egrace479 commited on
Commit
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1 Parent(s): 48af9b7

Update catalog for TreeOfLife-10M

Browse files

Catalog with all entries we could realign, corresponding license file, and manifest with full information for the realigned entries.

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+ {
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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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+ "import pandas as pd"
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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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+ "TOL_FILEPATH = \"../../data/\""
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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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+ "### Read in Complete EOL TreeOfLife-10M Manifest\n",
26
+ "\n",
27
+ "[`combined-manifest-licenses.csv`](https://huggingface.co/datasets/imageomics/ToL-EDA/blob/48af9b74b7a05a03b9a807a5b7b591fbf574eaec/eol_realign/data/combined-manifest-licenses.csv) is [`eol-cargo-archive_catalog_combined-manifest-checksums_links.csv`](https://huggingface.co/datasets/imageomics/ToL-EDA/blob/48af9b74b7a05a03b9a807a5b7b591fbf574eaec/eol_realign/data/eol-cargo-archive_catalog_combined-manifest-checksums_links.csv) run through the `owner_match` and `make_licenses` scripts."
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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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+ "name": "stdout",
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+ "output_type": "stream",
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+ "text": [
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+ "<class 'pandas.core.frame.DataFrame'>\n",
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+ "RangeIndex: 6841202 entries, 0 to 6841201\n",
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+ "Data columns (total 32 columns):\n",
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+ " # Column Non-Null Count Dtype \n",
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+ "--- ------ -------------- ----- \n",
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+ " 0 filename_archive 6841202 non-null object \n",
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+ " 1 md5 6841202 non-null object \n",
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+ " 2 combined_id_archive 6841202 non-null object \n",
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+ " 3 split 6841202 non-null object \n",
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+ " 4 treeoflife_id 6841202 non-null object \n",
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+ " 5 bioscan_part 0 non-null float64\n",
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+ " 6 bioscan_filename 0 non-null float64\n",
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+ " 7 inat21_filename 0 non-null float64\n",
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+ " 8 inat21_cls_name 0 non-null float64\n",
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+ " 9 inat21_cls_num 0 non-null float64\n",
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+ " 10 kingdom 6551473 non-null object \n",
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+ " 11 phylum 6553206 non-null object \n",
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+ " 12 class 6532009 non-null object \n",
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+ " 13 order 6525621 non-null object \n",
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+ " 14 family 6506076 non-null object \n",
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+ " 15 genus 6486130 non-null object \n",
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+ " 16 species 6406307 non-null object \n",
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+ " 17 common 6841202 non-null object \n",
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+ " 18 combined_id_catalog 6841202 non-null object \n",
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+ " 19 filename_manifest 6841202 non-null object \n",
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+ " 20 combined_id_manifest_redownload 6841202 non-null object \n",
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+ " 21 medium_source_url 6841202 non-null object \n",
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+ " 22 eol_full_size_copy_url 6841202 non-null object \n",
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+ " 23 license_name 6841202 non-null object \n",
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+ " 24 copyright_owner 6841202 non-null object \n",
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+ " 25 expected_image_filename 6841202 non-null object \n",
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+ " 26 source_0706 6841202 non-null bool \n",
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+ " 27 source_0726 6841202 non-null bool \n",
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+ " 28 source_1206 6841202 non-null bool \n",
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+ " 29 combined_id_full_manifest 6841202 non-null object \n",
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+ " 30 title 6841202 non-null object \n",
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+ " 31 license_link 6809751 non-null object \n",
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+ "dtypes: bool(3), float64(5), object(24)\n",
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+ "memory usage: 1.5+ GB\n"
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+ ]
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+ }
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+ ],
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+ "source": [
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+ "manifest = pd.read_csv(\"../data/combined-manifest-licenses.csv\",\n",
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+ " low_memory=False,\n",
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+ " dtype = {\"eol_content_id\": \"int64\", \"eol_page_id\": \"int64\"})\n",
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+ "manifest.info(show_counts = True)"
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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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+ "treeoflife_id 6219674\n",
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+ "md5 6146917\n",
