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.gitattributes

@@ -76,3 +76,4 @@ GRDR/panda/best_model/best_model.pt.centroids filter=lfs diff=lfs merge=lfs -tex
 GRDR/panda/best_model/best_model.pt.code filter=lfs diff=lfs merge=lfs -text
 GRDR/panda/best_model/best_model.pt.embedding filter=lfs diff=lfs merge=lfs -text
 GRDR/panda/best_model/best_model.pt.videorqvae filter=lfs diff=lfs merge=lfs -text
+InternVideo2/panda/text_embeddings_train_addition.idx.json filter=lfs diff=lfs merge=lfs -text

InternVideo2/panda/text_embeddings_test.pkl

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+size 12038894

InternVideo2/panda/text_embeddings_train.pkl

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+oid sha256:abdb96daa74512e0d93070ad2669c00524336bdf116fd11c75572e65ed6118a6
+size 4550866752

InternVideo2/panda/text_embeddings_train_addition.idx.json

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+size 342975291

InternVideo2/panda/text_embeddings_train_addition.npy

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+oid sha256:55998d2eebde5a4e6dd3f83df6dde4f12752c2f9c217b21e5a90ca20db0b0ebf
+size 17617223808

InternVideo2/panda/text_embeddings_train_addition.npy.meta.json

@@ -0,0 +1,29 @@
+{
+  "array_file": "text_embeddings_train_addition.npy",
+  "created_at_unix": 1779284747.7011616,
+  "dtype": "float32",
+  "format_version": 1,
+  "index_file": "text_embeddings_train_addition.idx.json",
+  "key_mode": "remapped",
+  "num_entries": 8602160,
+  "shape": [
+    8602160,
+    512
+  ],
+  "sources": {
+    "pseudo_pickle": {
+      "mtime_ns": 1779190533084898644,
+      "name": "text_embeddings_train_addition.pkl",
+      "path": "/data2/uqzzha35/VideoRetrieval/features/InternVideo2/panda/text_embeddings_train_addition.pkl",
+      "size": 18140091053
+    },
+    "train_text_pickle": {
+      "mtime_ns": 1778763695652558939,
+      "name": "text_embeddings_train.pkl",
+      "path": "/data2/uqzzha35/VideoRetrieval/features/InternVideo2/panda/text_embeddings_train.pkl",
+      "size": 4550866752
+    }
+  },
+  "train_text_entries": 2150540,
+  "verify_samples": 32
+}

InternVideo2/panda/text_embeddings_train_addition.pkl

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InternVideo2/panda/video_embeddings_test.pkl

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+size 12027452

InternVideo2/panda/video_embeddings_train.done_1066575.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:05aeebdfffbf51f207d87bec83f85a079d59b932ee0c97a8cb50ce6f59925de3
+size 2253656104

InternVideo2/panda/video_embeddings_train.pkl

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+version https://git-lfs.github.com/spec/v1
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+size 4546559075

README.md

@@ -11,7 +11,7 @@ tags:
 - semantic-ids
 - text-to-video
 size_categories:
-- 10K<n<100K
+- 1M<n<10M
 ---
 
 # GRDR-TVR release assets
@@ -27,9 +27,10 @@ Pre-extracted InternVideo2 features are available for:
 - `msrvtt`
 - `actnet`
 - `didemo`
+- `panda`
 - `lsmdc` legacy assets
 
-Panda GRDR checkpoints are hosted here, but Panda feature and annotation preparation follows the code repository instructions.
+The source videos remain under their original dataset licenses and are not mirrored here.
 
 ### GRDR checkpoints
 
@@ -56,32 +57,33 @@ Legacy `lsmdc` checkpoint files remain available under `GRDR/lsmdc/best_model/`,
 
 ### X-Pool checkpoints
 
-X-Pool checkpoint filenames are kept in their original flat layout:
+X-Pool checkpoint filenames keep their original flat layout:
 
 ```text
 Xpool/msrvtt9k_model_best.pth
 Xpool/actnet_model_best.pth
 Xpool/didemo_model_best.pth
+Xpool/panda_2150k_s42_model_best.pth
 Xpool/lsmdc_model_best.pth
 ```
 
-No X-Pool checkpoint file was renamed for this release update.
-
 ## Download examples
 
-Use the `download_features.py` script from the GRDR code repository for the current release workflow:
+Use the `download_features.py` script from the GRDR code repository for the full reproduction workflow. This Hub-side copy downloads the hosted release assets directly:
 
 ```bash
+python download_features.py --features --datasets panda
 python download_features.py --grdr --datasets msrvtt panda
-python download_features.py --features --datasets msrvtt actnet didemo
-python download_features.py --xpool --datasets msrvtt actnet didemo
+python download_features.py --xpool --datasets msrvtt actnet didemo panda
+python download_features.py --all --datasets panda
 ```
 
 You can also download directly from the Hub:
 
 ```bash
-hf download JasonCoderMaker/GRDR-TVR --type dataset --include 'GRDR/msrvtt/best_model/*' --local-dir ./output/checkpoints
-hf download JasonCoderMaker/GRDR-TVR --type dataset --include 'Xpool/msrvtt9k_model_best.pth' --local-dir ./reranker/xpool/ckpt
+hf download JasonCoderMaker/GRDR-TVR --type dataset --include 'InternVideo2/panda/**' --local-dir ./dataset/features
+hf download JasonCoderMaker/GRDR-TVR --type dataset --include 'GRDR/panda/best_model/*' --local-dir ./output/checkpoints
+hf download JasonCoderMaker/GRDR-TVR --type dataset --include 'Xpool/panda_2150k_s42_model_best.pth' --local-dir ./reranker/xpool/ckpt
 ```
 
 The GRDR repository expects checkpoints under `output/checkpoints/GRDR/<dataset>/best_model/`.

