float64"
+        },
+        "b_train": {
+          "shape": [
+            1733,
+            768
+          ],
+          "dtype": "float64"
+        },
+        "h_b_train": {
+          "shape": [
+            1733,
+            768
+          ],
+          "dtype": "float64"
+        },
+        "a_test": {
+          "shape": [
+            436,
+            768
+          ],
+          "dtype": "float64"
+        },
+        "b_test": {
+          "shape": [
+            436,
+            768
+          ],
+          "dtype": "float64"
+        }
+      },
+      "positive_definition": "paired instance index",
+      "registered_dataset": "tartan-rgbt",
+      "collection": "tartan-clips",
+      "train_count": 1733,
+      "test_count": 436,
+      "registered_protocol_sha256": "c9cec62a97d1b93e77e23dae38443cfac4bb78b41f43b5e7aed29f996cd88373",
+      "access_review": "source_terms_reviewed_2026-10-29",
+      "release_eligibility": "eligible_with_conditions",
+      "proposed_feature_release_terms": "BSD-3-Clause-Clear",
+      "original_distribution_status": "pending_source_license_review",
+      "distribution_status": "released_2026-11-02"
+    },
+    {
+      "path": "retrieval/languagebind/thermal-audio.npz",
+      "task": "retrieval",
+      "backbone": "languagebind",
+      "relation": "thermal-audio",
+      "dataset": "MAVD",
+      "bytes": 10157382,
+      "sha256": "e1b1d5f6212cc2add3b683800d1e1b511a64a88ee842580e380d63773cc8d79f",
+      "arrays": {
+        "a_train": {
+          "shape": [
+            647,
+            768
+          ],
+          "dtype": "float64"
+        },
+        "h_a_train": {
+          "shape": [
+            647,
+            768
+          ],
+          "dtype": "float64"
+        },
+        "b_train": {
+          "shape": [
+            647,
+            768
+          ],
+          "dtype": "float64"
+        },
+        "h_b_train": {
+          "shape": [
+            647,
+            768
+          ],
+          "dtype": "float64"
+        },
+        "a_test": {
+          "shape": [
+            433,
+            768
+          ],
+          "dtype": "float64"
+        },
+        "b_test": {
+          "shape": [
+            433,
+            768
+          ],
+          "dtype": "float64"
+        }
+      },
+      "positive_definition": "paired instance index",
+      "registered_dataset": "mavd",
+      "collection": "mavd",
+      "train_count": 647,
+      "test_count": 433,
+      "registered_protocol_sha256": "ffade8507bdf0ae2c0876268bd43515626da6a7ca7618f25b7d845719e315fef",
+      "access_review": "source_terms_reviewed_2026-11-02",
+      "proposed_feature_release_terms": "MAVD-RLLA-noncommercial",
+      "distribution_status": "released_2026-11-02"
+    },
+    {
+      "path": "retrieval/languagebind/depth-audio.npz",
+      "task": "retrieval",
+      "backbone": "languagebind",
+      "relation": "depth-audio",
+      "dataset": "BatVision",
+      "bytes": 36851450,
+      "sha256": "684f1f1d538ab924b18bbdd6c9e5e41156cd1d1ff19fa3d1c2f8761f773888e0",
+      "arrays": {
+        "a_train": {
+          "shape": [
+            2536,
+            768
+          ],
+          "dtype": "float64"
+        },
+        "h_a_train": {
+          "shape": [
+            2536,
+            768
+          ],
+          "dtype": "float64"
+        },
+        "b_train": {
+          "shape": [
+            2536,
+            768
+          ],
+          "dtype": "float64"
+        },
+        "h_b_train": {
+          "shape": [
+            2536,
+            768
+          ],
+          "dtype": "float64"
+        },
+        "a_test": {
+          "shape": [
+            584,
+            768
+          ],
+          "dtype": "float64"
+        },
+        "b_test": {
+          "shape": [
+            584,
+            768
+          ],
+          "dtype": "float64"
+        }
+      },
+      "positive_definition": "paired instance index",
+      "registered_dataset": "batvision",
+      "collection": "batvision",
+      "train_count": 2536,
+      "test_count": 584,
+      "registered_protocol_sha256": "cc412eb87519cb0535b8b7964d515e6ae656ab3f193904452a61656abec8578f",
+      "access_review": "source_terms_reviewed_2026-10-29",
+      "release_eligibility": "eligible_with_conditions",
+      "proposed_feature_release_terms": "CC-BY-SA-4.0",
+      "original_distribution_status": "pending_source_license_review",
+      "distribution_status": "released_2026-11-02"
+    },
+    {
+      "path": "classification/imagebind/text_audio__vggsound.npz",
+      "task": "classification",
+      "backbone": "imagebind",
+      "relation": "text_audio__vggsound",
+      "dataset": "VGGSound-309",
+      "bytes": 200079831,
+      "sha256": "b51dd7e32e6c21abe230d7f8ade0275d15c66c03fe56964939536919ce6bed6c",
+      "arrays": {
+        "a_train": {
+          "shape": [
+            9258,
+            1024
+          ],
+          "dtype": "float32"
+        },
+        "h_a_train": {
+          "shape": [
+            9258,
+            1024
+          ],
+          "dtype": "float32"
+        },
+        "b_train": {
+          "shape": [
+            9258,
+            1024
+          ],
+          "dtype": "float32"
+        },
+        "h_b_train": {
+          "shape": [
+            9258,
+            1024
+          ],
+          "dtype": "float32"
+        },
+        "prototypes": {
+          "shape": [
+            309,
+            1024
+          ],
+          "dtype": "float32"
+        },
+        "queries": {
+          "shape": [
+            15421,
+            1024
+          ],
+          "dtype": "float32"
+        },
+        "labels": {
+          "shape": [
+            15421
+          ],
+          "dtype": "int64"
+        }
+      },
+      "class_names": [
+        "air conditioning noise",
+        "air horn",
+        "airplane",
+        "airplane flyby",
+        "alarm clock ringing",
+        "alligators, crocodiles hissing",
+        "ambulance siren",
+        "arc welding",
+        "baby babbling",
+        "baby crying",
+        "baby laughter",
+        "baltimore oriole calling",
+        "barn swallow calling",
+        "basketball bounce",
+        "bathroom ventilation fan running",
+        "beat boxing",
+        "bee, wasp, etc. buzzing",
+        "bird chirping, tweeting",
+        "bird squawking",
+        "bird wings flapping",
+        "black capped chickadee calling",
+        "blowtorch igniting",
+        "bouncing on trampoline",
+        "bowling impact",
+        "bull bellowing",
+        "canary calling",
+        "cap gun shooting",
+        "car engine idling",
+        "car engine knocking",
+        "car engine starting",
+        "car passing by",
+        "cat caterwauling",
+        "cat growling",
+        "cat hissing",
+        "cat meowing",
+        "cat purring",
+        "cattle mooing",
+        "cattle, bovinae cowbell",
+        "cell phone buzzing",
+        "chainsawing trees",
+        "cheetah chirrup",
+        "chicken clucking",
+        "chicken crowing",
+        "child singing",
+        "child speech, kid speaking",
+        "children shouting",
+        "chimpanzee pant-hooting",
+        "chinchilla barking",
+        "chipmunk chirping",
+        "chopping food",
+        "chopping wood",
+        "church bell ringing",
+        "civil defense siren",
+        "cow lowing",
+        "coyote howling",
+        "cricket chirping",
+        "crow cawing",
+        "cuckoo bird calling",
+        "cupboard opening or closing",
+        "cutting hair with electric trimmers",
+        "dinosaurs bellowing",
+        "disc scratching",
+        "dog barking",
+        "dog baying",
+        "dog bow-wow",
+        "dog growling",
+        "dog howling",
+        "dog whimpering",
+        "donkey, ass braying",
+        "door slamming",
+        "driving buses",
+        "driving motorcycle",
+        "driving snowmobile",
+        "duck quacking",
+        "eagle screaming",
+        "eating with cutlery",
+        "electric grinder grinding",
+        "electric shaver, electric razor shaving",
+        "elephant trumpeting",
+        "eletric blender running",
+        "elk bugling",
+        "engine accelerating, revving, vroom",
+        "female singing",
+        "female speech, woman speaking",
+        "ferret dooking",
+        "fire crackling",
+        "fire truck siren",
+        "fireworks banging",
+        "firing cannon",
+        "firing muskets",
+        "fly, housefly buzzing",
+        "foghorn",
+        "footsteps on snow",
+        "forging swords",
+        "fox barking",
+        "francolin calling",
+        "frog croaking",
+        "gibbon howling",
+        "goat bleating",
+        "golf driving",
+        "goose honking",
+        "hail",
+        "hair dryer drying",
+        "hammering nails",
+        "heart sounds, heartbeat",
+        "hedge trimmer running",
+        "helicopter",
+        "horse clip-clop",
+        "horse neighing",
+        "ice cracking",
+        "ice cream truck, ice cream van",
+        "lathe spinning",
+        "lawn mowing",
+        "lighting firecrackers",
+        "lions growling",
+        "lions roaring",
+        "lip smacking",
+        "machine gun shooting",
+        "magpie calling",
+        "male singing",
+        "male speech, man speaking",
+        "metronome",
+        "missile launch",
+        "mosquito buzzing",
+        "motorboat, speedboat acceleration",
+        "mouse clicking",
+        "mouse pattering",
+        "mouse squeaking",
+        "mynah bird singing",
+        "ocean burbling",
+        "opening or closing car doors",
+        "opening or closing car electric windows",
+        "opening or closing drawers",
+        "orchestra",
+        "otter growling",
+        "owl hooting",
+        "parrot talking",
+        "penguins braying",
+        "people babbling",
+        "people battle cry",
+        "people belly laughing",
+        "people booing",
+        "people burping",
+        "people cheering",
+        "people clapping",
+        "people coughing",
+        "people crowd",
+        "people eating",
+        "people eating apple",
+        "people eating crisps",
+        "people eating noodle",
+        "people farting",
+        "people finger snapping",
+        "people gargling",
+        "people giggling",
+        "people hiccup",
+        "people humming",
+        "people marching",
+        "people nose blowing",
+        "people running",
+        "people screaming",
+        "people shuffling",
+        "people slapping",
+        "people slurping",
+        "people sneezing",
+        "people sniggering",
+        "people sobbing",
+        "people whispering",
+        "people whistling",
+        "pheasant crowing",
+        "pig oinking",
+        "pigeon, dove cooing",
+        "planing timber",
+        "plastic bottle crushing",
+        "playing accordion",
+        "playing acoustic guitar",
+        "playing badminton",
+        "playing bagpipes",
+        "playing banjo",
+        "playing bass drum",
+        "playing bass guitar",
+        "playing bassoon",
+        "playing bongo",
+        "playing bugle",
+        "playing castanets",
+        "playing cello",
+        "playing clarinet",
+        "playing congas",
+        "playing cornet",
+        "playing cymbal",
+        "playing darts",
+        "playing didgeridoo",
+        "playing djembe",
+        "playing double bass",
+        "playing drum kit",
+        "playing electric guitar",
+        "playing electronic organ",
+        "playing erhu",
+        "playing flute",
+        "playing french horn",
+        "playing glockenspiel",
+        "playing gong",
+        "playing guiro",
+        "playing hammond organ",
+        "playing harmonica",
+        "playing harp",
+        "playing harpsichord",
+        "playing hockey",
+        "playing lacrosse",
+        "playing mandolin",
+        "playing marimba, xylophone",
+        "playing oboe",
+        "playing piano",
+        "playing saxophone",
+        "playing shofar",
+        "playing sitar",
+        "playing snare drum",
+        "playing squash",
+        "playing steel guitar, slide guitar",
+        "playing steelpan",
+        "playing synthesizer",
+        "playing tabla",
+        "playing table tennis",
+        "playing tambourine",
+        "playing tennis",
+        "playing theremin",
+        "playing timbales",
+        "playing timpani",
+        "playing trombone",
+        "playing trumpet",
+        "playing tuning fork",
+        "playing tympani",
+        "playing ukulele",
+        "playing vibraphone",
+        "playing violin, fiddle",
+        "playing volleyball",
+        "playing washboard",
+        "playing zither",
+        "police car (siren)",
+        "police radio chatter",
+        "popping popcorn",
+        "printer printing",
+        "pumping water",
+        "race car, auto racing",
+        "railroad car, train wagon",
+        "raining",
+        "rapping",
+        "reversing beeps",
+        "ripping paper",
+        "roller coaster running",
+        "rope skipping",
+        "rowboat, canoe, kayak rowing",
+        "running electric fan",
+        "sailing",
+        "scuba diving",
+        "sea lion barking",
+        "sea waves",
+        "sharpen knife",
+        "sheep bleating",
+        "shot football",
+        "singing bowl",
