Update README.md

README.md

@@ -1,103 +1,188 @@
----
-license: apache-2.0
-dataset_info:
-  features:
-  - name: data_path
-    sequence: string
-  - name: generator
-    dtype: string
-  - name: question
-    dtype: string
-  - name: answer
-    dtype: string
-  - name: options
-    sequence: string
-  - name: metadata
-    dtype: string
-  splits:
-  - name: dcs_sa
-    num_bytes: 1192380951
-    num_examples: 2294572
-  - name: dcs_mc
-    num_bytes: 1313184418
-    num_examples: 2294572
-  - name: dcm_sa_2_img
-    num_bytes: 858402949
-    num_examples: 1400000
-  - name: dcm_mc_2_img
-    num_bytes: 931128693
-    num_examples: 1400000
-  - name: dcm_sa_3_img
-    num_bytes: 1167523949
-    num_examples: 1400000
-  - name: dcm_mc_3_img
-    num_bytes: 1297530106
-    num_examples: 1400000
-  - name: dcm_sa_4_img
-    num_bytes: 1435043372
-    num_examples: 1400000
-  - name: dcm_mc_4_img
-    num_bytes: 1596677323
-    num_examples: 1400000
-  - name: vgs_sa
-    num_bytes: 595577425
-    num_examples: 1537630
-  - name: vgs_mc
-    num_bytes: 671343503
-    num_examples: 1537630
-  - name: vgm_sa_2_img
-    num_bytes: 536078137
-    num_examples: 1400000
-  - name: vgm_mc_2_img
-    num_bytes: 612895409
-    num_examples: 1400000
-  - name: vgm_sa_3_img
-    num_bytes: 693450488
-    num_examples: 1400000
-  - name: vgm_mc_3_img
-    num_bytes: 830159021
-    num_examples: 1400000
-  - name: vgm_sa_4_img
-    num_bytes: 802710456
-    num_examples: 1400000
-  - name: vgm_mc_4_img
-    num_bytes: 972149375
-    num_examples: 1400000
-  download_size: 5904415104
-  dataset_size: 15506235575
-configs:
-- config_name: default
-  data_files:
-  - split: dcs_sa
-    path: data/dcs_sa-*
-  - split: dcs_mc
-    path: data/dcs_mc-*
-  - split: dcm_sa_2_img
-    path: data/dcm_sa_2_img-*
-  - split: dcm_mc_2_img
-    path: data/dcm_mc_2_img-*
-  - split: dcm_sa_3_img
-    path: data/dcm_sa_3_img-*
-  - split: dcm_mc_3_img
-    path: data/dcm_mc_3_img-*
-  - split: dcm_sa_4_img
-    path: data/dcm_sa_4_img-*
-  - split: dcm_mc_4_img
-    path: data/dcm_mc_4_img-*
-  - split: vgs_sa
-    path: data/vgs_sa-*
-  - split: vgs_mc
-    path: data/vgs_mc-*
-  - split: vgm_sa_2_img
-    path: data/vgm_sa_2_img-*
-  - split: vgm_mc_2_img
-    path: data/vgm_mc_2_img-*
-  - split: vgm_sa_3_img
-    path: data/vgm_sa_3_img-*
-  - split: vgm_mc_3_img
-    path: data/vgm_mc_3_img-*
-  - split: vgm_sa_4_img
-    path: data/vgm_sa_4_img-*
-  - split: vgm_mc_4_img
-    path: data/vgm_mc_4_img-*
----
+---
+license: apache-2.0
+dataset_info:
+  features:
+  - name: data_path
+    sequence: string
+  - name: generator
+    dtype: string
+  - name: question
+    dtype: string
+  - name: answer
+    dtype: string
+  - name: options
+    sequence: string
+  - name: metadata
+    dtype: string
+  splits:
+  - name: dcs_sa
+    num_bytes: 1192380951
+    num_examples: 2294572
+  - name: dcs_mc
+    num_bytes: 1313184418
+    num_examples: 2294572
+  - name: dcm_sa_2_img
+    num_bytes: 858402949
+    num_examples: 1400000
+  - name: dcm_mc_2_img
+    num_bytes: 931128693
+    num_examples: 1400000
+  - name: dcm_sa_3_img
+    num_bytes: 1167523949
+    num_examples: 1400000
+  - name: dcm_mc_3_img
+    num_bytes: 1297530106
+    num_examples: 1400000
+  - name: dcm_sa_4_img
+    num_bytes: 1435043372
+    num_examples: 1400000
+  - name: dcm_mc_4_img
+    num_bytes: 1596677323
+    num_examples: 1400000
+  - name: vgs_sa
+    num_bytes: 595577425
+    num_examples: 1537630
+  - name: vgs_mc
+    num_bytes: 671343503
+    num_examples: 1537630
+  - name: vgm_sa_2_img
+    num_bytes: 536078137
+    num_examples: 1400000
+  - name: vgm_mc_2_img
+    num_bytes: 612895409
+    num_examples: 1400000
+  - name: vgm_sa_3_img
+    num_bytes: 693450488
+    num_examples: 1400000
+  - name: vgm_mc_3_img
+    num_bytes: 830159021
+    num_examples: 1400000
+  - name: vgm_sa_4_img
+    num_bytes: 802710456
+    num_examples: 1400000
+  - name: vgm_mc_4_img
+    num_bytes: 972149375
+    num_examples: 1400000
+  download_size: 5904415104
+  dataset_size: 15506235575
+configs:
+- config_name: default
+  data_files:
+  - split: dcs_sa
+    path: data/dcs_sa-*
+  - split: dcs_mc
+    path: data/dcs_mc-*
+  - split: dcm_sa_2_img
+    path: data/dcm_sa_2_img-*
+  - split: dcm_mc_2_img
+    path: data/dcm_mc_2_img-*
+  - split: dcm_sa_3_img
+    path: data/dcm_sa_3_img-*
+  - split: dcm_mc_3_img
+    path: data/dcm_mc_3_img-*
+  - split: dcm_sa_4_img
+    path: data/dcm_sa_4_img-*
+  - split: dcm_mc_4_img
+    path: data/dcm_mc_4_img-*
