Duplicate from allenai/pixmo-points

Co-authored-by: Christopher Clark <chrisc36@users.noreply.huggingface.co>

.gitattributes

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+*tfevents* filter=lfs diff=lfs merge=lfs -text
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+*.pcm filter=lfs diff=lfs merge=lfs -text
+*.sam filter=lfs diff=lfs merge=lfs -text
+*.raw filter=lfs diff=lfs merge=lfs -text
+# Audio files - compressed
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README.md

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+---
+license: odc-by
+dataset_info:
+  features:
+  - name: image_url
+    dtype: string
+  - name: image_sha256
+    dtype: string
+  - name: points
+    list:
+    - name: x
+      dtype: float64
+    - name: y
+      dtype: float64
+  - name: count
+    dtype: int64
+  - name: label
+    dtype: string
+  - name: collection_method
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 668565775
+    num_examples: 2376222
+  download_size: 198336771
+  dataset_size: 668565775
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+---
+
+# PixMo-Points
+PixMo-Points is a dataset of images paired with referring expressions and points marking the locations the
+referring expression refers to in the image. It was collected using human annotators and contains a diverse 
+range of points and expressions, with many high-frequency (10+) expressions.
+
+PixMo-Points is a part of the [PixMo dataset collection](https://huggingface.co/collections/allenai/pixmo-674746ea613028006285687b) and was used to 
+provide the pointing capabilities of the [Molmo family of models](https://huggingface.co/collections/allenai/molmo-66f379e6fe3b8ef090a8ca19)
+
+Quick links:
+- 📃 [Paper](https://molmo.allenai.org/paper.pdf)
+- 🎥 [Blog with Videos](https://molmo.allenai.org/blog)
+
+
+## Loading
+```python
+data = datasets.load_dataset("allenai/pixmo-points", split="train")
+```
+
+## Data Format
+Images are stored as URLs that will need to be downloaded separately. Note URLs can be repeated in the data.
+
+The `points` field contains the x, y coordinates specified in pixels.
+
+The `label` field contains the string name of what is being pointed at, this can be a simple object name or a more complex referring expression.
+
+The `collection_method` field specifies whether the image was chosen to target high-frequency counting ("counting") or general pointing ("pointing").
+
+## Image Checking
+Image hashes are included to support double-checking that the downloaded image matches the annotated image. 
+It can be checked like this:
+
+```python
+from hashlib import sha256
+import requests
+
+example = data[0]
+image_bytes = requests.get(example["image_url"]).content
+byte_hash = sha256(image_bytes).hexdigest()
+assert byte_hash == example["image_sha256"]
+```
+
+
+## License
+This dataset is licensed under ODC-BY-1.0. It is intended for research and educational use in accordance with Ai2's [Responsible Use Guidelines](https://allenai.org/responsible-use).

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