+        "singing choir",
+        "skateboarding",
+        "skidding",
+        "skiing",
+        "sliding door",
+        "sloshing water",
+        "slot machine",
+        "smoke detector beeping",
+        "snake hissing",
+        "snake rattling",
+        "splashing water",
+        "spraying water",
+        "squishing water",
+        "stream burbling",
+        "strike lighter",
+        "striking bowling",
+        "striking pool",
+        "subway, metro, underground",
+        "swimming",
+        "tap dancing",
+        "tapping guitar",
+        "telephone bell ringing",
+        "thunder",
+        "toilet flushing",
+        "tornado roaring",
+        "tractor digging",
+        "train horning",
+        "train wheels squealing",
+        "train whistling",
+        "turkey gobbling",
+        "typing on computer keyboard",
+        "typing on typewriter",
+        "underwater bubbling",
+        "using sewing machines",
+        "vacuum cleaner cleaning floors",
+        "vehicle horn, car horn, honking",
+        "volcano explosion",
+        "warbler chirping",
+        "waterfall burbling",
+        "whale calling",
+        "wind chime",
+        "wind noise",
+        "wind rustling leaves",
+        "wood thrush calling",
+        "woodpecker pecking tree",
+        "writing on blackboard with chalk",
+        "yodelling",
+        "zebra braying"
+      ],
+      "prototype_description": "official 80-template text prototypes",
+      "registered_dataset": "vggsound",
+      "collection": "vggsound-309",
+      "train_count": 9258,
+      "test_count": 15421,
+      "registered_protocol_sha256": "1e0ca2db010e2ca55c6b47fb035dd4096946771c907c37d0070b9e6f0a5c54bf",
+      "access_review": "source_terms_reviewed_2026-10-29",
+      "release_eligibility": "eligible_with_conditions",
+      "proposed_feature_release_terms": "CC-BY-NC-SA-4.0",
+      "original_distribution_status": "pending_source_license_review",
+      "distribution_status": "released_2026-11-02"
+    },
+    {
+      "path": "classification/imagebind/text_thermal__tartan_category.npz",
+      "task": "classification",
+      "backbone": "imagebind",
+      "relation": "text_thermal__tartan_category",
+      "dataset": "TartanRGBT",
+      "bytes": 15405073,
+      "sha256": "719d06eb14011838a3fbb0c8c336c8b629b47f1c61714557de86540ba7af5665",
+      "arrays": {
+        "a_train": {
+          "shape": [
+            1184,
+            1024
+          ],
+          "dtype": "float32"
+        },
+        "h_a_train": {
+          "shape": [
+            1184,
+            1024
+          ],
+          "dtype": "float32"
+        },
+        "b_train": {
+          "shape": [
+            1184,
+            1024
+          ],
+          "dtype": "float32"
+        },
+        "h_b_train": {
+          "shape": [
+            1184,
+            1024
+          ],
+          "dtype": "float32"
+        },
+        "prototypes": {
+          "shape": [
+            4,
+            1024
+          ],
+          "dtype": "float32"
+        },
+        "queries": {
+          "shape": [
+            436,
+            1024
+          ],
+          "dtype": "float32"
+        },
+        "labels": {
+          "shape": [
+            436
+          ],
+          "dtype": "int64"
+        }
+      },
+      "class_names": [
+        "indoor",
+        "offroad",
+        "outdoor",
+        "urban"
+      ],
+      "prototype_description": "mean normalized training-A feature per class",
+      "registered_dataset": "tartan-rgbt",
+      "collection": "tartan-frames",
+      "train_count": 1184,
+      "test_count": 436,
+      "registered_protocol_sha256": "78b515cfdd9b90335e980146b1f3a75298320f738d26f4b1b847783c141abf7f",
+      "access_review": "source_terms_reviewed_2026-10-29",
+      "release_eligibility": "eligible_with_conditions",
+      "proposed_feature_release_terms": "CC-BY-NC-SA-4.0",
+      "original_distribution_status": "pending_source_license_review",
+      "distribution_status": "released_2026-11-02"
+    },
+    {
+      "path": "classification/imagebind/audio_depth__batvision.npz",
+      "task": "classification",
+      "backbone": "imagebind",
+      "relation": "audio_depth__batvision",
+      "dataset": "BatVision",
+      "bytes": 40551600,
+      "sha256": "1d5db2eac6743b1d3bc5d1722d51c28592a2acfb7f9c2b118b8078a7dc734cf7",
+      "arrays": {
+        "a_train": {
+          "shape": [
+            2536,
+            1024
+          ],
+          "dtype": "float32"
+        },
+        "h_a_train": {
+          "shape": [
+            2536,
+            1024
+          ],
+          "dtype": "float32"
+        },
+        "b_train": {
+          "shape": [
+            2536,
+            1024
+          ],
+          "dtype": "float32"
+        },
+        "h_b_train": {
+          "shape": [
+            2536,
+            1024
+          ],
+          "dtype": "float32"
+        },
+        "prototypes": {
+          "shape": [
+            7,
+            1024
+          ],
+          "dtype": "float32"
+        },
+        "queries": {
+          "shape": [
+            584,
+            1024
+          ],
+          "dtype": "float32"
+        },
+        "labels": {
+          "shape": [
+            584
+          ],
+          "dtype": "int64"
+        }
+      },
+      "class_names": [
+        "2ndFloorLuxembourg",
+        "3rd_Floor_Luxembourg",
+        "Attic",
+        "Outdoor_Cobblestone_Path",
+        "Salle_Chevalier",
+        "Salle_des_Colonnes",
+        "V119_Cake_Corridors"
+      ],
+      "prototype_description": "mean normalized training-A feature per class",
+      "registered_dataset": "batvision",
+      "collection": "batvision",
+      "train_count": 2536,
+      "test_count": 584,
+      "registered_protocol_sha256": "4fdb7b985f2b99520acd50796c5e01cf117bbf7e59e1d6f795d95f628d52cdfc",
+      "access_review": "source_terms_reviewed_2026-11-02",
+      "proposed_feature_release_terms": "CC-BY-SA-4.0",
+      "distribution_status": "released_2026-11-02"
+    },
+    {
+      "path": "classification/imagebind/depth_imu__utd.npz",
+      "task": "classification",
+      "backbone": "imagebind",
+      "relation": "depth_imu__utd",
+      "dataset": "UTD-MHAD",
+      "bytes": 8331610,
+      "sha256": "f4c4274d5eb2d160cd3c8918b3e0b774c486fd7cfee031f71fcc8ed0d052820a",
+      "arrays": {
+        "a_train": {
+          "shape": [
+            431,
+            1024
+          ],
+          "dtype": "float32"
+        },
+        "h_a_train": {
+          "shape": [
+            431,
+            1024
+          ],
+          "dtype": "float32"
+        },
+        "b_train": {
+          "shape": [
+            431,
+            1024
+          ],
+          "dtype": "float32"
+        },
+        "h_b_train": {
+          "shape": [
+            431,
+            1024
+          ],
+          "dtype": "float32"
+        },
+        "prototypes": {
+          "shape": [
+            27,
+            1024
+          ],
+          "dtype": "float32"
+        },
+        "queries": {
+          "shape": [
+            430,
+            1024
+          ],
+          "dtype": "float32"
+        },
+        "labels": {
+          "shape": [
+            430
+          ],
+          "dtype": "int64"
+        }
+      },
+      "class_names": [
+        "action_1",
+        "action_2",
+        "action_3",
+        "action_4",
+        "action_5",
+        "action_6",
+        "action_7",
+        "action_8",
+        "action_9",
+        "action_10",
+        "action_11",
+        "action_12",
+        "action_13",
+        "action_14",
+        "action_15",
+        "action_16",
+        "action_17",
+        "action_18",
+        "action_19",
+        "action_20",
+        "action_21",
+        "action_22",
+        "action_23",
+        "action_24",
+        "action_25",
+        "action_26",
+        "action_27"
+      ],
+      "prototype_description": "mean normalized training-A feature per class",
+      "registered_dataset": "utd-mhad",
+      "collection": "utd-mhad",
+      "train_count": 431,
+      "test_count": 430,
+      "registered_protocol_sha256": "ec97f857e93d42d8f46d046b3aedde9b1dbc60e5d31012acb63becbafa822dc0",
+      "access_review": "source_terms_reviewed_2026-11-02",
+      "proposed_feature_release_terms": "CC-BY-NC-SA-4.0",
+      "distribution_status": "released_2026-11-02"
+    },
+    {
+      "path": "classification/languagebind/image-depth.npz",
+      "task": "classification",
+      "backbone": "languagebind",
+      "relation": "image-depth",
+      "dataset": "NYUv2",
+      "bytes": 6688659,
+      "sha256": "52f29a4a121e28270b84f37a892394990773ace02206f91f70b9451cfa2567bd",
+      "arrays": {
+        "a_train": {
+          "shape": [
+            795,
+            768
+          ],
+          "dtype": "float32"
+        },
+        "h_a_train": {
+          "shape": [
+            795,
+            768
+          ],
+          "dtype": "float32"
+        },
+        "b_train": {
+          "shape": [
+            795,
+            768
+          ],
+          "dtype": "float32"
+        },
+        "h_b_train": {
+          "shape": [
+            795,
+            768
+          ],
+          "dtype": "float32"
+        },
+        "prototypes": {
+          "shape": [
+            10,
+            768
+          ],
+          "dtype": "float32"
+        },
+        "queries": {
+          "shape": [
+            654,
+            768
+          ],
+          "dtype": "float32"
+        },
+        "labels": {
+          "shape": [
+            654
+          ],
+          "dtype": "int64"
+        }
+      },
+      "class_names": [
+        "bathroom",
+        "bedroom",
+        "bookstore",
+        "classroom",
+        "dining room",
+        "home office",
+        "kitchen",
+        "living room",
+        "office",
+        "others"
+      ],
+      "prototype_description": "mean training vision embedding per class",
+      "registered_dataset": "nyuv2",
+      "collection": "nyuv2-official",
+      "train_count": 795,
+      "test_count": 654,
+      "registered_protocol_sha256": "529baa6214cbc1066fe185b559b5a4b75963091ee4147ed125f01a3a36bbb658",
+      "access_review": "source_terms_reviewed_2026-11-02",
+      "proposed_feature_release_terms": "CC-BY-NC-4.0",
+      "distribution_status": "released_2026-11-02"
+    },
+    {
+      "path": "classification/languagebind/video-thermal.npz",
+      "task": "classification",
+      "backbone": "languagebind",
+      "relation": "video-thermal",
+      "dataset": "TartanRGBT",
+      "bytes": 8289637,
+      "sha256": "3dc9afdd6fbb439181f08122f343aaad00ad561f00215866c2dc8949012596e7",
+      "arrays": {
+        "a_train": {
+          "shape": [
+            1184,
+            768
+          ],
+          "dtype": "float32"
+        },
+        "h_a_train": {
+          "shape": [
+            1184,
+            768
+          ],
+          "dtype": "float32"
+        },
+        "b_train": {
+          "shape": [
+            1184,
+            768
+          ],
+          "dtype": "float32"
+        },
+        "h_b_train": {
+          "shape": [
+            1184,
+            768
+          ],
+          "dtype": "float32"
+        },
+        "prototypes": {
+          "shape": [
+            4,
+            768
+          ],
+          "dtype": "float32"
+        },
+        "queries": {
+          "shape": [
+            436,
+            768
+          ],
+          "dtype": "float32"
+        },
+        "labels": {
+          "shape": [
+            436
+          ],
+          "dtype": "int64"
+        }
+      },
+      "class_names": [
+        "indoor",
+        "offroad",
+        "outdoor",
+        "urban"
+      ],
+      "prototype_description": "mean normalized training-A feature per class",
+      "registered_dataset": "tartan-rgbt",
+      "collection": "tartan-clips",
+      "train_count": 1184,
+      "test_count": 436,
+      "registered_protocol_sha256": "1a60c87d3b4bf159c67b5f1430cb63f18191296292dae798dfca7befd8b518f1",
+      "access_review": "source_terms_reviewed_2026-10-29",
+      "release_eligibility": "eligible_with_conditions",
+      "proposed_feature_release_terms": "BSD-3-Clause-Clear",
+      "original_distribution_status": "pending_source_license_review",
+      "distribution_status": "released_2026-11-02"
+    },
+    {
+      "path": "classification/languagebind/video-depth.npz",
+      "task": "classification",
+      "backbone": "languagebind",
+      "relation": "video-depth",
+      "dataset": "TartanRGBT",
+      "bytes": 8286574,
+      "sha256": "dae4dd151a227872188681153098e1493e47f4d5105827206577fe183efee683",
+      "arrays": {
+        "a_train": {
+          "shape": [
+            1184,
+            768
+          ],
+          "dtype": "float32"
+        },
+        "h_a_train": {
+          "shape": [
+            1184,
+            768
+          ],
+          "dtype": "float32"
+        },
+        "b_train": {
+          "shape": [
+            1184,
+            768
+          ],
+          "dtype": "float32"
+        },
+        "h_b_train": {
+          "shape": [
+            1184,
+            768
+          ],
+          "dtype": "float32"
+        },
+        "prototypes": {
+          "shape": [
+            4,
+            768
+          ],
+          "dtype": "float32"
+        },
