Describe latest analysis of lila metadata

README.md

@@ -61,15 +61,17 @@ Escape underscores ("_") with a "\". Example: image\_RGB
 
 <!--This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).-->
 
-This dataset contains the LILA BC full camera trap information with notebook exploring available data. Images have been deduplicated and reduced down to species designation, with the main CSV filtered to just those with species labels and only one animal per image. This was done by pulling the first instance of an animal so that there are not repeat images of the same animal from essentially the same time.
+This dataset contains the LILA BC full camera trap information with notebook ([`lilabc_CT.ipynb`](https://huggingface.co/datasets/imageomics/lila-bc-camera/blob/main/notebooks/lilabc_CT.ipynb)) exploring available data. The last run of this (in [commit 010ecf0](https://huggingface.co/datasets/imageomics/lila-bc-camera/commit/010ecf0c6a2e0c99c9481cea793d8b1556b5c71e)) uses and produces the lila CSVs found [here](https://huggingface.co/datasets/imageomics/lila-bc-camera/tree/010ecf0c6a2e0c99c9481cea793d8b1556b5c71e/data).
+More details on this are below in [Data Instances](#data-instances).
 
-The deduplicated collection ([lila_image_urls_and_labels_species.csv](https://huggingface.co/datasets/imageomics/lila-bc-camera/blob/main/data/lila_image_urls_and_labels_species.csv)) has 6,365,985 images (compared to the full dataset of 16,833,848 at time of download).
+**Repo file description at [commit 87e2e4d](https://huggingface.co/datasets/imageomics/lila-bc-camera/tree/87e2e4d46cf1e8daadd74b7738856a1e30754de3) when we were considering it for BioCLIP v1 testing:**
 
+Images have been deduplicated and reduced down to species designation, with the main CSV filtered to just those with species labels and only one animal per image. This was done by pulling the first instance of an animal so that there are not repeat images of the same animal from essentially the same time.
 
-See the [LILA BC HF Dataset](https://huggingface.co/datasets/society-ethics/lila_camera_traps) for more inforamtion and updated data.
+The deduplicated collection ([lila_image_urls_and_labels_species.csv](https://huggingface.co/datasets/imageomics/lila-bc-camera/blob/f2d596714c46bf30edf1f45efe88b3a09b3c5f81/data/lila_image_urls_and_labels_species.csv)) has 6,365,985 images (compared to the full dataset of 16,833,848 at time of download). Its [associated taxonomy mapping release](https://huggingface.co/datasets/imageomics/lila-bc-camera/blob/f2d596714c46bf30edf1f45efe88b3a09b3c5f81/data/lila-taxonomy-mapping_release.csv).
 
+See the [LILA BC HF Dataset](https://huggingface.co/datasets/society-ethics/lila_camera_traps) for more inforamtion and updated data.
 
-This was potentially to use for testingi BioCLIP, but data had been processed elsewhere.
 
 
 ### Supported Tasks and Leaderboards
@@ -80,37 +82,77 @@ This was potentially to use for testingi BioCLIP, but data had been processed el
 
 ## Dataset Structure
 
-<!-- Provide format of the dataset, ex:
-
 ```
 /dataset/
-    Folder_1/
-        File_1
-        File_2
-        ...
-        File_n
-    Folder_2/
-        File_1
-        File_2
-        ...
-        File_n
-    ...
-    Folder_N/
-        File_1
-        File_2
-        ...
-        File_n
-    metadata.csv
+    data/
+        lila-taxonomy-mapping_release.csv
+        lila_image_urls_and_labels.csv
+        lila_image_urls_and_labels_species.csv    # Outdated
+        lila_image_urls_and_labels_wHumans.csv
+    notebooks/
+        lilabc_CT.ipynb
+        lilabc_CT.py
 ```
 
--->
 
 ### Data Instances
-[More Information Needed]
 
-<!--
-Describe data files
--->
+The [`data/lila_image_urls_and_labels.csv`](https://huggingface.co/datasets/imageomics/lila-bc-camera/blob/010ecf0c6a2e0c99c9481cea793d8b1556b5c71e/data/lila_image_urls_and_labels.csv) has all images with non-taxa (identified by `scientific_name`, `common_name`, and `kingdom` are null) or `human` original labels filtered out and has 10,104,328 images.
+7,521,712 have full 7-rank taxa, with 891 unique 7-tuple strings (908 unique including subranks), with 890 unique scientific names -- this count is from before humans were removed (there are 257,159 images with humans listed and they do have full 7-rank taxa).
+Final version at this stage has 9,849,119 images, 907 unique scientific names.
+
+**annotation_level**
+```
+sequence    4156306
+image       2892394
+unknown     2886844
+```
+
+**non-taxa labels:**
+```
+original_label
+problem                   288579
+blurred                   184620
+ignore                    177546
+vehicle                    26445
+unknown                    26170
+snow on lens               17552
+foggy lens                 15832
+vegetation obstruction      6994
+malfunction                 5640
+unclassifiable              3484
+motorcycle                  3423
+misdirected                 2832
+other                       2474
+unidentifiable              1472
+foggy weather               1380
+lens obscured                866
+sun                          835
+end                          616
+fire                         578
+misfire                      400
+eye_shine                    328
+start                        321
+tilted                        56
+unidentified                  39
+```
+
+**Datasets with the non-taxa labels:**
+```
+dataset_name
+SWG Camera Traps                    650745
+Idaho Camera Traps                   66339
+NACTI                                26015
+WCS Camera Traps                     18320
+Wellington Camera Traps               3484
+Orinoquia Camera Traps                1280
+Island Conservation Camera Traps      1269
+Snapshot Serengeti                     568
+ENA24                                  293
+Channel Islands Camera Traps           159
+Snapshot Mountain Zebra                  7
+Snapshot Camdeboo                        3
+```
 
 ### Data Fields
 [More Information Needed]