Datasets:
Update ohio small animals CSVs with filename column
Browse filesNeed unique ID without spaces in it for download with cautious-robot
README.md
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@@ -268,6 +268,8 @@ Each of the `<dataset_name>_<type>` CSVs has the following columns.
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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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- `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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Additionally, the `ohio-small-animals` CSVs have a `filename` column defined as `OH_sm_animals_<filename in url_aws>`.
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### Data Splits
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[More Information Needed]
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data/potential-test-sets/filtered/ohio-small-animals-balanced.csv
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The diff for this file is too large to render.
See raw diff
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data/potential-test-sets/filtered/ohio-small-animals-upper-bound.csv
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:7fcb646860e51c38cb7ac7001c274d200a5f8cf243702a86bad23c40c099cbf5
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size 65257241
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data/potential-test-sets/filtered/ohio-small-animals-upper-lower-bound.csv
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:3bb453e9977f393572888a4dcb87270a160d280ade03079c991d540201a9beee
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size 65236110
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notebooks/lilabc_test-ohio-small-animal.ipynb
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@@ -2,7 +2,7 @@
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"cells": [
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{
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"cell_type": "code",
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"execution_count":
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"metadata": {},
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"outputs": [],
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"source": [
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@@ -1583,7 +1583,7 @@
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},
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{
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"cell_type": "code",
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"execution_count":
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"metadata": {},
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"outputs": [
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{
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@@ -1592,7 +1592,7 @@
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"468"
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]
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},
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"execution_count":
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"metadata": {},
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"output_type": "execute_result"
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}
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@@ -1618,7 +1618,7 @@
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},
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{
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"cell_type": "code",
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"execution_count":
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"metadata": {},
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"outputs": [],
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"source": [
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@@ -1627,6 +1627,118 @@
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"df_balanced.to_csv(\"../data/potential-test-sets/filtered/ohio-small-animals-balanced.csv\", index = False)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [],
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"source": [
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"metadata": {},
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"outputs": [
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{
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"468"
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]
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},
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"execution_count": 10,
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"metadata": {},
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"output_type": "execute_result"
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}
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},
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{
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"cell_type": "code",
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"execution_count": 11,
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"metadata": {},
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"outputs": [],
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"source": [
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"df_balanced.to_csv(\"../data/potential-test-sets/filtered/ohio-small-animals-balanced.csv\", index = False)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Need to add unique filenames"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [],
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"source": [
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"df_reduced = pd.read_csv(\"../data/potential-test-sets/filtered/ohio-small-animals-upper-bound.csv\", low_memory=False)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"'http://us-west-2.opendata.source.coop.s3.amazonaws.com/agentmorris/lila-wildlife/osu-small-animals/Images/Sorted_by_species/Amphibia/American Bullfrog/BIWA3N_2020-07-12_06-50-28.JPG'"
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]
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},
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"execution_count": 4,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"df_reduced.url_aws.values[0]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"'https://lilawildlife.blob.core.windows.net/lila-wildlife/osu-small-animals/Images/Sorted_by_species/Amphibia/American Bullfrog/BIWA3N_2020-07-12_06-50-28.JPG'"
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]
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},
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"execution_count": 5,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"df_reduced.url_azure.values[0]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"'BIWA3N_2020-07-12_06-50-28.JPG'"
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]
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},
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"execution_count": 6,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"df_reduced.url_aws.values[0].split(\"/\")[-1]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"metadata": {},
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"outputs": [],
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"source": [
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"for img_id in list(df_reduced[\"image_id\"]):\n",
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" url = df_reduced.loc[df_reduced[\"image_id\"] == img_id, \"url_aws\"].values[0]\n",
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" df_reduced.loc[df_reduced[\"image_id\"] == img_id, \"filename\"] = \"OH_sm_animals_\" + url.split(\"/\")[-1]"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Resave upper bound and upper-lower"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"metadata": {},
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"outputs": [],
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"source": [
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"df_reduced.to_csv(\"../data/potential-test-sets/filtered/ohio-small-animals-upper-bound.csv\", index = False)\n",
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"df_reduced_upper_lower = df_reduced.loc[df_reduced[\"num_sp_images\"] >= 10].copy()\n",
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"df_reduced_upper_lower.to_csv(\"../data/potential-test-sets/filtered/ohio-small-animals-upper-lower-bound.csv\", index = False)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Rerun the balanced set part as well."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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