+        "queries": {
+          "shape": [
+            436,
+            768
+          ],
+          "dtype": "float32"
+        },
+        "labels": {
+          "shape": [
+            436
+          ],
+          "dtype": "int64"
+        }
+      },
+      "class_names": [
+        "indoor",
+        "offroad",
+        "outdoor",
+        "urban"
+      ],
+      "prototype_description": "mean normalized training-A feature per class",
+      "registered_dataset": "tartan-rgbt",
+      "collection": "tartan-clips",
+      "train_count": 1184,
+      "test_count": 436,
+      "registered_protocol_sha256": "d90d921e29f91749ba27e358391f3317fe9d38a6be5979c510afcd910f953eb0",
+      "access_review": "source_terms_reviewed_2026-10-29",
+      "release_eligibility": "eligible_with_conditions",
+      "proposed_feature_release_terms": "BSD-3-Clause-Clear",
+      "original_distribution_status": "pending_source_license_review",
+      "distribution_status": "released_2026-11-02"
+    },
+    {
+      "path": "classification/languagebind/video-audio.npz",
+      "task": "classification",
+      "backbone": "languagebind",
+      "relation": "video-audio",
+      "dataset": "MSR-VTT",
+      "bytes": 73281642,
+      "sha256": "d2bf3761a2c6465d456c8f4e9e2ad38766a6345e2e44dc6ea13328e6fc2ae9f8",
+      "arrays": {
+        "a_train": {
+          "shape": [
+            6176,
+            768
+          ],
+          "dtype": "float32"
+        },
+        "h_a_train": {
+          "shape": [
+            6176,
+            768
+          ],
+          "dtype": "float32"
+        },
+        "b_train": {
+          "shape": [
+            6176,
+            768
+          ],
+          "dtype": "float32"
+        },
+        "h_b_train": {
+          "shape": [
+            6176,
+            768
+          ],
+          "dtype": "float32"
+        },
+        "prototypes": {
+          "shape": [
+            20,
+            768
+          ],
+          "dtype": "float32"
+        },
+        "queries": {
+          "shape": [
+            884,
+            768
+          ],
+          "dtype": "float32"
+        },
+        "labels": {
+          "shape": [
+            884
+          ],
+          "dtype": "int64"
+        }
+      },
+      "class_names": [
+        "category_0",
+        "category_1",
+        "category_2",
+        "category_3",
+        "category_4",
+        "category_5",
+        "category_6",
+        "category_7",
+        "category_8",
+        "category_9",
+        "category_10",
+        "category_11",
+        "category_12",
+        "category_13",
+        "category_14",
+        "category_15",
+        "category_16",
+        "category_17",
+        "category_18",
+        "category_19"
+      ],
+      "prototype_description": "mean normalized training-A feature per class",
+      "registered_dataset": "msrvtt",
+      "collection": "msrvtt",
+      "train_count": 6176,
+      "test_count": 884,
+      "registered_protocol_sha256": "b85504e17ffcc86806e795c9ce9c0bbbdc609628316db59e11ee09406b8e186c",
+      "access_review": "source_terms_reviewed_2026-11-02",
+      "proposed_feature_release_terms": "CC-BY-NC-4.0",
+      "distribution_status": "released_2026-11-02"
+    },
+    {
+      "path": "classification/languagebind/thermal-depth.npz",
+      "task": "classification",
+      "backbone": "languagebind",
+      "relation": "thermal-depth",
+      "dataset": "TartanRGBT",
+      "bytes": 8287383,
+      "sha256": "0a1f694b27fdbf11c8570acbcd435eeb089ae071a713708071278d7844546ab0",
+      "arrays": {
+        "a_train": {
+          "shape": [
+            1184,
+            768
+          ],
+          "dtype": "float32"
+        },
+        "h_a_train": {
+          "shape": [
+            1184,
+            768
+          ],
+          "dtype": "float32"
+        },
+        "b_train": {
+          "shape": [
+            1184,
+            768
+          ],
+          "dtype": "float32"
+        },
+        "h_b_train": {
+          "shape": [
+            1184,
+            768
+          ],
+          "dtype": "float32"
+        },
+        "prototypes": {
+          "shape": [
+            4,
+            768
+          ],
+          "dtype": "float32"
+        },
+        "queries": {
+          "shape": [
+            436,
+            768
+          ],
+          "dtype": "float32"
+        },
+        "labels": {
+          "shape": [
+            436
+          ],
+          "dtype": "int64"
+        }
+      },
+      "class_names": [
+        "indoor",
+        "offroad",
+        "outdoor",
+        "urban"
+      ],
+      "prototype_description": "mean normalized training-A feature per class",
+      "registered_dataset": "tartan-rgbt",
+      "collection": "tartan-clips",
+      "train_count": 1184,
+      "test_count": 436,
+      "registered_protocol_sha256": "7398e60dc229f8cace02cc699ec5950199dea55c95671a87b2977852375fbd4d",
+      "access_review": "source_terms_reviewed_2026-10-29",
+      "release_eligibility": "eligible_with_conditions",
+      "proposed_feature_release_terms": "BSD-3-Clause-Clear",
+      "original_distribution_status": "pending_source_license_review",
+      "distribution_status": "released_2026-11-02"
+    }
+  ]
+}

protocols/nyuv2-official.json

@@ -0,0 +1 @@
+{"dataset":"nyuv2","records":[{"id":"3","label":8},{"id":"4","label":8},{"id":"5","label":8},{"id":"6","label":8},{"id":"7","label":8},{"id":"8","label":8},{"id":"10","label":8},{"id":"11","label":8},{"id":"12","label":8},{"id":"13","label":8},{"id":"19","label":8},{"id":"20","label":8},{"id":"22","label":8},{"id":"23","label":8},{"id":"24","label":8},{"id":"25","label":8},{"id":"26","label":8},{"id":"27","label":8},{"id":"44","label":0},{"id":"45","label":0},{"id":"48","label":0},{"id":"49","label":0},{"id":"50","label":7},{"id":"51","label":7},{"id":"52","label":7},{"id":"53","label":7},{"id":"54","label":7},{"id":"55","label":7},{"id":"58","label":1},{"id":"64","label":1},{"id":"65","label":1},{"id":"66","label":1},{"id":"67","label":1},{"id":"68","label":1},{"id":"69","label":1},{"id":"70","label":1},{"id":"71","label":1},{"id":"72","label":1},{"id":"73","label":1},{"id":"74","label":1},{"id":"75","label":1},{"id":"80","label":1},{"id":"81","label":1},{"id":"82","label":1},{"id":"83","label":1},{"id":"92","label":2},{"id":"93","label":2},{"id":"94","label":2},{"id":"95","label":2},{"id":"96","label":2},{"id":"97","label":2},{"id":"98","label":2},{"id":"99","label":2},{"id":"100","label":2},{"id":"101","label":2},{"id":"102","label":2},{"id":"103","label":2},{"id":"104","label":2},{"id":"105","label":2},{"id":"106","label":2},{"id":"107","label":2},{"id":"108","label":2},{"id":"109","label":2},{"id":"110","label":2},{"id":"111","label":2},{"id":"112","label":2},{"id":"113","label":2},{"id":"114","label":2},{"id":"115","label":2},{"id":"116","label":2},{"id":"120","label":9},{"id":"121","label":9},{"id":"122","label":9},{"id":"123","label":9},{"id":"124","label":9},{"id":"130","label":6},{"id":"135","label":6},{"id":"136","label":6},{"id":"138","label":6},{"id":"139","label":6},{"id":"140","label":6},{"id":"141","label":6},{"id":"142","label":6},{"id":"143","label":6},{"id":"144","label":6},{"id":"145","label":6},{"id":"146","label":7},{"id":"147","label":7},{"id":"148","label":7},{"id":"149","label":7},{"id":"150","label":7},{"id":"151","label":7},{"id":"152","label":7},{"id":"156","label":7},{"id":"157","label":7},{"id":"158","label":7},{"id":"159","label":7},{"id":"160","label":7},{"id":"161","label":7},{"id":"162","label":7},{"id":"163","label":7},{"id":"164","label":7},{"id":"165","label":7},{"id":"166","label":7},{"id":"170","label":0},{"id":"177","label":1},{"id":"178","label":1},{"id":"179","label":1},{"id":"203","label":6},{"id":"204","label":6},{"id":"205","label":6},{"id":"206","label":6},{"id":"213","label":8},{"id":"214","label":8},{"id":"215","label":8},{"id":"216","label":8},{"id":"217","label":1},{"id":"218","label":1},{"id":"219","label":1},{"id":"223","label":9},{"id":"224","label":9},{"id":"225","label":9},{"id":"226","label":9},{"id":"227","label":9},{"id":"228","label":9},{"id":"229","label":9},{"id":"230","label":9},{"id":"231","label":9},{"id":"232","label":9},{"id":"233","label":9},{"id":"234","label":9},{"id":"235","label":9},{"id":"236","label":9},{"id":"237","label":9},{"id":"238","label":9},{"id":"239","label":9},{"id":"240","label":9},{"id":"241","label":9},{"id":"242","label":9},{"id":"243","label":9},{"id":"244","label":9},{"id":"245","label":9},{"id":"246","label":9},{"id":"247","label":9},{"id":"248","label":9},{"id":"249","label":9},{"id":"251","label":6},{"id":"252","label":6},{"id":"253","label":6},{"id":"254","label":6},{"id":"255","label":7},{"id":"256","label":7},{"id":"257","label":7},{"id":"258","label":7},{"id":"259","label":7},{"id":"260","label":7},{"id":"261","label":7},{"id":"262","label":7},{"id":"263","label":7},{"id":"265","label":7},{"id":"266","label":7},{"id":"267","label":7},{"id":"268","label":7},{"id":"269","label":7},{"id":"270","label":7},{"id":"274","label":9},{"id":"275","label":9},{"id":"276","label":9},{"id":"277","label":9},{"id":"278","label":9},{"id":"286","label":3},{"id":"287","label":3},{"id":"288","label":3},{"id":"289","label":3},{"id":"290","label":3},{"id":"291","label":3},{"id":"292","label":3},{"id":"293","label":3},{"id":"294","label":3},{"id":"295","label":3},{"id":"303","label":3},{"id":"304","label":3},{"id":"305","label":3},{"id":"306","label":3},{"id":"307","label":3},{"id":"308","label":3},{"id":"309","label":3},{"id":"313","label":3},{"id":"314","label":3},{"id":"318","label":3},{"id":"319","label":3},{"id":"320","label":3},{"id":"321","label":3},{"id":"322","label":3},{"id":"323","label":3},{"id":"324","label":3},{"id":"336","label":9},{"id":"337","label":9},{"id":"338","label":9},{"id":"339","label":9},{"id":"340","label":9},{"id":"341","label":9},{"id":"342","label":9},{"id":"343","label":9},{"id":"344","label":9},{"id":"345","label":9},{"id":"346","label":9},{"id":"347","label":9},{"id":"348","label":9},{"id":"349","label":9},{"id":"350","label":9},{"id":"353","label":9},{"id":"354","label":9},{"id":"365","label":5},{"id":"366","label":5},{"id":"367","label":5},{"id":"368","label":5},{"id":"369","label":5},{"id":"370","label":5},{"id":"371","label":5},{"id":"372","label":5},{"id":"373","label":5},{"id":"374","label":5},{"id":"375","label":5},{"id":"376","label":5},{"id":"377","label":5},{"id":"378","label":5},{"id":"379","label":5},{"id":"380","label":5},{"id":"381","label":5},{"id":"382","label":5},{"id":"383","label":5},{"id":"391","label":5},{"id":"392","label":5},{"id":"393","label":5},{"id":"394","label":5},{"id":"398","label":9},{"id":"399","label":9},{"id":"400","label":9},{"id":"401","label":9},{"id":"402","label":9},{"id":"403","label":9},{"id":"404","label":9},{"id":"405","label":9},{"id":"406","label":9},{"id":"407","label":9},{"id":"408","label":9},{"id":"409","label":9},{"id":"410","label":9},{"id":"415","label":9},{"id":"416","label":9},{"id":"417","label":9},{"id":"418","label":9},{"id":"419","label":9},{"id":"420","label":9},{"id":"421","label":9},{"id":"422","label":9},{"id":"423","label":9},{"id":"424","label":9},{"id":"425","label":9},{"id":"426","label":9},{"id":"427","label":9},{"id":"428","label":9},{"id":"429","label":9},{"id":"436","label":9},{"id":"437","label":9},{"id":"438","label":9},{"id":"439","label":9},{"id":"440","label":9},{"id":"449","label":9},{"id":"450","label":9},{"id":"451","label":9},{"id":"452","label":9},{"id":"453","label":9},{"id":"454","label":9},{"id":"455","label":9},{"id":"456","label":9},{"id":"457","label":9},{"id":"458","label":9},{"id":"459","label":9},{"id":"460","label":9},{"id":"461","label":9},{"id":"467","label":9},{"id":"468","label":9},{"id":"478","label":9},{"id":"479","label":9},{"id":"480","label":9},{"id":"481","label":9},{"id":"482","label":9},{"id":"483","label":9},{"id":"484","label":9},{"id":"485","label":9},{"id":"486","label":9},{"id":"487","label":9},{"id":"488","label":9},{"id":"489","label":9},{"id":"490","label":9},{"id":"491","label":9},{"id":"492","label":9},{"id":"493","label":9},{"id":"494","label":9},{"id":"495","label":9},{"id":"496","label":9},{"id":"497","label":0},{"id":"498","label":0},{"id":"499","label":0},{"id":"500","label":0},{"id":"501","label":0},{"id":"502","label":0},{"id":"503","label":0},{"id":"504","label":0},{"id":"505","label":0},{"id":"506","label":0},{"id":"507","label":0},{"id":"514","label":1},{"id":"527","label":1},{"id":"528","label":1},{"id":"529","label":1},{"id":"530","label":1},{"id":"534","label":1},{"id":"535","label":1},{"id":"536","label":1},{"id":"540","label":1},{"id":"541","label":1},{"id":"542","label":1},{"id":"543","label":1},{"id":"544","label":4},{"id":"545","label":4},{"id":"546","label":4},{"id":"547","label":4},{"id":"548","label":4},{"id":"552","label":5},{"id":"553","label":5},{"id":"554","label":5},{"id":"572","label":6},{"id":"573","label":6},{"id":"574","label":6},{"id":"575","label":6},{"id":"576","label":6},{"id":"577","label":6},{"id":"578","label":6},{"id":"584","label":7},{"id":"585","label":7},{"id":"586","label":7},{"id":"587","label":7},{"id":"588","label":7},{"id":"589","label":7},{"id":"590","label":7},{"id":"595","label":7},{"id":"596","label":7},{"id":"597","label":7},{"id":"598","label":7},{"id":"599","label":7},{"id":"600","label":7},{"id":"601","label":7},{"id":"602","label":7},{"id":"608","label":8},{"id":"609","label":8},