Update README.md

README.md

@@ -13,9 +13,13 @@ license: bsd-3-clause
 
 <p align="center"><a href="https://www.youtube.com/watch?v=a9VPKJofFo8">Click here to see a 150 scene video preview on YouTube</a></p>
 
-This release provides 48k total stereo video frames, with ground truth for depth, flow, normals, segmentation, albedo, point tracking and more. Each video is 24 timesteps long and shows a fully procedural scene with flying objects and lights with an indoor background. Each group of 4 trajectories provides synchronized views of the same scene.
+This release provides 16000 stereo videos. Each is 24 frames in duration and has ground truth annotations for several computer vision tasks.
+Each group of 4 stereo videos provides random synchronized views of the same procedural dynamic 3D scene.
 
-This data release was generated with a pre-release version of infinigen==2.0.0a2 which will be released soon.
+This datarelease is split into three parts, based on release date:
+- Part A - released 2026-08-19 - 2000 stereo videos, using a pre-release version of infinigen==2.0.0a2
+- Part B - released 2026-08-24 - 8000 stereo videos, sing a pre-release version of infinigen==2.0.0a2
+- Part C - released 2026-08-24 - 6000 stereo videos, using the release version of infinigen==2.0.0a2
 
 ## Limitations: some surfaces not subdivided & no material names
 
@@ -29,10 +33,9 @@ Future data releases will correct these deficiencies. We have released this prev
 
 ## Citation
 
-If you use this dataset in your work, please refer to it as `Infinigen2 Flying Indoors Part A`, or "Part A,B" for whichever Part/ folders you used. 
-As of 2026-08-19 there is only Part A, but more may be added.
+If you use this dataset in your work, please refer to it as `Infinigen2 Flying Indoors A`, or "Infinigen2 Flying Indoor A,B,C" for whichever Part/ folders you used. 
 
-You should also cite our paper using this BibTeX:
+You should also cite our Infinigen2 paper, aswell as the original Infinigen Indoors paper which some refactored Infinigen2 generators are based on:
 
 ```bibtex
 @misc{raistrick2026procfunc,
@@ -44,7 +47,17 @@ You should also cite our paper using this BibTeX:
     primaryClass={cs.CV},
     url={https://arxiv.org/abs/2604.26943},
 }
+
+@inproceedings{infinigen2024indoors,
+    author={Raistrick, Alexander and Mei, Lingjie and Kayan, Karhan and Yan, David and Zuo, Yiming and Han, Beining and Wen, Hongyu and Parakh, Meenal and Alexandropoulos, Stamatis and Lipson, Lahav and Ma, Zeyu and Deng, Jia},
+    title={Infinigen Indoors: Photorealistic Indoor Scenes using Procedural Generation},
+    booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
+    month={June},
+    year={2024},
+    pages={21783-21794}
+}
 ```
+
 ## Download
 
 These commands will install cvdpack (https://github.com/princeton-vl/cvdpack) which is an open-source tool developed by us to compress/decompress the dataset using FFMPEG. 
@@ -72,8 +85,7 @@ These `--subset` keys align with our YouTube video text annotations, which may h
 
 `scene` selects the 3D scene and `traj` selects which of its four camera trajectories you want. Omit `traj` to get all four trajectories of that scene, or omit `scene` to get, for example, `traj=0` from every scene. Each key also accepts a comma-separated list, such as `traj=0,2`.
 
-Or, download and unpack the entire dataset:
-
+Or, download and unpack all of PartA:
 ```bash
 uvx cvdpack unpack \
   --input https://huggingface.co/datasets/infinigen/infinigen2-flying-indoors/tree/main/PartA \
@@ -82,11 +94,11 @@ uvx cvdpack unpack \
   --hf_staging per_job \
   --n_workers 4 --parallel_mode multiprocess
 ```
+**NOTE: You must run downloads for PartA/B/C/etc separately if you want the full dataset**. Do this by substituting `PartA` in the command above.
 
 To unpack on a SLURM cluster, use the `cvdpack[hf,slurm]` extra and replace `--parallel_mode multiprocess` with `--parallel_mode slurm --slurm_args slurm_account=myaccount`. `--hf_staging per_job` lets each worker download and delete only its own inputs.
 
 Or, you can use the traditional Hugging Face download, then run cvdpack once to get compressed `.png` files and again to get `.npy` files for depth and other ground truth:
-
 ```bash
 uvx --from huggingface_hub hf download \
   infinigen/infinigen2-flying-indoors PartA \