Initial release: CLEVR v1.0 (Stanford) subset for Molmo2-ER training
Browse files- README_upstream.md +39 -0
README_upstream.md
ADDED
|
@@ -0,0 +1,39 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: cc-by-4.0
|
| 3 |
+
language:
|
| 4 |
+
- en
|
| 5 |
+
pretty_name: Molmo2-ER CLEVR
|
| 6 |
+
tags:
|
| 7 |
+
- embodied-reasoning
|
| 8 |
+
- molmo2
|
| 9 |
+
- molmo2-er
|
| 10 |
+
- vlm-training-data
|
| 11 |
+
---
|
| 12 |
+
|
| 13 |
+
# Molmo2-ER · CLEVR v1.0 (Stanford)
|
| 14 |
+
|
| 15 |
+
Compositional VQA over rendered 3D primitives (train split only).
|
| 16 |
+
|
| 17 |
+
This is a re-hosted, **loader-ready subset** of the upstream dataset, used to train [`allenai/Molmo2-ER-4B`](https://huggingface.co/allenai/Molmo2-ER-4B). Files mirror the upstream layout; nothing in the data has been modified.
|
| 18 |
+
|
| 19 |
+
## Upstream source
|
| 20 |
+
|
| 21 |
+
- **Original dataset:** [CLEVR v1.0 (Stanford)](https://cs.stanford.edu/people/jcjohns/clevr/)
|
| 22 |
+
- **Paper:** *CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning* ([arXiv:1612.06890](https://arxiv.org/abs/1612.06890))
|
| 23 |
+
- **License:** `cc-by-4.0` (inherits from upstream)
|
| 24 |
+
|
| 25 |
+
If you use this data, please cite the original authors:
|
| 26 |
+
|
| 27 |
+
```bibtex
|
| 28 |
+
@misc{johnson2016clevrdiagnosticdatasetcompositional,
|
| 29 |
+
title={CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning},
|
| 30 |
+
author={Justin Johnson and Bharath Hariharan and Laurens van der Maaten and others},
|
| 31 |
+
year={2016},
|
| 32 |
+
eprint={1612.06890},
|
| 33 |
+
archivePrefix={arXiv}
|
| 34 |
+
}
|
| 35 |
+
```
|
| 36 |
+
|
| 37 |
+
## Usage in Molmo2-ER
|
| 38 |
+
|
| 39 |
+
See the [`allenai/molmo2`](https://github.com/allenai/molmo2) repository for the data loader and training recipe. The relevant loader class for this dataset lives in `olmo/data/spatial_datasets.py`.
|