{"id":"610","label":8},{"id":"611","label":8},{"id":"614","label":8},{"id":"615","label":8},{"id":"616","label":8},{"id":"622","label":8},{"id":"623","label":8},{"id":"624","label":8},{"id":"625","label":8},{"id":"626","label":8},{"id":"627","label":8},{"id":"628","label":8},{"id":"629","label":8},{"id":"630","label":8},{"id":"631","label":8},{"id":"632","label":8},{"id":"639","label":9},{"id":"640","label":9},{"id":"641","label":9},{"id":"642","label":9},{"id":"643","label":9},{"id":"646","label":9},{"id":"647","label":9},{"id":"648","label":0},{"id":"649","label":0},{"id":"652","label":0},{"id":"653","label":0},{"id":"654","label":0},{"id":"655","label":0},{"id":"659","label":0},{"id":"660","label":0},{"id":"661","label":0},{"id":"662","label":0},{"id":"665","label":0},{"id":"666","label":0},{"id":"667","label":0},{"id":"674","label":0},{"id":"675","label":0},{"id":"682","label":0},{"id":"683","label":0},{"id":"684","label":0},{"id":"685","label":0},{"id":"691","label":0},{"id":"692","label":0},{"id":"695","label":0},{"id":"696","label":0},{"id":"700","label":0},{"id":"701","label":0},{"id":"702","label":0},{"id":"703","label":0},{"id":"704","label":0},{"id":"705","label":0},{"id":"714","label":0},{"id":"715","label":0},{"id":"716","label":0},{"id":"719","label":0},{"id":"720","label":0},{"id":"721","label":0},{"id":"722","label":0},{"id":"723","label":0},{"id":"729","label":0},{"id":"730","label":0},{"id":"735","label":0},{"id":"736","label":0},{"id":"737","label":0},{"id":"738","label":0},{"id":"739","label":0},{"id":"740","label":0},{"id":"741","label":0},{"id":"742","label":0},{"id":"745","label":6},{"id":"746","label":6},{"id":"747","label":6},{"id":"748","label":6},{"id":"749","label":6},{"id":"750","label":6},{"id":"751","label":6},{"id":"752","label":6},{"id":"753","label":6},{"id":"754","label":6},{"id":"755","label":6},{"id":"756","label":6},{"id":"757","label":6},{"id":"758","label":6},{"id":"788","label":6},{"id":"789","label":6},{"id":"790","label":6},{"id":"791","label":6},{"id":"792","label":6},{"id":"793","label":6},{"id":"794","label":6},{"id":"795","label":6},{"id":"796","label":6},{"id":"797","label":6},{"id":"798","label":6},{"id":"799","label":6},{"id":"805","label":6},{"id":"806","label":6},{"id":"807","label":6},{"id":"808","label":6},{"id":"809","label":6},{"id":"815","label":6},{"id":"816","label":6},{"id":"817","label":6},{"id":"818","label":6},{"id":"819","label":6},{"id":"820","label":6},{"id":"824","label":6},{"id":"825","label":6},{"id":"826","label":6},{"id":"827","label":6},{"id":"828","label":6},{"id":"829","label":6},{"id":"830","label":6},{"id":"831","label":6},{"id":"832","label":6},{"id":"847","label":6},{"id":"848","label":6},{"id":"849","label":6},{"id":"853","label":6},{"id":"854","label":6},{"id":"855","label":6},{"id":"856","label":6},{"id":"863","label":6},{"id":"864","label":6},{"id":"865","label":6},{"id":"866","label":6},{"id":"867","label":6},{"id":"868","label":6},{"id":"872","label":6},{"id":"873","label":6},{"id":"874","label":6},{"id":"875","label":6},{"id":"876","label":6},{"id":"877","label":6},{"id":"878","label":6},{"id":"879","label":6},{"id":"880","label":6},{"id":"881","label":6},{"id":"882","label":6},{"id":"883","label":6},{"id":"884","label":6},{"id":"885","label":6},{"id":"886","label":6},{"id":"887","label":6},{"id":"888","label":6},{"id":"889","label":6},{"id":"890","label":6},{"id":"891","label":6},{"id":"892","label":6},{"id":"893","label":6},{"id":"894","label":6},{"id":"895","label":6},{"id":"896","label":6},{"id":"897","label":6},{"id":"898","label":6},{"id":"899","label":6},{"id":"900","label":6},{"id":"901","label":6},{"id":"902","label":6},{"id":"903","label":6},{"id":"904","label":6},{"id":"905","label":6},{"id":"909","label":1},{"id":"910","label":1},{"id":"911","label":1},{"id":"912","label":1},{"id":"913","label":1},{"id":"914","label":1},{"id":"915","label":1},{"id":"916","label":1},{"id":"920","label":1},{"id":"921","label":1},{"id":"922","label":1},{"id":"923","label":1},{"id":"924","label":1},{"id":"925","label":1},{"id":"929","label":1},{"id":"930","label":1},{"id":"931","label":1},{"id":"936","label":1},{"id":"937","label":1},{"id":"938","label":1},{"id":"939","label":1},{"id":"940","label":1},{"id":"941","label":1},{"id":"942","label":1},{"id":"943","label":1},{"id":"944","label":1},{"id":"948","label":1},{"id":"949","label":1},{"id":"950","label":1},{"id":"951","label":1},{"id":"952","label":1},{"id":"953","label":1},{"id":"954","label":1},{"id":"955","label":1},{"id":"956","label":1},{"id":"957","label":1},{"id":"958","label":1},{"id":"963","label":1},{"id":"964","label":1},{"id":"968","label":1},{"id":"969","label":1},{"id":"978","label":1},{"id":"979","label":1},{"id":"980","label":1},{"id":"981","label":1},{"id":"982","label":1},{"id":"983","label":1},{"id":"984","label":1},{"id":"985","label":1},{"id":"986","label":1},{"id":"987","label":1},{"id":"988","label":1},{"id":"989","label":1},{"id":"990","label":1},{"id":"996","label":1},{"id":"997","label":1},{"id":"998","label":1},{"id":"999","label":1},{"id":"1000","label":1},{"id":"1005","label":1},{"id":"1006","label":1},{"id":"1007","label":1},{"id":"1008","label":1},{"id":"1009","label":1},{"id":"1013","label":1},{"id":"1014","label":1},{"id":"1015","label":1},{"id":"1016","label":1},{"id":"1017","label":1},{"id":"1018","label":1},{"id":"1019","label":1},{"id":"1020","label":1},{"id":"1024","label":1},{"id":"1025","label":1},{"id":"1026","label":1},{"id":"1027","label":1},{"id":"1028","label":1},{"id":"1029","label":1},{"id":"1030","label":1},{"id":"1031","label":1},{"id":"1035","label":1},{"id":"1036","label":1},{"id":"1037","label":1},{"id":"1040","label":1},{"id":"1041","label":1},{"id":"1042","label":1},{"id":"1043","label":1},{"id":"1044","label":1},{"id":"1045","label":1},{"id":"1046","label":1},{"id":"1047","label":1},{"id":"1050","label":1},{"id":"1051","label":1},{"id":"1054","label":1},{"id":"1055","label":1},{"id":"1056","label":1},{"id":"1059","label":1},{"id":"1060","label":1},{"id":"1061","label":1},{"id":"1062","label":1},{"id":"1063","label":1},{"id":"1064","label":1},{"id":"1065","label":1},{"id":"1066","label":1},{"id":"1067","label":1},{"id":"1068","label":1},{"id":"1069","label":1},{"id":"1070","label":1},{"id":"1071","label":1},{"id":"1072","label":1},{"id":"1073","label":1},{"id":"1074","label":1},{"id":"1085","label":1},{"id":"1086","label":1},{"id":"1087","label":1},{"id":"1097","label":1},{"id":"1105","label":1},{"id":"1110","label":1},{"id":"1111","label":1},{"id":"1112","label":1},{"id":"1113","label":1},{"id":"1114","label":1},{"id":"1115","label":1},{"id":"1116","label":1},{"id":"1120","label":1},{"id":"1121","label":1},{"id":"1122","label":1},{"id":"1132","label":1},{"id":"1133","label":1},{"id":"1134","label":1},{"id":"1137","label":1},{"id":"1138","label":1},{"id":"1139","label":1},{"id":"1140","label":1},{"id":"1141","label":1},{"id":"1142","label":1},{"id":"1143","label":1},{"id":"1159","label":1},{"id":"1160","label":1},{"id":"1161","label":1},{"id":"1168","label":1},{"id":"1169","label":1},{"id":"1172","label":1},{"id":"1173","label":1},{"id":"1177","label":1},{"id":"1178","label":1},{"id":"1185","label":1},{"id":"1186","label":1},{"id":"1187","label":1},{"id":"1188","label":1},{"id":"1189","label":1},{"id":"1190","label":1},{"id":"1191","label":1},{"id":"1197","label":1},{"id":"1198","label":1},{"id":"1199","label":1},{"id":"1200","label":1},{"id":"1213","label":7},{"id":"1214","label":7},{"id":"1215","label":7},{"id":"1221","label":7},{"id":"1222","label":7},{"id":"1223","label":7},{"id":"1224","label":7},{"id":"1225","label":7},{"id":"1231","label":7},{"id":"1232","label":7},{"id":"1236","label":7},{"id":"1237","label":7},{"id":"1238","label":7},{"id":"1239","label":7},{"id":"1240","label":7},{"id":"1241","label":7},{"id":"1242","label":7},{"id":"1243","label":7},{"id":"1244","label":7},{"id":"1245","label":7},{"id":"1246","label":7},{"id":"1251","label":7},{"id":"1252","label":7},{"id":"1253","label":7},{"id":"1266","label":7},{"id":"1267","label":7},{"id":"1268","label":7},{"id":"1269","label":7},{"id":"1270","label":7},{"id":"1271","label":7},{"id":"1272","label":7},{"id":"1273","label":7},{"id":"1274","label":7},{"id":"1281","label":7},{"id":"1282","label":7},{"id":"1283","label":7},{"id":"1284","label":7},{"id":"1296","label":7},{"id":"1300","label":7},{"id":"1301","label":7},{"id":"1309","label":7},{"id":"1310","label":7},{"id":"1311","label":7},{"id":"1312","label":7},{"id":"1313","label":7},{"id":"1316","label":7},{"id":"1317","label":7},{"id":"1318","label":7},{"id":"1319","label":7},{"id":"1320","label":7},{"id":"1321","label":7},{"id":"1322","label":7},{"id":"1323","label":7},{"id":"1324","label":7},{"id":"1325","label":7},{"id":"1326","label":7},{"id":"1327","label":7},{"id":"1328","label":7},{"id":"1333","label":7},{"id":"1334","label":7},{"id":"1341","label":4},{"id":"1342","label":4},{"id":"1343","label":4},{"id":"1344","label":4},{"id":"1345","label":4},{"id":"1346","label":4},{"id":"1350","label":4},{"id":"1351","label":4},{"id":"1352","label":4},{"id":"1357","label":4},{"id":"1358","label":4},{"id":"1359","label":4},{"id":"1360","label":4},{"id":"1361","label":4},{"id":"1362","label":4},{"id":"1363","label":4},{"id":"1366","label":4},{"id":"1367","label":4},{"id":"1370","label":4},{"id":"1371","label":4},{"id":"1372","label":4},{"id":"1373","label":4},{"id":"1374","label":4},{"id":"1375","label":4},{"id":"1376","label":4},{"id":"1377","label":4},{"id":"1378","label":4},{"id":"1379","label":4},{"id":"1380","label":4},{"id":"1381","label":4},{"id":"1382","label":4},{"id":"1383","label":4},{"id":"1392","label":4},{"id":"1393","label":4},{"id":"1402","label":4},{"id":"1403","label":4},{"id":"1404","label":4},{"id":"1405","label":4},{"id":"1406","label":4},{"id":"1415","label":4},{"id":"1416","label":4},{"id":"1417","label":4},{"id":"1418","label":4},{"id":"1419","label":4},{"id":"1420","label":4},{"id":"1425","label":4},{"id":"1426","label":4},{"id":"1427","label":4},{"id":"1428","label":4},{"id":"1429","label":4},{"id":"1434","label":4},{"id":"1435","label":4},{"id":"1436","label":4},{"id":"1437","label":4},{"id":"1438","label":4},{"id":"1439","label":4},{"id":"1440","label":4},{"id":"1","label":6},{"id":"2","label":6},{"id":"9","label":8},{"id":"14","label":8},{"id":"15","label":8},{"id":"16","label":8},{"id":"17","label":8},{"id":"18","label":8},{"id":"21","label":8},{"id":"28","label":8},{"id":"29","label":8},{"id":"30","label":8},{"id":"31","label":8},{"id":"32","label":8},{"id":"33","label":8},{"id":"34","label":8},{"id":"35","label":8},{"id":"36","label":8},{"id":"37","label":8},{"id":"38","label":8},{"id":"39","label":8},{"id":"40","label":8},{"id":"41","label":8},{"id":"42","label":8},{"id":"43","label":8},{"id":"46","label":0},{"id":"47","label":0},{"id":"56","label":1},{"id":"57","label":1},{"id":"59","label":1},{"id":"60","label":1},{"id":"61","label":1},{"id":"62","label":1},{"id":"63","label":1},{"id":"76","label":1},{"id":"77","label":1},{"id":"78","label":1},{"id":"79","label":1},{"id":"84","label":2},{"id":"85","label":2},{"id":"86","label":2},{"id":"87","label":2},{"id":"88","label":2},{"id":"89","label":2},{"id":"90","label":2},{"id":"91","label":2},{"id":"117","label":2},{"id":"118","label":2},{"id":"119","label":2},{"id":"125","label":6},{"id":"126","label":6},{"id":"127","label":6},{"id":"128","label":6},{"id":"129","label":6},{"id":"131","label":6},{"id":"132","label":6},{"id":"133","label":6},{"id":"134","label":6},{"id":"137","label":6},{"id":"153","label":7},{"id":"154","label":7},{"id":"155","label":7},{"id":"167","label":7},{"id":"168","label":7},{"id":"169","label":7},{"id":"171","label":1},{"id":"172","label":1},{"id":"173","label":1},{"id":"174","label":1},{"id":"175","label":1},{"id":"176","label":1},{"id":"180","label":1},{"id":"181","label":1},{"id":"182","label":1},{"id":"183","label":1},{"id":"184","label":1},{"id":"185","label":1},{"id":"186","label":1},{"id":"187","label":1},{"id":"188","label":1},{"id":"189","label":1},{"id":"190","label":1},{"id":"191","label":1},{"id":"192","label":1},{"id":"193","label":1},{"id":"194","label":6},{"id":"195","label":6},{"id":"196","label":6},{"id":"197","label":6},{"id":"198","label":6},{"id":"199","label":6},{"id":"200","label":6},{"id":"201","label":6},{"id":"202","label":6},{"id":"207","label":7},{"id":"208","label":7},{"id":"209","label":7},{"id":"210","label":7},{"id":"211","label":7},{"id":"212","label":7},{"id":"220","label":1},{"id":"221","label":1},{"id":"222","label":1},{"id":"250","label":6},{"id":"264","label":7},{"id":"271","label":8},{"id":"272","label":8},{"id":"273","label":9},{"id":"279","label":9},{"id":"280","label":1},{"id":"281","label":1},{"id":"282","label":1},{"id":"283","label":1},{"id":"284","label":3},{"id":"285","label":3},{"id":"296","label":3},{"id":"297","label":3},{"id":"298","label":3},{"id":"299","label":3},{"id":"300","label":3},{"id":"301","label":3},{"id":"302","label":3},{"id":"310","label":3},{"id":"311","label":3},{"id":"312","label":3},{"id":"315","label":3},{"id":"316","label":3},{"id":"317","label":3},{"id":"325","label":3},{"id":"326","label":3},{"id":"327","label":3},{"id":"328","label":3},{"id":"329","label":3},{"id":"330","label":3},{"id":"331","label":3},{"id":"332","label":3},{"id":"333","label":9},{"id":"334","label":9},{"id":"335","label":9},{"id":"351","label":9},{"id":"352","label":9},{"id":"355","label":5},{"id":"356","label":5},{"id":"357","label":5},{"id":"358","