+  - split: vgs_sa
+    path: data/vgs_sa-*
+  - split: vgs_mc
+    path: data/vgs_mc-*
+  - split: vgm_sa_2_img
+    path: data/vgm_sa_2_img-*
+  - split: vgm_mc_2_img
+    path: data/vgm_mc_2_img-*
+  - split: vgm_sa_3_img
+    path: data/vgm_sa_3_img-*
+  - split: vgm_mc_3_img
+    path: data/vgm_mc_3_img-*
+  - split: vgm_sa_4_img
+    path: data/vgm_sa_4_img-*
+  - split: vgm_mc_4_img
+    path: data/vgm_mc_4_img-*
+---
+
+
+<h1 align="center">  
+  ProVision: Programmatically Scaling Vision-centric Instruction Data for Multimodal Language Models
+</h1>
+
+ProVision is an extendable data generation engine which produces instruction data for large multimodal language models (MLMs).
+
+In particular, it synthesizes instruction data via data generators (Python programs) and scene graphs rather than proprietary models. It also includes a scene graph generation pipeline consisting of various state-of-the-art models (eg, object detection model). Thus, one can generate instruction data for any given image by first generating the scene graph and then apply data generators.
+
+Provision supports generation of both single-image and multi-image instruction data. One can also extend the engine by adding new data generators.
+
+**You are currently viewing the ProVision-10M dataset.**
+
+![pipeline](pipeline.png)
+
+## Dataset Details
+
+### Dataset Sources
+
+- **Repository**: https://github.com/JieyuZ2/ProVision
+- **Paper:** 
+- **Blog:**
+- **Source Data:**  [Visual Genome](https://homes.cs.washington.edu/~ranjay/visualgenome/index.html)/[GQA](https://cs.stanford.edu/people/dorarad/gqa/about.html) and [DataComp](https://www.datacomp.ai/dcclip/index.html#home)
+
+## Uses
+
+### Direct Use
+
+<!-- This section describes suitable use cases for the dataset. -->
+
+ProVision-10M is designed to facilitate research in training multimodal language models.
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
+
+ProVision-10M was built to make research into large multimodal models more accessible. Using
+the dataset to train models that ingest or generate personally identifying information (such
+as images of people’s faces and other sensitive content) as well as military applications are all inappropriate use cases of ProVision-10M.
+
+## Dataset Creation
+
+### Curation Rationale
+
+ProVision-10M was created to demonstrate the potential of programmatically synthesizing instruction data for training multimodal language models.
+
+### Source Data
+
+The dataset is built upon two data sources:
+
+- we use 74,289 images and scene graphs from Visual Genome（the GQA version）
+- we use 126,106 images from DataComp
+
+### Dataset summary
+
+**We do not release the images, please download the images from their original sources (GQA/DataComp)**
+
+| Split        | Size     | Format          | Description  |
+| :------------| :------  | :------         | :---- |
+| vgs_sa       |  1537630 | short answer    | single-image instruction data based on Visual Genome |
+| vgs_mc       |  1537630 | multiple choice | single-image instruction data based on Visual Genome |
+| vgm_sa_2_img |  1400000 | short answer    | 2-image instruction data based on Visual Genome |
+| vgm_mc_2_img |  1400000 | multiple choice | 2-image instruction data based on Visual Genome |
+| vgm_sa_3_img |  1400000 | short answer    | 3-image instruction data based on Visual Genome |
+| vgm_mc_3_img |  1400000 | multiple choice | 3-image instruction data based on Visual Genome |
+| vgm_sa_4_img |  1400000 | short answer    | 4-image instruction data based on Visual Genome |
+| vgm_mc_4_img |  1400000 | multiple choice | 4-image instruction data based on Visual Genome |
+| dcs_sa       |  2294572 | short answer    | single-image instruction data based on DataComp images |
+| dcs_mc       |  2294572 | multiple choice | single-image instruction data based on DataComp images |
+| dcm_sa_2_img |  1400000 | short answer    | 2-image instruction data based on DataComp images |
+| dcm_mc_2_img |  1400000 | multiple choice | 2-image instruction data based on DataComp images |
+| dcm_sa_3_img |  1400000 | short answer    | 3-image instruction data based on DataComp images |
+| dcm_mc_3_img |  1400000 | multiple choice | 3-image instruction data based on DataComp images |
+| dcm_sa_4_img |  1400000 | short answer    | 4-image instruction data based on DataComp images |
+| dcm_mc_4_img |  1400000 | multiple choice | 4-image instruction data based on DataComp images |
+
+## License
+We release ProVision-10M under a Apache License 2.0.
+
+## Citation
+
+```
+
+```