Datasets:
Add description of filtered test sets
Browse files
README.md
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@@ -108,15 +108,41 @@ See the [LILA BC HF Dataset](https://huggingface.co/datasets/society-ethics/lila
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potential-test-sets/
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lila-taxonomy-mapping_release.csv
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lila_image_urls_and_labels.csv
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notebooks/
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lilabc_CT.ipynb
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lilabc_CT.py
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lilabc_test
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lilabc_test-EDA.py
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lilabc_test-filter.ipynb
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lilabc_test-filter.py
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```
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### Data Instances
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@@ -221,6 +247,28 @@ Looks like we'll have about 306K images across the 5 datasets that have image-le
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Describe the types of the data files or the columns in a CSV with metadata.
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### Data Splits
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[More Information Needed]
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potential-test-sets/
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lila-taxonomy-mapping_release.csv
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lila_image_urls_and_labels.csv
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filtered/
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ENA24-imbalanced.csv
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ENA24-balanced.csv
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ENA24-balanced-small.csv
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desert-lion-upper-lower-bound.csv
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desert-lion-upper-bound.csv
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desert-lion-balanced.csv
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island-lower-bound_common.csv
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island-lower-bound_family.csv
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island-imbalanced_family.csv
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island-balanced.csv
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island-imbalanced_common.csv
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ohio-small-animals-upper-lower-bound.csv
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ohio-small-animals-upper-bound.csv
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ohio-small-animals-balanced.csv
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orinoquia-upper-lower-bound.csv
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orinoquia-upper-bound.csv
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orinoquia-balanced.csv
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notebooks/
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lilabc_CT.ipynb
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lilabc_CT.py
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lilabc_test-<dataset_name>.ipynb
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lilabc_test-EDA.py
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lilabc_test-filter.ipynb
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lilabc_test-filter.py
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```
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**Notes:**
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- `dataset_name` is one of `desert-lion`, `ENA24`, `island`, `ohio-small-animal`, or `orinoquia`. Each collection of `<dataset_name>-<size_indicator>` CSVs are created in their corresponding `lilabc_test-<dataset_name>` notebook.
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- All the "balanced" datasets and `ENA24-balanced-small.csv` have 12 images per species (or family, in the case of the island-balanced CSV). `ENA24-balanced.csv` has 56 images per species.
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- `upper-bound` are max 10K images per species, with no minimum (this often means the smallest classification class has just 1 image).
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- `upper-lower-bound` CSVs are max 10K images per species and minimum of 10.
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- ENA24 has a minimum of 56 images per species and a maximum of 893, so `ENA24-imbalanced.csv` is just all images containing a single species.
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- The island camera traps were mostly only labeled to family level, so there are common name and family versions. The `imbalanced` sets are just all images with common name or family designation, respectively. The `lower-bound` are only those with at least ten images per class (by common name and family), and `balanced` is just 12 images per family.
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### Data Instances
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Describe the types of the data files or the columns in a CSV with metadata.
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Each of the `<dataset_name>_<type>` CSVs has the following columns.
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- `dataset_name`: name of the LILA BC dataset
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- `url_gcp`, `url_aws`, `url_azure` are URLs to potentially access the image, we recommend `url_aws`.
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- `image_id`: unique identifier for the image.
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- `sequence_id`: ID of the sequence to which the image belongs.
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- `location_id`: ID of the location at which the camera was placed.
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- `frame_num`: generally 0, 1, or 2, indicates order of image within a sequence.
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- `original_label`: label initially assigned to the image.
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- `scientific_name`: genus species of the animal in the image. For the island CSV, lowest rank taxa available, generally family.
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- `common_name`: vernacular name of the animal in the image. For the island CSV, this is generally for the family, but it's a mix.
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- `kingdom`: kingdom of the animal in the image.
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- `phylum`: phylum of the animal in the image.
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- `class`: class of the animal in the image.
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- `order`: order of the animal in the image.
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- `family`: family of the animal in the image.
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- `genus`: genus of the animal in the image. About half null in the island CSVs.
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- `species`: species of the animal in the image. Mostly null in the island CSVs.
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- `num_sp_images`: number of images of that species in the dataset.
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For the island CSVs, instead of `num_sp_images` there are `num_fam_images` and `num_cn_images` representing the number of images for the family or common name, respectively.
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### Data Splits
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[More Information Needed]
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