label":5},{"id":"359","label":5},{"id":"360","label":5},{"id":"361","label":5},{"id":"362","label":5},{"id":"363","label":5},{"id":"364","label":5},{"id":"384","label":5},{"id":"385","label":5},{"id":"386","label":5},{"id":"387","label":5},{"id":"388","label":5},{"id":"389","label":5},{"id":"390","label":5},{"id":"395","label":5},{"id":"396","label":5},{"id":"397","label":5},{"id":"411","label":9},{"id":"412","label":9},{"id":"413","label":9},{"id":"414","label":9},{"id":"430","label":9},{"id":"431","label":9},{"id":"432","label":9},{"id":"433","label":9},{"id":"434","label":9},{"id":"435","label":9},{"id":"441","label":9},{"id":"442","label":9},{"id":"443","label":9},{"id":"444","label":9},{"id":"445","label":9},{"id":"446","label":9},{"id":"447","label":9},{"id":"448","label":9},{"id":"462","label":9},{"id":"463","label":9},{"id":"464","label":9},{"id":"465","label":9},{"id":"466","label":9},{"id":"469","label":9},{"id":"470","label":9},{"id":"471","label":9},{"id":"472","label":9},{"id":"473","label":9},{"id":"474","label":9},{"id":"475","label":9},{"id":"476","label":9},{"id":"477","label":9},{"id":"508","label":0},{"id":"509","label":0},{"id":"510","label":0},{"id":"511","label":0},{"id":"512","label":0},{"id":"513","label":0},{"id":"515","label":1},{"id":"516","label":1},{"id":"517","label":1},{"id":"518","label":1},{"id":"519","label":1},{"id":"520","label":1},{"id":"521","label":1},{"id":"522","label":1},{"id":"523","label":1},{"id":"524","label":1},{"id":"525","label":1},{"id":"526","label":1},{"id":"531","label":1},{"id":"532","label":1},{"id":"533","label":1},{"id":"537","label":1},{"id":"538","label":1},{"id":"539","label":1},{"id":"549","label":4},{"id":"550","label":4},{"id":"551","label":4},{"id":"555","label":5},{"id":"556","label":5},{"id":"557","label":5},{"id":"558","label":5},{"id":"559","label":6},{"id":"560","label":6},{"id":"561","label":6},{"id":"562","label":6},{"id":"563","label":6},{"id":"564","label":6},{"id":"565","label":6},{"id":"566","label":6},{"id":"567","label":6},{"id":"568","label":6},{"id":"569","label":6},{"id":"570","label":6},{"id":"571","label":6},{"id":"579","label":7},{"id":"580","label":7},{"id":"581","label":7},{"id":"582","label":7},{"id":"583","label":7},{"id":"591","label":7},{"id":"592","label":7},{"id":"593","label":7},{"id":"594","label":7},{"id":"603","label":7},{"id":"604","label":7},{"id":"605","label":7},{"id":"606","label":7},{"id":"607","label":7},{"id":"612","label":8},{"id":"613","label":8},{"id":"617","label":8},{"id":"618","label":8},{"id":"619","label":8},{"id":"620","label":8},{"id":"621","label":8},{"id":"633","label":8},{"id":"634","label":8},{"id":"635","label":8},{"id":"636","label":8},{"id":"637","label":8},{"id":"638","label":8},{"id":"644","label":9},{"id":"645","label":9},{"id":"650","label":0},{"id":"651","label":0},{"id":"656","label":0},{"id":"657","label":0},{"id":"658","label":0},{"id":"663","label":0},{"id":"664","label":0},{"id":"668","label":0},{"id":"669","label":0},{"id":"670","label":0},{"id":"671","label":0},{"id":"672","label":0},{"id":"673","label":0},{"id":"676","label":0},{"id":"677","label":0},{"id":"678","label":0},{"id":"679","label":0},{"id":"680","label":0},{"id":"681","label":0},{"id":"686","label":0},{"id":"687","label":0},{"id":"688","label":0},{"id":"689","label":0},{"id":"690","label":0},{"id":"693","label":0},{"id":"694","label":0},{"id":"697","label":0},{"id":"698","label":0},{"id":"699","label":0},{"id":"706","label":0},{"id":"707","label":0},{"id":"708","label":0},{"id":"709","label":0},{"id":"710","label":0},{"id":"711","label":0},{"id":"712","label":0},{"id":"713","label":0},{"id":"717","label":0},{"id":"718","label":0},{"id":"724","label":0},{"id":"725","label":0},{"id":"726","label":0},{"id":"727","label":0},{"id":"728","label":0},{"id":"731","label":0},{"id":"732","label":0},{"id":"733","label":0},{"id":"734","label":0},{"id":"743","label":0},{"id":"744","label":0},{"id":"759","label":6},{"id":"760","label":6},{"id":"761","label":6},{"id":"762","label":6},{"id":"763","label":6},{"id":"764","label":6},{"id":"765","label":6},{"id":"766","label":6},{"id":"767","label":6},{"id":"768","label":6},{"id":"769","label":6},{"id":"770","label":6},{"id":"771","label":6},{"id":"772","label":6},{"id":"773","label":6},{"id":"774","label":6},{"id":"775","label":6},{"id":"776","label":6},{"id":"777","label":6},{"id":"778","label":6},{"id":"779","label":6},{"id":"780","label":6},{"id":"781","label":6},{"id":"782","label":6},{"id":"783","label":6},{"id":"784","label":6},{"id":"785","label":6},{"id":"786","label":6},{"id":"787","label":6},{"id":"800","label":6},{"id":"801","label":6},{"id":"802","label":6},{"id":"803","label":6},{"id":"804","label":6},{"id":"810","label":6},{"id":"811","label":6},{"id":"812","label":6},{"id":"813","label":6},{"id":"814","label":6},{"id":"821","label":6},{"id":"822","label":6},{"id":"823","label":6},{"id":"833","label":6},{"id":"834","label":6},{"id":"835","label":6},{"id":"836","label":6},{"id":"837","label":6},{"id":"838","label":6},{"id":"839","label":6},{"id":"840","label":6},{"id":"841","label":6},{"id":"842","label":6},{"id":"843","label":6},{"id":"844","label":6},{"id":"845","label":6},{"id":"846","label":6},{"id":"850","label":6},{"id":"851","label":6},{"id":"852","label":6},{"id":"857","label":6},{"id":"858","label":6},{"id":"859","label":6},{"id":"860","label":6},{"id":"861","label":6},{"id":"862","label":6},{"id":"869","label":6},{"id":"870","label":6},{"id":"871","label":6},{"id":"906","label":6},{"id":"907","label":6},{"id":"908","label":6},{"id":"917","label":1},{"id":"918","label":1},{"id":"919","label":1},{"id":"926","label":1},{"id":"927","label":1},{"id":"928","label":1},{"id":"932","label":1},{"id":"933","label":1},{"id":"934","label":1},{"id":"935","label":1},{"id":"945","label":1},{"id":"946","label":1},{"id":"947","label":1},{"id":"959","label":1},{"id":"960","label":1},{"id":"961","label":1},{"id":"962","label":1},{"id":"965","label":1},{"id":"966","label":1},{"id":"967","label":1},{"id":"970","label":1},{"id":"971","label":1},{"id":"972","label":1},{"id":"973","label":1},{"id":"974","label":1},{"id":"975","label":1},{"id":"976","label":1},{"id":"977","label":1},{"id":"991","label":1},{"id":"992","label":1},{"id":"993","label":1},{"id":"994","label":1},{"id":"995","label":1},{"id":"1001","label":1},{"id":"1002","label":1},{"id":"1003","label":1},{"id":"1004","label":1},{"id":"1010","label":1},{"id":"1011","label":1},{"id":"1012","label":1},{"id":"1021","label":1},{"id":"1022","label":1},{"id":"1023","label":1},{"id":"1032","label":1},{"id":"1033","label":1},{"id":"1034","label":1},{"id":"1038","label":1},{"id":"1039","label":1},{"id":"1048","label":1},{"id":"1049","label":1},{"id":"1052","label":1},{"id":"1053","label":1},{"id":"1057","label":1},{"id":"1058","label":1},{"id":"1075","label":1},{"id":"1076","label":1},{"id":"1077","label":1},{"id":"1078","label":1},{"id":"1079","label":1},{"id":"1080","label":1},{"id":"1081","label":1},{"id":"1082","label":1},{"id":"1083","label":1},{"id":"1084","label":1},{"id":"1088","label":1},{"id":"1089","label":1},{"id":"1090","label":1},{"id":"1091","label":1},{"id":"1092","label":1},{"id":"1093","label":1},{"id":"1094","label":1},{"id":"1095","label":1},{"id":"1096","label":1},{"id":"1098","label":1},{"id":"1099","label":1},{"id":"1100","label":1},{"id":"1101","label":1},{"id":"1102","label":1},{"id":"1103","label":1},{"id":"1104","label":1},{"id":"1106","label":1},{"id":"1107","label":1},{"id":"1108","label":1},{"id":"1109","label":1},{"id":"1117","label":1},{"id":"1118","label":1},{"id":"1119","label":1},{"id":"1123","label":1},{"id":"1124","label":1},{"id":"1125","label":1},{"id":"1126","label":1},{"id":"1127","label":1},{"id":"1128","label":1},{"id":"1129","label":1},{"id":"1130","label":1},{"id":"1131","label":1},{"id":"1135","label":1},{"id":"1136","label":1},{"id":"1144","label":1},{"id":"1145","label":1},{"id":"1146","label":1},{"id":"1147","label":1},{"id":"1148","label":1},{"id":"1149","label":1},{"id":"1150","label":1},{"id":"1151","label":1},{"id":"1152","label":1},{"id":"1153","label":1},{"id":"1154","label":1},{"id":"1155","label":1},{"id":"1156","label":1},{"id":"1157","label":1},{"id":"1158","label":1},{"id":"1162","label":1},{"id":"1163","label":1},{"id":"1164","label":1},{"id":"1165","label":1},{"id":"1166","label":1},{"id":"1167","label":1},{"id":"1170","label":1},{"id":"1171","label":1},{"id":"1174","label":1},{"id":"1175","label":1},{"id":"1176","label":1},{"id":"1179","label":1},{"id":"1180","label":1},{"id":"1181","label":1},{"id":"1182","label":1},{"id":"1183","label":1},{"id":"1184","label":1},{"id":"1192","label":1},{"id":"1193","label":1},{"id":"1194","label":1},{"id":"1195","label":1},{"id":"1196","label":1},{"id":"1201","label":7},{"id":"1202","label":7},{"id":"1203","label":7},{"id":"1204","label":7},{"id":"1205","label":7},{"id":"1206","label":7},{"id":"1207","label":7},{"id":"1208","label":7},{"id":"1209","label":7},{"id":"1210","label":7},{"id":"1211","label":7},{"id":"1212","label":7},{"id":"1216","label":7},{"id":"1217","label":7},{"id":"1218","label":7},{"id":"1219","label":7},{"id":"1220","label":7},{"id":"1226","label":7},{"id":"1227","label":7},{"id":"1228","label":7},{"id":"1229","label":7},{"id":"1230","label":7},{"id":"1233","label":7},{"id":"1234","label":7},{"id":"1235","label":7},{"id":"1247","label":7},{"id":"1248","label":7},{"id":"1249","label":7},{"id":"1250","label":7},{"id":"1254","label":7},{"id":"1255","label":7},{"id":"1256","label":7},{"id":"1257","label":7},{"id":"1258","label":7},{"id":"1259","label":7},{"id":"1260","label":7},{"id":"1261","label":7},{"id":"1262","label":7},{"id":"1263","label":7},{"id":"1264","label":7},{"id":"1265","label":7},{"id":"1275","label":7},{"id":"1276","label":7},{"id":"1277","label":7},{"id":"1278","label":7},{"id":"1279","label":7},{"id":"1280","label":7},{"id":"1285","label":7},{"id":"1286","label":7},{"id":"1287","label":7},{"id":"1288","label":7},{"id":"1289","label":7},{"id":"1290","label":7},{"id":"1291","label":7},{"id":"1292","label":7},{"id":"1293","label":7},{"id":"1294","label":7},{"id":"1295","label":7},{"id":"1297","label":7},{"id":"1298","label":7},{"id":"1299","label":7},{"id":"1302","label":7},{"id":"1303","label":7},{"id":"1304","label":7},{"id":"1305","label":7},{"id":"1306","label":7},{"id":"1307","label":7},{"id":"1308","label":7},{"id":"1314","label":7},{"id":"1315","label":7},{"id":"1329","label":7},{"id":"1330","label":7},{"id":"1331","label":7},{"id":"1332","label":7},{"id":"1335","label":7},{"id":"1336","label":7},{"id":"1337","label":7},{"id":"1338","label":7},{"id":"1339","label":7},{"id":"1340","label":7},{"id":"1347","label":4},{"id":"1348","label":4},{"id":"1349","label":4},{"id":"1353","label":4},{"id":"1354","label":4},{"id":"1355","label":4},{"id":"1356","label":4},{"id":"1364","label":4},{"id":"1365","label":4},{"id":"1368","label":4},{"id":"1369","label":4},{"id":"1384","label":4},{"id":"1385","label":4},{"id":"1386","label":4},{"id":"1387","label":4},{"id":"1388","label":4},{"id":"1389","label":4},{"id":"1390","label":4},{"id":"1391","label":4},{"id":"1394","label":4},{"id":"1395","label":4},{"id":"1396","label":4},{"id":"1397","label":4},{"id":"1398","label":4},{"id":"1399","label":4},{"id":"1400","label":4},{"id":"1401","label":4},{"id":"1407","label":4},{"id":"1408","label":4},{"id":"1409","label":4},{"id":"1410","label":4},{"id":"1411","label":4},{"id":"1412","label":4},{"id":"1413","label":4},{"id":"1414","label":4},{"id":"1421","label":4},{"id":"1422","label":4},{"id":"1423","label":4},{"id":"1424","label":4},{"id":"1430","label":4},{"id":"1431","label":4},{"id":"1432","label":4},{"id":"1433","label":4},{"id":"1441","label":4},{"id":"1442","label":4},{"id":"1443","label":4},{"id":"1444","label":4},{"id":"1445","label":4},{"id":"1446","label":4},{"id":"1447","label":4},{"id":"1448","label":4},{"id":"1449","label":4}]}

protocols/utd-mhad.json

@@ -0,0 +1 @@