Xpool/panda_2150k_s42_model_best.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a9f7613387290d4a9c179fafd77b3c7a744f55850e346fb1b2c62f24418500a4
+size 1831539287

download_checkpoints.sh

@@ -13,7 +13,7 @@ Datasets: msrvtt, actnet, didemo, panda, lsmdc
 Examples:
   ./download_checkpoints.sh --grdr msrvtt
   ./download_checkpoints.sh --grdr panda
-  ./download_checkpoints.sh --xpool msrvtt
+  ./download_checkpoints.sh --xpool panda
 EOF
 }
 
@@ -21,19 +21,24 @@ hf_download() {
     hf download "$REPO_ID" --type dataset --include "$1" --local-dir "$OUTPUT_DIR"
 }
 
+download_xpool_dataset() {
+    case "$1" in
+        msrvtt) hf_download "Xpool/msrvtt9k_model_best.pth" ;;
+        actnet) hf_download "Xpool/actnet_model_best.pth" ;;
+        didemo) hf_download "Xpool/didemo_model_best.pth" ;;
+        panda) hf_download "Xpool/panda_2150k_s42_model_best.pth" ;;
+        lsmdc) hf_download "Xpool/lsmdc_model_best.pth" ;;
+        *) echo "Unknown dataset: $1" >&2; exit 1 ;;
+    esac
+}
+
 cmd="${1:---all}"
 case "$cmd" in
     --all)
         if [[ -n "$DATASET" ]]; then
             hf_download "GRDR/${DATASET}/best_model/*"
-            hf_download "InternVideo2/${DATASET}/**" || true
-            case "$DATASET" in
-                msrvtt) hf_download "Xpool/msrvtt9k_model_best.pth" ;;
-                actnet) hf_download "Xpool/actnet_model_best.pth" ;;
-                didemo) hf_download "Xpool/didemo_model_best.pth" ;;
-                lsmdc) hf_download "Xpool/lsmdc_model_best.pth" ;;
-                panda) echo "No Panda X-Pool checkpoint is hosted in this repo" ;;
-            esac
+            hf_download "InternVideo2/${DATASET}/**"
+            download_xpool_dataset "$DATASET"
         else
             hf_download "GRDR/*/best_model/*"
             hf_download "InternVideo2/**"
@@ -50,14 +55,7 @@ case "$cmd" in
         if [[ -z "$DATASET" ]]; then
             hf_download "Xpool/*"
         else
-            case "$DATASET" in
-                msrvtt) hf_download "Xpool/msrvtt9k_model_best.pth" ;;
-                actnet) hf_download "Xpool/actnet_model_best.pth" ;;
-                didemo) hf_download "Xpool/didemo_model_best.pth" ;;
-                lsmdc) hf_download "Xpool/lsmdc_model_best.pth" ;;
-                panda) echo "No Panda X-Pool checkpoint is hosted in this repo" ;;
-                *) echo "Unknown dataset: $DATASET" >&2; exit 1 ;;
-            esac
+            download_xpool_dataset "$DATASET"
         fi
         ;;
     -h|--help)

download_features.py

@@ -1,5 +1,5 @@
 #!/usr/bin/env python3
-"""Download GRDR-TVR release assets from Hugging Face Hub."""
+"""Download hosted GRDR-TVR release assets from Hugging Face Hub."""
 
 import argparse
 import shutil
@@ -8,13 +8,14 @@ from pathlib import Path
 
 REPO_ID = "JasonCoderMaker/GRDR-TVR"
 DATASETS = ["msrvtt", "actnet", "didemo", "panda", "lsmdc"]
-FEATURE_DATASETS = {"msrvtt", "actnet", "didemo", "lsmdc"}
+FEATURE_DATASETS = {"msrvtt", "actnet", "didemo", "panda", "lsmdc"}
 GRDR_DATASETS = {"msrvtt", "actnet", "didemo", "panda", "lsmdc"}
 XPOOL_FILES = {
     "actnet": "actnet_model_best.pth",
     "didemo": "didemo_model_best.pth",
     "lsmdc": "lsmdc_model_best.pth",
     "msrvtt": "msrvtt9k_model_best.pth",
+    "panda": "panda_2150k_s42_model_best.pth",
 }
 
 
@@ -74,7 +75,7 @@ def download_xpool(datasets, output_dir="./reranker/xpool/ckpt"):
 
 
 def main():
-    parser = argparse.ArgumentParser(description="Download GRDR-TVR release assets")
+    parser = argparse.ArgumentParser(description="Download hosted GRDR-TVR release assets")
     parser.add_argument("--all", action="store_true", help="Download hosted features, GRDR checkpoints, and X-Pool checkpoints")
     parser.add_argument("--features", action="store_true", help="Download hosted InternVideo2 features")
     parser.add_argument("--grdr", action="store_true", help="Download GRDR checkpoints")