+{"dataset":"utd-mhad","records":[{"id":"a1_s1_t1","label":0},{"id":"a1_s1_t2","label":0},{"id":"a1_s1_t3","label":0},{"id":"a1_s1_t4","label":0},{"id":"a1_s2_t1","label":0},{"id":"a1_s2_t2","label":0},{"id":"a1_s2_t3","label":0},{"id":"a1_s2_t4","label":0},{"id":"a1_s3_t1","label":0},{"id":"a1_s3_t2","label":0},{"id":"a1_s3_t3","label":0},{"id":"a1_s3_t4","label":0},{"id":"a1_s4_t1","label":0},{"id":"a1_s4_t2","label":0},{"id":"a1_s4_t3","label":0},{"id":"a1_s4_t4","label":0},{"id":"a1_s5_t1","label":0},{"id":"a1_s5_t2","label":0},{"id":"a1_s5_t3","label":0},{"id":"a1_s5_t4","label":0},{"id":"a1_s6_t1","label":0},{"id":"a1_s6_t2","label":0},{"id":"a1_s6_t3","label":0},{"id":"a1_s6_t4","label":0},{"id":"a1_s7_t1","label":0},{"id":"a1_s7_t2","label":0},{"id":"a1_s7_t3","label":0},{"id":"a1_s7_t4","label":0},{"id":"a1_s8_t1","label":0},{"id":"a1_s8_t2","label":0},{"id":"a1_s8_t3","label":0},{"id":"a1_s8_t4","label":0},{"id":"a2_s1_t1","label":1},{"id":"a2_s1_t2","label":1},{"id":"a2_s1_t3","label":1},{"id":"a2_s1_t4","label":1},{"id":"a2_s2_t1","label":1},{"id":"a2_s2_t2","label":1},{"id":"a2_s2_t3","label":1},{"id":"a2_s2_t4","label":1},{"id":"a2_s3_t1","label":1},{"id":"a2_s3_t2","label":1},{"id":"a2_s3_t3","label":1},{"id":"a2_s3_t4","label":1},{"id":"a2_s4_t1","label":1},{"id":"a2_s4_t2","label":1},{"id":"a2_s4_t3","label":1},{"id":"a2_s4_t4","label":1},{"id":"a2_s5_t1","label":1},{"id":"a2_s5_t2","label":1},{"id":"a2_s5_t3","label":1},{"id":"a2_s5_t4","label":1},{"id":"a2_s6_t1","label":1},{"id":"a2_s6_t2","label":1},{"id":"a2_s6_t3","label":1},{"id":"a2_s6_t4","label":1},{"id":"a2_s7_t1","label":1},{"id":"a2_s7_t2","label":1},{"id":"a2_s7_t3","label":1},{"id":"a2_s7_t4","label":1},{"id":"a2_s8_t1","label":1},{"id":"a2_s8_t2","label":1},{"id":"a2_s8_t3","label":1},{"id":"a2_s8_t4","label":1},{"id":"a3_s1_t1","label":2},{"id":"a3_s1_t2","label":2},{"id":"a3_s1_t3","label":2},{"id":"a3_s1_t4","label":2},{"id":"a3_s2_t1","label":2},{"id":"a3_s2_t2","label":2},{"id":"a3_s2_t3","label":2},{"id":"a3_s2_t4","label":2},{"id":"a3_s3_t1","label":2},{"id":"a3_s3_t2","label":2},{"id":"a3_s3_t3","label":2},{"id":"a3_s3_t4","label":2},{"id":"a3_s4_t1","label":2},{"id":"a3_s4_t2","label":2},{"id":"a3_s4_t3","label":2},{"id":"a3_s4_t4","label":2},{"id":"a3_s5_t1","label":2},{"id":"a3_s5_t2","label":2},{"id":"a3_s5_t3","label":2},{"id":"a3_s5_t4","label":2},{"id":"a3_s6_t1","label":2},{"id":"a3_s6_t2","label":2},{"id":"a3_s6_t3","label":2},{"id":"a3_s6_t4","label":2},{"id":"a3_s7_t1","label":2},{"id":"a3_s7_t2","label":2},{"id":"a3_s7_t3","label":2},{"id":"a3_s7_t4","label":2},{"id":"a3_s8_t1","label":2},{"id":"a3_s8_t2","label":2},{"id":"a3_s8_t3","label":2},{"id":"a3_s8_t4","label":2},{"id":"a4_s1_t1","label":3},{"id":"a4_s1_t2","label":3},{"id":"a4_s1_t3","label":3},{"id":"a4_s1_t4","label":3},{"id":"a4_s2_t1","label":3},{"id":"a4_s2_t2","label":3},{"id":"a4_s2_t3","label":3},{"id":"a4_s2_t4","label":3},{"id":"a4_s3_t1","label":3},{"id":"a4_s3_t2","label":3},{"id":"a4_s3_t3","label":3},{"id":"a4_s3_t4","label":3},{"id":"a4_s4_t1","label":3},{"id":"a4_s4_t2","label":3},{"id":"a4_s4_t3","label":3},{"id":"a4_s4_t4","label":3},{"id":"a4_s5_t1","label":3},{"id":"a4_s5_t2","label":3},{"id":"a4_s5_t3","label":3},{"id":"a4_s5_t4","label":3},{"id":"a4_s6_t1","label":3},{"id":"a4_s6_t2","label":3},{"id":"a4_s6_t3","label":3},{"id":"a4_s6_t4","label":3},{"id":"a4_s7_t1","label":3},{"id":"a4_s7_t2","label":3},{"id":"a4_s7_t3","label":3},{"id":"a4_s7_t4","label":3},{"id":"a4_s8_t1","label":3},{"id":"a4_s8_t2","label":3},{"id":"a4_s8_t3","label":3},{"id":"a4_s8_t4","label":3},{"id":"a5_s1_t1","label":4},{"id":"a5_s1_t2","label":4},{"id":"a5_s1_t3","label":4},{"id":"a5_s1_t4","label":4},{"id":"a5_s2_t1","label":4},{"id":"a5_s2_t2","label":4},{"id":"a5_s2_t3","label":4},{"id":"a5_s2_t4","label":4},{"id":"a5_s3_t1","label":4},{"id":"a5_s3_t2","label":4},{"id":"a5_s3_t3","label":4},{"id":"a5_s3_t4","label":4},{"id":"a5_s4_t1","label":4},{"id":"a5_s4_t2","label":4},{"id":"a5_s4_t3","label":4},{"id":"a5_s4_t4","label":4},{"id":"a5_s5_t1","label":4},{"id":"a5_s5_t2","label":4},{"id":"a5_s5_t3","label":4},{"id":"a5_s5_t4","label":4},{"id":"a5_s6_t1","label":4},{"id":"a5_s6_t2","label":4},{"id":"a5_s6_t3","label":4},{"id":"a5_s6_t4","label":4},{"id":"a5_s7_t1","label":4},{"id":"a5_s7_t2","label":4},{"id":"a5_s7_t3","label":4},{"id":"a5_s7_t4","label":4},{"id":"a5_s8_t1","label":4},{"id":"a5_s8_t2","label":4},{"id":"a5_s8_t3","label":4},{"id":"a5_s8_t4","label":4},{"id":"a6_s1_t1","label":5},{"id":"a6_s1_t2","label":5},{"id":"a6_s1_t3","label":5},{"id":"a6_s1_t4","label":5},{"id":"a6_s2_t1","label":5},{"id":"a6_s2_t2","label":5},{"id":"a6_s2_t3","label":5},{"id":"a6_s2_t4","label":5},{"id":"a6_s3_t1","label":5},{"id":"a6_s3_t2","label":5},{"id":"a6_s3_t3","label":5},{"id":"a6_s3_t4","label":5},{"id":"a6_s4_t1","label":5},{"id":"a6_s4_t2","label":5},{"id":"a6_s4_t3","label":5},{"id":"a6_s4_t4","label":5},{"id":"a6_s5_t1","label":5},{"id":"a6_s5_t2","label":5},{"id":"a6_s5_t3","label":5},{"id":"a6_s5_t4","label":5},{"id":"a6_s6_t1","label":5},{"id":"a6_s6_t2","label":5},{"id":"a6_s6_t3","label":5},{"id":"a6_s6_t4","label":5},{"id":"a6_s7_t1","label":5},{"id":"a6_s7_t2","label":5},{"id":"a6_s7_t3","label":5},{"id":"a6_s7_t4","label":5},{"id":"a6_s8_t1","label":5},{"id":"a6_s8_t2","label":5},{"id":"a6_s8_t3","label":5},{"id":"a6_s8_t4","label":5},{"id":"a7_s1_t1","label":6},{"id":"a7_s1_t2","label":6},{"id":"a7_s1_t3","label":6},{"id":"a7_s1_t4","label":6},{"id":"a7_s2_t1","label":6},{"id":"a7_s2_t2","label":6},{"id":"a7_s2_t3","label":6},{"id":"a7_s2_t4","label":6},{"id":"a7_s3_t1","label":6},{"id":"a7_s3_t2","label":6},{"id":"a7_s3_t3","label":6},{"id":"a7_s3_t4","label":6},{"id":"a7_s4_t1","label":6},{"id":"a7_s4_t2","label":6},{"id":"a7_s4_t3","label":6},{"id":"a7_s4_t4","label":6},{"id":"a7_s5_t1","label":6},{"id":"a7_s5_t2","label":6},{"id":"a7_s5_t3","label":6},{"id":"a7_s5_t4","label":6},{"id":"a7_s6_t1","label":6},{"id":"a7_s6_t2","label":6},{"id":"a7_s6_t3","label":6},{"id":"a7_s6_t4","label":6},{"id":"a7_s7_t1","label":6},{"id":"a7_s7_t2","label":6},{"id":"a7_s7_t3","label":6},{"id":"a7_s7_t4","label":6},{"id":"a7_s8_t1","label":6},{"id":"a7_s8_t2","label":6},{"id":"a7_s8_t3","label":6},{"id":"a7_s8_t4","label":6},{"id":"a8_s1_t1","label":7},{"id":"a8_s1_t2","label":7},{"id":"a8_s1_t3","label":7},{"id":"a8_s2_t1","label":7},{"id":"a8_s2_t2","label":7},{"id":"a8_s2_t3","label":7},{"id":"a8_s2_t4","label":7},{"id":"a8_s3_t1","label":7},{"id":"a8_s3_t2","label":7},{"id":"a8_s3_t3","label":7},{"id":"a8_s3_t4","label":7},{"id":"a8_s4_t1","label":7},{"id":"a8_s4_t2","label":7},{"id":"a8_s4_t3","label":7},{"id":"a8_s4_t4","label":7},{"id":"a8_s5_t1","label":7},{"id":"a8_s5_t2","label":7},{"id":"a8_s5_t3","label":7},{"id":"a8_s5_t4","label":7},{"id":"a8_s6_t1","label":7},{"id":"a8_s6_t2","label":7},{"id":"a8_s6_t3","label":7},{"id":"a8_s6_t4","label":7},{"id":"a8_s7_t1","label":7},{"id":"a8_s7_t2","label":7},{"id":"a8_s7_t3","label":7},{"id":"a8_s7_t4","label":7},{"id":"a8_s8_t1","label":7},{"id":"a8_s8_t2","label":7},{"id":"a8_s8_t3","label":7},{"id":"a8_s8_t4","label":7},{"id":"a9_s1_t1","label":8},{"id":"a9_s1_t2","label":8},{"id":"a9_s1_t3","label":8},{"id":"a9_s1_t4","label":8},{"id":"a9_s2_t1","label":8},{"id":"a9_s2_t2","label":8},{"id":"a9_s2_t3","label":8},{"id":"a9_s2_t4","label":8},{"id":"a9_s3_t1","label":8},{"id":"a9_s3_t2","label":8},{"id":"a9_s3_t3","label":8},{"id":"a9_s3_t4","label":8},{"id":"a9_s4_t1","label":8},{"id":"a9_s4_t2","label":8},{"id":"a9_s4_t3","label":8},{"id":"a9_s4_t4","label":8},{"id":"a9_s5_t1","label":8},{"id":"a9_s5_t2","label":8},{"id":"a9_s5_t3","label":8},{"id":"a9_s5_t4","label":8},{"id":"a9_s6_t1","label":8},{"id":"a9_s6_t2","label":8},{"id":"a9_s6_t3","label":8},{"id":"a9_s6_t4","label":8},{"id":"a9_s7_t1","label":8},{"id":"a9_s7_t2","label":8},{"id":"a9_s7_t3","label":8},{"id":"a9_s7_t4","label":8},{"id":"a9_s8_t1","label":8},{"id":"a9_s8_t2","label":8},{"id":"a9_s8_t3","label":8},{"id":"a9_s8_t4","label":8},{"id":"a10_s1_t1","label":9},{"id":"a10_s1_t2","label":9},{"id":"a10_s1_t3","label":9},{"id":"a10_s1_t4","label":9},{"id":"a10_s2_t1","label":9},{"id":"a10_s2_t2","label":9},{"id":"a10_s2_t3","label":9},{"id":"a10_s2_t4","label":9},{"id":"a10_s3_t1","label":9},{"id":"a10_s3_t2","label":9},{"id":"a10_s3_t3","label":9},{"id":"a10_s3_t4","label":9},{"id":"a10_s4_t1","label":9},{"id":"a10_s4_t2","label":9},{"id":"a10_s4_t3","label":9},{"id":"a10_s4_t4","label":9},{"id":"a10_s5_t1","label":9},{"id":"a10_s5_t2","label":9},{"id":"a10_s5_t3","label":9},{"id":"a10_s5_t4","label":9},{"id":"a10_s6_t1","label":9},{"id":"a10_s6_t2","label":9},{"id":"a10_s6_t3","label":9},{"id":"a10_s6_t4","label":9},{"id":"a10_s7_t1","label":9},{"id":"a10_s7_t2","label":9},{"id":"a10_s7_t3","label":9},{"id":"a10_s7_t4","label":9},{"id":"a10_s8_t1","label":9},{"id":"a10_s8_t2","label":9},{"id":"a10_s8_t3","label":9},{"id":"a10_s8_t4","label":9},{"id":"a11_s1_t1","label":10},{"id":"a11_s1_t2","label":10},{"id":"a11_s1_t3","label":10},{"id":"a11_s1_t4","label":10},{"id":"a11_s2_t1","label":10},{"id":"a11_s2_t2","label":10},{"id":"a11_s2_t3","label":10},{"id":"a11_s2_t4","label":10},{"id":"a11_s3_t1","label":10},{"id":"a11_s3_t2","label":10},{"id":"a11_s3_t3","label":10},{"id":"a11_s3_t4","label":10},{"id":"a11_s4_t1","label":10},{"id":"a11_s4_t2","label":10},{"id":"a11_s4_t3","label":10},{"id":"a11_s4_t4","label":10},{"id":"a11_s5_t1","label":10},{"id":"a11_s5_t2","label":10},{"id":"a11_s5_t3","label":10},{"id":"a11_s5_t4","label":10},{"id":"a11_s6_t1","label":10},{"id":"a11_s6_t2","label":10},{"id":"a11_s6_t3","label":10},{"id":"a11_s6_t4","label":10},{"id":"a11_s7_t1","label":10},{"id":"a11_s7_t2","label":10},{"id":"a11_s7_t3","label":10},{"id":"a11_s7_t4","label":10},{"id":"a11_s8_t1","label":10},{"id":"a11_s8_t2","label":10},{"id":"a11_s8_t3","label":10},{"id":"a11_s8_t4","label":10},{"id":"a12_s1_t1","label":11},{"id":"a12_s1_t2","label":11},{"id":"a12_s1_t3","label":11},{"id":"a12_s1_t4","label":11},{"id":"a12_s2_t1","label":11},{"id":"a12_s2_t2","label":11},{"id":"a12_s2_t3","label":11},{"id":"a12_s2_t4","label":11},{"id":"a12_s3_t1","label":11},{"id":"a12_s3_t2","label":11},{"id":"a12_s3_t3","label":11},{"id":"a12_s3_t4","label":11},{"id":"a12_s4_t1","label":11},{"id":"a12_s4_t2","label":11},{"id":"a12_s4_t3","label":11},{"id":"a12_s4_t4","label":11},{"id":"a12_s5_t1","label":11},{"id":"a12_s5_t2","label":11},{"id":"a12_s5_t3","label":11},{"id":"a12_s5_t4","label":11},{"id":"a12_s6_t1","label":11},{"id":"a12_s6_t2","label":11},{"id":"a12_s6_t3","label":11},{"id":"a12_s6_t4","label":11},{"id":"a12_s7_t1","label":11},{"id":"a12_s7_t2","label":11},{"id":"a12_s7_t3","label":11},{"id":"a12_s7_t4","label":11},{"id":"a12_s8_t1","label":11},{"id":"a12_s8_t2","label":11},{"id":"a12_s8_t3","label":11},{"id":"a12_s8_t4","label":11},{"id":"a13_s1_t1","label":12},{"id":"a13_s1_t2","label":12},{"id":"a13_s1_t3","label":12},{"id":"a13_s1_t4","label":12},{"id":"a13_s2_t1","label":12},{"id":"a13_s2_t2","label":12},{"id":"a13_s2_t3","label":12},{"id":"a13_s2_t4","label":12},{"id":"a13_s3_t1","label":12},{"id":"a13_s3_t2","label":12},{"id":"a13_s3_t3","label":12},{"id":"a13_s3_t4","label":12},{"id":"a13_s4_t1","label":12},{"id":"a13_s4_t2","label":12},{"id":"a13_s4_t3","label":12},{"id":"a13_s4_t4","label":12},{"id":"a13_s5_t1","label":12},{"id":"a13_s5_t2","label":12},{"id":"a13_s5_t3","label":12},{"id":"a13_s5_t4","label":12},{"id":"a13_s6_t1","label":12},{"id":"a13_s6_t2","label":12},{"id":"a13_s6_t3","label":12},{"id":"a13_s6_t4","label":12},{"id":"a13_s7_t1","label":12},{"id":"a13_s7_t2","label":12},{"id":"a13_s7_t3","label":12},{"id":"a13_s7_t4","label":12},{"id":"a13_s8_t1","label":12},{"id":"a13_s8_t2","label":12},{"id":"a13_s8_t3","label":12},{"id":"a13_s8_t4","label":12},{"id":"a14_s1_t1","label":13},{"id":"a14_s1_t2","label":13},{"id":"a14_s1_t3","label":13},{"id":"a14_s1_t4","label":13},{"id":"a14_s2_t1","label":13},{"id":"a14_s2_t2","label":13},{"id":"a14_s2_t3","label":13},{"id":"a14_s2_t4","label":13},{"id":"a14_s3_t1","label":13},{"id":"a14_s3_t2","label":13},{"id":"a14_s3_t3","label":13},{"id":"a14_s3_t4","label":13},{"id":"a14_s4_t1","label":13},{"id":"a14_s4_t2","label":13},{"id":"a14_s4_t3","label":13},{"id":"a14_s4_t4","label":13},{"id":"a14_s5_t1","label":13},{"id":"a14_s5_t2","label":13},{"id":"a14_s5_t3","label":13},{"id":"a14_s5_t4","label":13},{"id":"a14_s6_t1","label":13},{"id":"a14_s6_t2","label":13},{"id":"a14_s6_t3","label":13},{"id":"a14_s6_t4","label":13},{"id":"a14_s7_t1","label":13},{"id":"a14_s7_t2","label":13},{"id":"a14_s7_t3","label":13},{"id":"a14_s7_t4","label":13},{"id":"a14_s8_t1","label":13},{"id":"a14_s8_t2","label":13},{"id":"a14_s8_t3","label":13},{"id":"a14_s8_t4","label":13},{"id":"a15_s1_t1","label":14},{"id":"a15_s1_t2","label":14},{"id":"a15_s1_t3","label":14},{"id":"a15_s1_t4","label":14},{"id":"a15_s2_t1","label":14},{"id":"a15_s2_t2","label":14},{"id":"a15_s2_t3","label":14},{"id":"a15_s2_t4","label":14},{"id":"a15_s3_t1","label":14},{"id":"a15_s3_t2","label":14},{"id":"a15_s3_t3","label":14},{"id":"a15_s3_t4","label":14},{"id":"a15_s4_t1","label":14},{"id":"a15_s4_t2","label":14},{"id":"a15_s4_t3","label":14},{"id":"a15_s4_t4","label":14},{"id":"a15_s5_t1","label":14},{"id":"a15_s5_t2","label":14},{"id":"a15_s5_t3","label":14},{"id":"a15_s5_t4","label":14},{"id":"a15_s6_t1","label":14},{"id":"a15_s6_t2","label":14},{"id":"a15_s6_t3","label":14},{"id":"a15_s6_t4","label":14},{"id":"a15_s7_t1","label":14},{"id":"a15_s7_t2","label":14},{"id":"a15_s7_t3","label":14},{"id":"a15_s7_t4","label":14},{"id":"a15_s8_t1","label":14},{"id":"a15_s8_t2","label":14},{"id":"a15_s8_t3","label":14},{"id":"a15_s8_t4","label":14},{"id":"a16_s1_t1","label":15},{"id":"a16_s1_t2","label":15},{"id":"a16_s1_t3","label":15},{"id":"a16_s1_t4","label":15},{"id":"a16_s2_t1","label":15},{"id":"a16_s2_t2","label":15},{"id":"a16_s2_t3","label":15},{"id":"a16_s2_t4","label":15},{"id":"a16_s3_t1","label":15},{"id":"a16_s3_t2","label":15},{"id":"a16_s3_t3","label":15},{"id":"a16_s3_t4","label":15},{"id":"a16_s4_t1","label":15},{"id":"a16_s4_t2","label":15},{"id":"a16_s4_t3","label":15},{"id":"a16_s4_t4","label":15},{"id":"a16_s5_t1","label":15},{"id":"a16_s5_t2","label":15},{"id":"a16_s5_t3","label":15},{"id":"a16_s5_t4","label":15},{"id":"a16_s6_t1","label":15},{"id":"a16_s6_t2","label":15},{"id":"a16_s6_t3","label":15},{"id":"a16_s6_t4","label":15},{"id":"a16_s7_t1","label":15},{"id":"a16_s7_t2","label":15},{"id":"a16_s7_t3","label":15},{"id":"a16_s7_t4","label":15},{"id":"a16_s8_t1","label":15},{"id":"a16_s8_t2","label":15},{"id":"a16_s8_t3","label":15},{"id":"a16_s8_t4","label":15},{"id":"a17_s1_t1","label":16},{"id":"a17_s1_t2","label":16},{"id":"a17_s1_t3","label":16},{"id":"a17_s1_t4","label":16},{"id":"a17_s2_t1","label":16},{"id":"a17_s2_t2","label":16},{"id":"a17_s2_t3","label":16},{"id":"a17_s2_t4","label":16},{"id":"a17_s3_t1","label":16},{"id":"a17_s3_t2","label":16},{"id":"a17_s3_t3","label":16},{"id":"a17_s3_t4","label":16},{"id":"a17_s4_t1","label":16},{"id":"a17_s4_t2","label":16},{"id":"a17_s4_t3","label":16},{"id":"a17_s4_t4","label":16},{"id":"a17_s5_t1","label":16},{"id":"a17_s5_t2","label":16},{"id":"a17_s5_t3","label":16},{"id":"a17_s5_t4","label":16},{"id":"a17_s6_t1","label":16},{"id":"a17_s6_t2","label":16},{"id":"a17_s6_t3","label":16},{"id":"a17_s6_t4","label":16},{"id":"a17_s7_t1","label":16},{"id":"a17_s7_t2","label":16},{"id":"a17_s7_t3","label":16},{"id":"a17_s7_t4","label":16},{"id":"a17_s8_t1","label":16},{"id":"a17_s8_t2","label":16},{"id":"a17_s8_t3","label":16},{"id":"a17_s8_t4","label":16},{"id":"a18_s1_t1","label":17},{"id":"a18_s1_t2","label":17},{"id":"a18_s1_t3","label":17},{"id":"a18_s1_t4","label":17},{"id":"a18_s2_t1","label":17},{"id":"a18_s2_t2","label":17},{"id":"a18_s2_t3","label":17},{"id":"a18_s2_t4","label":17},{"id":"a18_s3_t1","label":17},{"id":"a18_s3_t2","label":17},{"id":"a18_s3_t3","label":17},{"id":"a18_s3_t4","label":17},{"id":"a18_s4_t1","label":17},{"id":"a18_s4_t2","label":17},{"id":"a18_s4_t3","label":17},{"id":"a18_s4_t4","label":17},{"id":"a18_s5_t1","label":17},{"id":"a18_s5_t2","label":17},{"id":"a18_s5_t3","label":17},{"id":"a18_s5_t4","label":17},{"id":"a18_s6_t1","label":17},{"id":"a18_s6_t2","label":17},{"id":"a18_s6_t3","label":17},{"id":"a18_s6_t4","label":17},{"id":"a18_s7_t1","label":17},{"id":"a18_s7_t2","label":17},{"id":"a18_s7_t3","label":17},{"id":"a18_s7_t4","label":17},{"id":"a18_s8_t1","label":17},{"id":"a18_s8_t2","label":17},{"id":"a18_s8_t3","label":17},{"id":"a18_s8_t4","label":17},{"id":"a19_s1_t1","label":18},{"id":"a19_s1_t2","label":18},{"id":"a19_s1_t3","label":18},{"id":"a19_s1_t4","label":18},{"id":"a19_s2_t1","label":18},{"id":"a19_s2_t2","label":18},{"id":"a19_s2_t3","label":18},{"id":"a19_s2_t4","label":18},{"id":"a19_s3_t1","label":18},{"id":"a19_s3_t2","label":18},{"id":"a19_s3_t3","label":18},{"id":"a19_s3_t4","label":18},{"id":"a19_s4_t1","label":18},{"id":"a19_s4_t2","label":18},{"id":"a19_s4_t3","label":18},{"id":"a19_s4_t4","label":18},{"id":"a19_s5_t1","label":18},{"id":"a19_s5_t2","label":18},{"id":"a19_s5_t3","label":18},{"id":"a19_s5_t4","label":18},{"id":"a19_s6_t1","label":18},{"id":"a19_s6_t2","label":18},{"id":"a19_s6_t3","label":18},{"id":"a19_s6_t4","label":18},{"id":"a19_s7_t1","label":18},{"id":"a19_s7_t2","label":18},{"id":"a19_s7_t3","label":18},{"id":"a19_s7_t4","label":18},{"id":"a19_s8_t1","label":18},{"id":"a19_s8_t2","label":18},{"id":"a19_s8_t3","label":18},{"id":"a19_s8_t4","label":18},{"id":"a20_s1_t1","label":19},{"id":"a20_s1_t2","label":19},{"id":"a20_s1_t3","label":19},{"id":"a20_s1_t4","label":19},{"id":"a20_s2_t1","label":19},{"id":"a20_s2_t2","label":19},{"id":"a20_s2_t3","label":19},{"id":"a20_s2_t4","label":19},{"id":"a20_s3_t1","label":19},{"id":"a20_s3_t2","label":19},{"id":"a20_s3_t3","label":19},{"id":"a20_s3_t4","label":19},{"id":"a20_s4_t1","label":19},{"id":"a20_s4_t2","label":19},{"id":"a20_s4_t3","label":19},{"id":"a20_s4_t4","label":19},{"id":"a20_s5_t1","label":19},{"id":"a20_s5_t2","label":19},{"id":"a20_s5_t3","label":19},{"id":"a20_s5_t4","label":19},{"id":"a20_s6_t1","label":19},{"id":"a20_s6_t2","label":19},{"id":"a20_s6_t3","label":19},{"id":"a20_s6_t4","label":19},{"id":"a20_s7_t1","label":19},{"id":"a20_s7_t2","label":19},{"id":"a20_s7_t3","label":19},{"id":"a20_s7_t4","label":19},{"id":"a20_s8_t1","label":19},{"id":"a20_s8_t2","label":19},{"id":"a20_s8_t3","label":19},{"id":"a20_s8_t4","label":19},{"id":"a21_s1_t1","label":20},{"id":"a21_s1_t2","label":20},{"id":"a21_s1_t3","label":20},{"id":"a21_s1_t4","label":20},{"id":"a21_s2_t1","label":20},{"id":"a21_s2_t2","label":20},{"id":"a21_s2_t3","label":20},{"id":"a21_s2_t4","label":20},{"id":"a21_s3_t1","label":20},{"id":"a21_s3_t2","label":20},{"id":"a21_s3_t3","label":20},{"id":"a21_s3_t4","label":20},{"id":"a21_s4_t1","label":20},{"id":"a21_s4_t2","label":20},{"id":"a21_s4_t3","label":20},{"id":"a21_s4_t4","label":20},{"id":"a21_s5_t1","label":20},{"id":"a21_s5_t2","label":20},{"id":"a21_s5_t3","label":20},{"id":"a21_s5_t4","label":20},{"id":"a21_s6_t1","label":20},{"id":"a21_s6_t2","label":20},{"id":"a21_s6_t3","label":20},{"id":"a21_s6_t4","label":20},{"id":"a21_s7_t1","label":20},{"id":"a21_s7_t2","label":20},{"id":"a21_s7_t3","label":20},{"id":"a21_s7_t4","label":20},{"id":"a21_s8_t1","label":20},{"id":"a21_s8_t2","label":20},{"id":"a21_s8_t3","label":20},{"id":"a21_s8_t4","label":20},{"id":"a22_s1_t1","label":21},{"id":"a22_s1_t2","label":21},{"id":"a22_s1_t3","label":21},{"id":"a22_s1_t4","label":21},{"id":"a22_s2_t1","label":21},{"id":"a22_s2_t2","label":21},{"id":"a22_s2_t3","label":21},{"id":"a22_s2_t4","label":21},{"id":"a22_s3_t1","label":21},{"id":"a22_s3_t2","label":21},{"id":"a22_s3_t3","label":21},{"id":"a22_s3_t4","label":21},{"id":"a22_s4_t1","label":21},{"id":"a22_s4_t2","label":21},{"id":"a22_s4_t3","label":21},{"id":"a22_s4_t4","label":21},{"id":"a22_s5_t1","label":21},{"id":"a22_s5_t2","label":21},{"id":"a22_s5_t3","label":21},{"id":"a22_s5_t4","label":21},{"id":"a22_s6_t1","label":21},{"id":"a22_s6_t2","label":21},{"id":"a22_s6_t3","label":21},{"id":"a22_s6_t4","label":21},{"id":"a22_s7_t1","label":21},{"id":"a22_s7_t2","label":21},{"id":"a22_s7_t3","label":21},{"id":"a22_s7_t4","label":21},{"id":"a22_s8_t1","label":21},{"id":"a22_s8_t2","label":21},{"id":"a22_s8_t3","label":21},{"id":"a22_s8_t4","label":21},{"id":"a23_s1_t1","label":22},{"id":"a23_s1_t2","label":22},{"id":"a23_s1_t3","label":22},{"id":"a23_s1_t4","label":22},{"id":"a23_s2_t1","label":22},{"id":"a23_s2_t2","label":22},{"id":"a23_s2_t3","label":22},{"id":"a23_s2_t4","label":22},{"id":"a23_s3_t1","label":22},{"id":"a23_s3_t2","label":22},{"id":"a23_s3_t3","label":22},{"id":"a23_s3_t4","label":22},{"id":"a23_s4_t1","label":22},{"id":"a23_s4_t2","label":22},{"id":"a23_s4_t3","label":22},{"id":"a23_s4_t4","label":22},{"id":"a23_s5_t1","label":22},{"id":"a23_s5_t2","label":22},{"id":"a23_s5_t3","label":22},{"id":"a23_s5_t4","label":22},{"id":"a23_s6_t1","label":22},{"id":"a23_s6_t2","label":22},{"id":"a23_s6_t3","label":22},{"id":"a23_s7_t1","label":22},{"id":"a23_s7_t2","label":22},{"id":"a23_s7_t3","label":22},{"id":"a23_s7_t4","label":22},{"id":"a23_s8_t1","label":22},{"id":"a23_s8_t2","label":22},{"id":"a23_s8_t3","label":22},{"id":"a23_s8_t4","label":22},{"id":"a24_s1_t1","label":23},{"id":"a24_s1_t2","label":23},{"id":"a24_s1_t3","label":23},{"id":"a24_s1_t4","label":23},{"id":"a24_s2_t1","label":23},{"id":"a24_s2_t2","label":23},{"id":"a24_s2_t3","label":23},{"id":"a24_s2_t4","label":23},{"id":"a24_s3_t1","label":23},{"id":"a24_s3_t2","label":23},{"id":"a24_s3_t3","label":23},{"id":"a24_s3_t4","label":23},{"id":"a24_s4_t1","label":23},{"id":"a24_s4_t2","label":23},{"id":"a24_s4_t3","label":23},{"id":"a24_s4_t4","label":23},{"id":"a24_s5_t1","label":23},{"id":"a24_s5_t2","label":23},{"id":"a24_s5_t3","label":23},{"id":"a24_s5_t4","label":23},{"id":"a24_s6_t1","label":23},{"id":"a24_s6_t2","label":23},{"id":"a24_s6_t3","label":23},{"id":"a24_s6_t4","label":23},{"id":"a24_s7_t1","label":23},{"id":"a24_s7_t2","label":23},{"id":"a24_s7_t3","label":23},{"id":"a24_s7_t4","label":23},{"id":"a24_s8_t1","label":23},{"id":"a24_s8_t2","label":23},{"id":"a24_s8_t3","label":23},{"id":"a24_s8_t4","label":23},{"id":"a25_s1_t1","label":24},{"id":"a25_s1_t2","label":24},{"id":"a25_s1_t3","label":24},{"id":"a25_s1_t4","label":24},{"id":"a25_s2_t1","label":24},{"id":"a25_s2_t2","label":24},{"id":"a25_s2_t3","label":24},{"id":"a25_s2_t4","label":24},{"id":"a25_s3_t1","label":24},{"id":"a25_s3_t2","label":24},{"id":"a25_s3_t3","label":24},{"id":"a25_s3_t4","label":24},{"id":"a25_s4_t1","label":24},{"id":"a25_s4_t2","label":24},{"id":"a25_s4_t3","label":24},{"id":"a25_s4_t4","label":24},{"id":"a25_s5_t1","label":24},{"id":"a25_s5_t2","label":24},{"id":"a25_s5_t3","label":24},{"id":"a25_s5_t4","label":24},{"id":"a25_s6_t1","label":24},{"id":"a25_s6_t2","label":24},{"id":"a25_s6_t3","label":24},{"id":"a25_s6_t4","label":24},{"id":"a25_s7_t1","label":24},{"id":"a25_s7_t2","label":24},{"id":"a25_s7_t3","label":24},{"id":"a25_s7_t4","label":24},{"id":"a25_s8_t1","label":24},{"id":"a25_s8_t2","label":24},{"id":"a25_s8_t3","label":24},{"id":"a25_s8_t4","label":24},{"id":"a26_s1_t1","label":25},{"id":"a26_s1_t2","label":25},{"id":"a26_s1_t3","label":25},{"id":"a26_s1_t4","label":25},{"id":"a26_s2_t1","label":25},{"id":"a26_s2_t2","label":25},{"id":"a26_s2_t3","label":25},{"id":"a26_s2_t4","label":25},{"id":"a26_s3_t1","label":25},{"id":"a26_s3_t2","label":25},{"id":"a26_s3_t3","label":25},{"id":"a26_s3_t4","label":25},{"id":"a26_s4_t1","label":25},{"id":"a26_s4_t2","label":25},{"id":"a26_s4_t3","label":25},{"id":"a26_s4_t4","label":25},{"id":"a26_s5_t1","label":25},{"id":"a26_s5_t2","label":25},{"id":"a26_s5_t3","label":25},{"id":"a26_s5_t4","label":25},{"id":"a26_s6_t1","label":25},{"id":"a26_s6_t2","label":25},{"id":"a26_s6_t3","label":25},{"id":"a26_s6_t4","label":25},{"id":"a26_s7_t1","label":25},{"id":"a26_s7_t2","label":25},{"id":"a26_s7_t3","label":25},{"id":"a26_s7_t4","label":25},{"id":"a26_s8_t1","label":25},{"id":"a26_s8_t2","label":25},{"id":"a26_s8_t3","label":25},{"id":"a26_s8_t4","label":25},{"id":"a27_s1_t1","label":26},{"id":"a27_s1_t2","label":26},{"id":"a27_s1_t3","label":26},{"id":"a27_s1_t4","label":26},{"id":"a27_s2_t1","label":26},{"id":"a27_s2_t2","label":26},{"id":"a27_s2_t3","label":26},{"id":"a27_s2_t4","label":26},{"id":"a27_s3_t1","label":26},{"id":"a27_s3_t2","label":26},{"id":"a27_s3_t3","label":26},{"id":"a27_s3_t4","label":26},{"id":"a27_s4_t1","label":26},{"id":"a27_s4_t2","label":26},{"id":"a27_s4_t3","label":26},{"id":"a27_s4_t4","label":26},{"id":"a27_s5_t1","label":26},{"id":"a27_s5_t2","label":26},{"id":"a27_s5_t3","label":26},{"id":"a27_s5_t4","label":26},{"id":"a27_s6_t1","label":26},{"id":"a27_s6_t2","label":26},{"id":"a27_s6_t3","label":26},{"id":"a27_s6_t4","label":26},{"id":"a27_s7_t1","label":26},{"id":"a27_s7_t2","label":26},{"id":"a27_s7_t3","label":26},{"id":"a27_s7_t4","label":26},{"id":"a27_s8_t1","label":26},{"id":"a27_s8_t2","label":26},{"id":"a27_s8_t3","label":26}]}

reference_results.json

@@ -1,6 +1,7 @@
 {
-  "scope": "first15_subset_only",
   "evaluation_code_commit": "64b3e9ca01abefb878b02f546f0b593ee459d6cb",
+  "evaluated_date": "2026-10-29",
+  "evaluation_scope": "26 released archives (Ego4D excluded)",
   "results": [
     {
       "task": "retrieval",
@@ -94,6 +95,98 @@
         "resolution_scale": 0.04475672893101064
       }
     },
+    {
+      "task": "retrieval",
+      "backbone": "imagebind",
+      "relation": "audio_depth__batvision",
+      "dataset": "batvision",
+      "protocol_sha256": "293a553e31a87b1665447433fa8c0e6973ec4f10f6e6c0170e69428c3a1a4bc0",
+      "metrics": {
+        "FrozenCosine": {
+          "R@1": 0.0017123287671232876,
+          "R@5": 0.007705479452054794,
+          "R@10": 0.019691780821917807,
+          "A_to_B": {
+            "R@1": 0.0017123287671232876,
+            "R@5": 0.005136986301369863,
+            "R@10": 0.02054794520547945
+          },
+          "B_to_A": {
+            "R@1": 0.0017123287671232876,
+            "R@5": 0.010273972602739725,
+            "R@10": 0.018835616438356163
+          }
+        },
+        "HSA": {
+          "R@1": 0.00684931506849315,
+          "R@5": 0.03681506849315068,
+          "R@10": 0.06934931506849315,
+          "A_to_B": {
+            "R@1": 0.005136986301369863,
+            "R@5": 0.032534246575342464,
+            "R@10": 0.06506849315068493
+          },
+          "B_to_A": {
+            "R@1": 0.008561643835616438,
+            "R@5": 0.0410958904109589,
+            "R@10": 0.07363013698630137
+          }
+        }
+      },
+      "fit": {
+        "carrier_rank": 256,
+        "resolution_rank": 16,
+        "gate": 0.08883661431100176,
+        "carrier_scale": 6.293079516075885,
+        "resolution_scale": 0.05852520715466934
+      }
+    },
+    {
+      "task": "retrieval",
+      "backbone": "imagebind",
+      "relation": "audio_thermal__mavd",
+      "dataset": "mavd",
+      "protocol_sha256": "1f006ab1d0fd1f829a78d79ab9a0c6b51af7c7df211ca408a586f8941311a1db",
+      "metrics": {
+        "FrozenCosine": {
+          "R@1": 0.0011574074074074073,
+          "R@5": 0.005787037037037037,
+          "R@10": 0.015046296296296295,
+          "A_to_B": {
+            "R@1": 0.0,
+            "R@5": 0.006944444444444444,
+            "R@10": 0.016203703703703703
+          },
+          "B_to_A": {
+            "R@1": 0.0023148148148148147,
+            "R@5": 0.004629629629629629,
+            "R@10": 0.013888888888888888
+          }
+        },
+        "HSA": {
+          "R@1": 0.006944444444444444,
+          "R@5": 0.02546296296296296,
+          "R@10": 0.046296296296296294,
+          "A_to_B": {
+            "R@1": 0.009259259259259259,
+            "R@5": 0.02546296296296296,
+            "R@10": 0.041666666666666664
+          },
+          "B_to_A": {
+            "R@1": 0.004629629629629629,
+            "R@5": 0.02546296296296296,
+            "R@10": 0.05092592592592592
+          }
+        }
+      },
+      "fit": {
+        "carrier_rank": 256,
+        "resolution_rank": 3,
+        "gate": 0.018656684741055675,
+        "carrier_scale": 19.075512317876477,
+        "resolution_scale": 0.07868237930337214
+      }
+    },
     {
       "task": "retrieval",
       "backbone": "imagebind",
@@ -140,6 +233,52 @@
         "resolution_scale": 0.058730341347603396
       }
     },
+    {
+      "task": "retrieval",
+      "backbone": "imagebind",
+      "relation": "depth_imu__utd",
+      "dataset": "utd-mhad",
+      "protocol_sha256": "dd6ff6116349bb70b0fb9eac2deee1ac2f7d02e4580d4b0e17328f446e953f53",
+      "metrics": {
+        "FrozenCosine": {
+          "R@1": 0.004651162790697674,
+          "R@5": 0.01744186046511628,
+          "R@10": 0.030232558139534883,
+          "A_to_B": {
+            "R@1": 0.004651162790697674,
+            "R@5": 0.01627906976744186,
+            "R@10": 0.030232558139534883
+          },
+          "B_to_A": {
+            "R@1": 0.004651162790697674,
+            "R@5": 0.018604651162790697,
+            "R@10": 0.030232558139534883
+          }
+        },
+        "HSA": {
+          "R@1": 0.00813953488372093,
+          "R@5": 0.05116279069767442,
+          "R@10": 0.09302325581395349,
+          "A_to_B": {
+            "R@1": 0.002325581395348837,
+            "R@5": 0.04883720930232558,
+            "R@10": 0.09767441860465116
+          },
+          "B_to_A": {
+            "R@1": 0.013953488372093023,
+            "R@5": 0.053488372093023255,
+            "R@10": 0.08837209302325581
+          }
+        }
+      },
+      "fit": {
+        "carrier_rank": 256,
+        "resolution_rank": 5,
+        "gate": 0.08828704471393024,
+        "carrier_scale": 3.535697193849481,
+        "resolution_scale": 0.08927971387968847
+      }
+    },
     {
       "task": "retrieval",
       "backbone": "imagebind",
@@ -186,6 +325,52 @@
         "resolution_scale": 0.0696593053683389
       }
     },
+    {
+      "task": "retrieval",
+      "backbone": "languagebind",
+      "relation": "image-video",
+      "dataset": "ucf101",
+      "protocol_sha256": "38f886fc487eeddb93b497e3486a06d44692ec3c10e1b7ba82d22a43be8ea5e1",
+      "metrics": {
+        "FrozenCosine": {
+          "R@1": 0.6415841584158416,
+          "R@5": 0.9293729372937294,
+          "R@10": 0.9648514851485148,
+          "A_to_B": {
+            "R@1": 0.6729372937293729,
+            "R@5": 0.9478547854785478,
+            "R@10": 0.973927392739274
+          },
+          "B_to_A": {
+            "R@1": 0.6102310231023103,
+            "R@5": 0.9108910891089109,
+            "R@10": 0.9557755775577558
+          }
+        },
+        "HSA": {
+          "R@1": 0.7881188118811882,
+          "R@5": 0.9922442244224422,
+          "R@10": 0.9971947194719473,
+          "A_to_B": {
+            "R@1": 0.8052805280528053,
+            "R@5": 0.9947194719471947,
+            "R@10": 0.9993399339933994
+          },
+          "B_to_A": {
+            "R@1": 0.7709570957095709,
+            "R@5": 0.9897689768976897,
+            "R@10": 0.995049504950495
+          }
+        }
+      },
+      "fit": {
+        "carrier_rank": 100,
+        "resolution_rank": 67,
+        "gate": 0.45068142650313153,
+        "carrier_scale": 22.508036933161993,
+        "resolution_scale": 0.05789382961099691
+      }
+    },
     {
       "task": "retrieval",
       "backbone": "languagebind",
@@ -232,6 +417,52 @@
         "resolution_scale": 0.08231937557188992
       }
     },
+    {
+      "task": "retrieval",
+      "backbone": "languagebind",
+      "relation": "image-depth",
+      "dataset": "nyuv2",
+      "protocol_sha256": "30f6e8f8913b30f2804e8c5f6f6e00ed9417dfc56090d32dc5e043eae8514da9",
+      "metrics": {
+        "FrozenCosine": {
+          "R@1": 0.027522935779816515,
+          "R@5": 0.08333333333333334,
+          "R@10": 0.1162079510703364,
+          "A_to_B": {
+            "R@1": 0.0290519877675841,
+            "R@5": 0.07492354740061162,
+            "R@10": 0.10397553516819572
+          },
+          "B_to_A": {
+            "R@1": 0.02599388379204893,
+            "R@5": 0.09174311926605505,
+            "R@10": 0.12844036697247707
+          }
+        },
+        "HSA": {
+          "R@1": 0.021406727828746176,
+          "R@5": 0.06957186544342507,
+          "R@10": 0.1353211009174312,
+          "A_to_B": {
+            "R@1": 0.021406727828746176,
+            "R@5": 0.0764525993883792,
+            "R@10": 0.1437308868501529
+          },
+          "B_to_A": {
+            "R@1": 0.021406727828746176,
+            "R@5": 0.06269113149847094,
+            "R@10": 0.12691131498470948
+          }
+        }
+      },
+      "fit": {
+        "carrier_rank": 22,
+        "resolution_rank": 21,
+        "gate": 0.06574584502244885,
+        "carrier_scale": 2.120194048985613,
+        "resolution_scale": 0.05014080109865515
+      }
+    },
     {
       "task": "retrieval",
       "backbone": "languagebind",
@@ -370,6 +601,52 @@
         "resolution_scale": 0.05157534439722935
       }
     },
+    {
+      "task": "retrieval",
+      "backbone": "languagebind",
+      "relation": "video-audio",
+      "dataset": "msrvtt",
+      "protocol_sha256": "99892583be7f7220a09bcca32e566dee763864122039e2f55c959da686b7d2ed",
+      "metrics": {
+        "FrozenCosine": {
+          "R@1": 0.012443438914027148,
+          "R@5": 0.041855203619909506,
+          "R@10": 0.06957013574660634,
+          "A_to_B": {
+            "R@1": 0.012443438914027148,
+            "R@5": 0.03733031674208145,
+            "R@10": 0.06561085972850679
+          },
+          "B_to_A": {
+            "R@1": 0.012443438914027148,
+            "R@5": 0.04638009049773756,
+            "R@10": 0.07352941176470588
+          }
+        },
+        "HSA": {
+          "R@1": 0.05712669683257919,
+          "R@5": 0.17420814479638008,
+          "R@10": 0.2664027149321267,
+          "A_to_B": {
+            "R@1": 0.057692307692307696,
+            "R@5": 0.16968325791855204,
+            "R@10": 0.26244343891402716
+          },
+          "B_to_A": {
+            "R@1": 0.05656108597285068,
+            "R@5": 0.17873303167420815,
+            "R@10": 0.2703619909502262
+          }
+        }
+      },
+      "fit": {
+        "carrier_rank": 256,
+        "resolution_rank": 10,
+        "gate": 0.020512898701238683,
+        "carrier_scale": 1.84203579880815,
+        "resolution_scale": 0.04288697374372351
+      }
+    },
     {
       "task": "retrieval",
       "backbone": "languagebind",
@@ -416,6 +693,52 @@
         "resolution_scale": 0.06502345089186126
       }
     },
+    {
+      "task": "retrieval",
+      "backbone": "languagebind",
+      "relation": "thermal-audio",
+      "dataset": "mavd",
+      "protocol_sha256": "ffade8507bdf0ae2c0876268bd43515626da6a7ca7618f25b7d845719e315fef",
+      "metrics": {
+        "FrozenCosine": {
+          "R@1": 0.0011547344110854503,
+          "R@5": 0.009237875288683603,
+          "R@10": 0.020785219399538105,
+          "A_to_B": {
+            "R@1": 0.0023094688221709007,
+            "R@5": 0.013856812933025405,
+            "R@10": 0.020785219399538105
+          },
+          "B_to_A": {
+            "R@1": 0.0,
+            "R@5": 0.004618937644341801,
+            "R@10": 0.020785219399538105
+          }
+        },
+        "HSA": {
+          "R@1": 0.0034642032332563508,
+          "R@5": 0.02193995381062356,
+          "R@10": 0.03926096997690531,
+          "A_to_B": {
+            "R@1": 0.004618937644341801,
+            "R@5": 0.02771362586605081,
+            "R@10": 0.04849884526558892
+          },
+          "B_to_A": {
+            "R@1": 0.0023094688221709007,
+            "R@5": 0.016166281755196306,
+            "R@10": 0.03002309468822171
+          }
+        }
+      },
+      "fit": {
+        "carrier_rank": 1,
+        "resolution_rank": 1,
+        "gate": 0.02212495640585111,
+        "carrier_scale": 12.205648956550359,
+        "resolution_scale": 0.07129141450359765
+      }
+    },
     {
       "task": "retrieval",
       "backbone": "languagebind",
@@ -518,6 +841,90 @@
         "resolution_scale": 0.042765290406818104
       }
     },
+    {
+      "task": "classification",
+      "backbone": "imagebind",
+      "relation": "audio_depth__batvision",
+      "dataset": "batvision",
+      "protocol_sha256": "4fdb7b985f2b99520acd50796c5e01cf117bbf7e59e1d6f795d95f628d52cdfc",
+      "metrics": {
+        "FrozenCosine": {
+          "top1": 0.3219178082191781,
+          "macro_top1": 0.2577106370439704,
+          "top5": 0.8236301369863014,
+          "macro_top5": 0.8428017042811916
+        },
+        "HSA": {
+          "top1": 0.6404109589041096,
+          "macro_top1": 0.6140015460351034,
+          "top5": 0.9417808219178082,
+          "macro_top5": 0.9572142772381744
+        }
+      },
+      "fit": {
+        "carrier_rank": 256,
+        "resolution_rank": 16,
+        "gate": 0.08883661391020689,
+        "carrier_scale": 6.293079431275453,
+        "resolution_scale": 0.05852520866954316
+      }
+    },
+    {
+      "task": "classification",
+      "backbone": "imagebind",
+      "relation": "depth_imu__utd",
+      "dataset": "utd-mhad",
+      "protocol_sha256": "ec97f857e93d42d8f46d046b3aedde9b1dbc60e5d31012acb63becbafa822dc0",
+      "metrics": {
+        "FrozenCosine": {
+          "top1": 0.027906976744186046,
+          "macro_top1": 0.028703703703703703,
+          "top5": 0.17906976744186046,
+          "macro_top5": 0.1802469135802469
+        },
+        "HSA": {
+          "top1": 0.34651162790697676,
+          "macro_top1": 0.3475308641975308,
+          "top5": 0.7255813953488373,
+          "macro_top5": 0.7262345679012346
+        }
+      },
+      "fit": {
+        "carrier_rank": 256,
+        "resolution_rank": 5,
+        "gate": 0.08828705285943686,
+        "carrier_scale": 3.5356968880116946,
+        "resolution_scale": 0.08927972032585015
+      }
+    },
+    {
+      "task": "classification",
+      "backbone": "languagebind",
+      "relation": "image-depth",
+      "dataset": "nyuv2",
+      "protocol_sha256": "529baa6214cbc1066fe185b559b5a4b75963091ee4147ed125f01a3a36bbb658",
+      "metrics": {
+        "FrozenCosine": {
+          "top1": 0.6100917431192661,
+          "macro_top1": 0.519640742183178,
+          "top5": 0.9434250764525994,
+          "macro_top5": 0.9149345734347767
+        },
+        "HSA": {
+          "top1": 0.6574923547400612,
+          "macro_top1": 0.6288644646479404,
+          "top5": 0.9525993883792049,
+          "macro_top5": 0.9396229484485221
+        }
+      },
+      "fit": {
+        "carrier_rank": 9,
+        "resolution_rank": 4,
+        "gate": 0.26572048860273423,
+        "carrier_scale": 9.33469815736833,
+        "resolution_scale": 0.08116517199250858
+      }
+    },
     {
       "task": "classification",
       "backbone": "languagebind",
@@ -574,6 +981,34 @@
         "resolution_scale": 0.052337619344805165
       }
     },
+    {
+      "task": "classification",
+      "backbone": "languagebind",
+      "relation": "video-audio",
+      "dataset": "msrvtt",
+      "protocol_sha256": "b85504e17ffcc86806e795c9ce9c0bbbdc609628316db59e11ee09406b8e186c",
+      "metrics": {
+        "FrozenCosine": {
+          "top1": 0.14819004524886878,
+          "macro_top1": 0.1376776891062707,
+          "top5": 0.4117647058823529,
+          "macro_top5": 0.44639276696188607
+        },
+        "HSA": {
+          "top1": 0.3076923076923077,
+          "macro_top1": 0.2636680895611213,
+          "top5": 0.5938914027149321,
+          "macro_top5": 0.592934093207978
+        }
+      },
+      "fit": {
+        "carrier_rank": 256,
+        "resolution_rank": 10,
+        "gate": 0.020512900109994923,
+        "carrier_scale": 1.8420358299201038,
+        "resolution_scale": 0.04288697478733144
+      }
+    },
     {
       "task": "classification",
       "backbone": "languagebind",
@@ -605,16 +1040,16 @@
   ],
   "aggregate": {
     "retrieval": {
-      "relations": 10,
+      "relations": 17,
       "metric": "R@10",
-      "HSA": 0.4093472310240475,
-      "FrozenCosine": 0.2201943185576948
+      "FrozenCosine": 0.20225462424704074,
+      "HSA": 0.3376659225128017
     },
     "classification": {
-      "relations": 5,
+      "relations": 9,
       "metric": "macro_top1",
-      "HSA": 0.6937802948579648,
-      "FrozenCosine": 0.4220498279139056
+      "FrozenCosine": 0.3393313235118501,
+      "HSA": 0.5914407154146133
     }
   }
 }

retrieval/imagebind/audio_depth__batvision.npz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ecdac733ab8d6996d3eaa364191be2b35bd2a5e87d31c5c3e6ef171132d3309b
+size 42750523

retrieval/imagebind/audio_thermal__mavd.npz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:90e58633f519a9f2f4ed7600f4275a10e7fbbf2b1d225fce2d0e083c4f2f15a3
+size 10482866

retrieval/imagebind/depth_imu__utd.npz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f4c07ddf20ac367102974b620b2acb1b84e58df278a969564161cf94aafa7ff7
+size 9869936

retrieval/languagebind/image-depth.npz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6ee702d338d867edfc889c4dfaaff59d9da8b7cd53926b8271b7cae65a89d448
+size 574927051

retrieval/languagebind/image-video.npz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fccb3c4f01f879830d8b9a193dba701bb130c9e30e14350094b94bb37a5a130e
+size 120834880

retrieval/languagebind/thermal-audio.npz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e1b1d5f6212cc2add3b683800d1e1b511a64a88ee842580e380d63773cc8d79f
+size 10157382

retrieval/languagebind/video-audio.npz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:62242e9d6286289ebf133b05bdaf630e884f3b680d5653926f4dadc3e4a47885
+size 155918587