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+ "filename_archive 6219674\n",
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+ "filename_manifest 6608194\n",
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+ "expected_image_filename 6608194\n",
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+ "combined_id_full_manifest 6608194\n",
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+ "dtype: int64"
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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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+ "manifest[[\"treeoflife_id\", \"md5\", \"filename_archive\", \"filename_manifest\",\"expected_image_filename\", \"combined_id_full_manifest\"]].nunique()"
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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": [
118
+ "## Read in TreeOfLife-10M Catalog"
119
+ ]
120
+ },
121
+ {
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+ "cell_type": "markdown",
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+ "metadata": {},
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+ "source": [
125
+ "Note that we will use [`catalog`](https://huggingface.co/datasets/imageomics/ToL-EDA/blob/main/data/catalog.csv) from v3.3 EDA update [commit](https://huggingface.co/datasets/imageomics/ToL-EDA/commit/5260e84802d2910eedc2a206e7be035cf28f64d4). This is the version reported in the paper and in visualizations that will be included with the initial dataset publication; the patch will have updated visuals to match with this version.\n",
126
+ "(renamed locally to `catalog-orig-v3-3.csv`)."
127
+ ]
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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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+ "name": "stdout",
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+ "output_type": "stream",
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+ "text": [
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+ "<class 'pandas.core.frame.DataFrame'>\n",
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+ "RangeIndex: 11021779 entries, 0 to 11021778\n",
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+ "Data columns (total 17 columns):\n",
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+ " # Column Non-Null Count Dtype \n",
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+ "--- ------ -------------- ----- \n",
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+ " 0 split 11021779 non-null object \n",
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+ " 1 treeoflife_id 11021779 non-null object \n",
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+ " 2 eol_content_id 6844184 non-null float64\n",
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+ " 3 eol_page_id 6844184 non-null float64\n",
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+ " 4 bioscan_part 1235502 non-null float64\n",
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+ " 5 bioscan_filename 1235502 non-null object \n",
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+ " 6 inat21_filename 2942093 non-null object \n",
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+ " 7 inat21_cls_name 2942093 non-null object \n",
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+ " 8 inat21_cls_num 2942093 non-null float64\n",
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+ " 9 kingdom 10736334 non-null object \n",
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+ " 10 phylum 10738087 non-null object \n",
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+ " 11 class 10716389 non-null object \n",
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+ " 12 order 10709733 non-null object \n",
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+ " 13 family 10674746 non-null object \n",
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+ " 14 genus 9725443 non-null object \n",
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+ " 15 species 9551602 non-null object \n",
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+ " 16 common 11021779 non-null object \n",
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+ "dtypes: float64(4), object(13)\n",
161
+ "memory usage: 1.4+ GB\n"
162
+ ]
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+ }
164
+ ],
165
+ "source": [
166
+ "catalog_orig = pd.read_csv(TOL_FILEPATH + \"catalog-orig-v3-3.csv\",\n",
167
+ " low_memory=False\n",
168
+ " )\n",
169
+ "catalog_orig.info(show_counts = True)"
170
+ ]
171
+ },
172
+ {
173
+ "cell_type": "markdown",
174
+ "metadata": {},
175
+ "source": [
176
+ "Separate out the EOL portion from the BIOSCAN & iNat21 portion, that way we can merge the EOL part with the manifest (requires casting the EOL content & page IDs to `int64` and combining them with an underscore to merge on the `combined_id_full_manifest`) to get the licenses and create a clear `ToL_manifest` like with rarespecies. Then we can concatenate the adjusted EOL portion with the BIOSCAN & iNat21 portion to reconstruct the catalog."
177
+ ]
178
+ },
179
+ {
180
+ "cell_type": "code",
181
+ "execution_count": 7,
182
+ "metadata": {},
183
+ "outputs": [],
184
+ "source": [
185
+ "# EOL portion of the catalog\n",
186
+ "eol_catalog = catalog_orig.loc[catalog_orig[\"eol_content_id\"].notna()]\n",
187
+ "\n",
188
+ "# BIOSCAN & iNat portion of the catalog\n",
189
+ "bin_catalog = catalog_orig.loc[catalog_orig[\"eol_content_id\"].isna()]"
190
+ ]
191
+ },
192
+ {
193
+ "cell_type": "markdown",
194
+ "metadata": {},
195
+ "source": [
196
+ "Recast EOL content and page IDs as `int64` in combined ID generation. Need to leave them as they are for re-concatenating with the other portion of the catalog."
197
+ ]
198
+ },
199
+ {
200
+ "cell_type": "code",
201
+ "execution_count": 8,
202
+ "metadata": {},
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+ "outputs": [
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+ {
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+ "name": "stderr",
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+ "output_type": "stream",
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+ "text": [
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+ "/var/folders/nv/f0fq1p1n1_3b11x579py_0q80000gq/T/ipykernel_59366/112309718.py:1: SettingWithCopyWarning: \n",
209
+ "A value is trying to be set on a copy of a slice from a DataFrame.\n",
210
+ "Try using .loc[row_indexer,col_indexer] = value instead\n",
211
+ "\n",
212
+ "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
213
+ " eol_catalog[\"combined_id_catalog\"] = eol_catalog[\"eol_content_id\"].astype(int).astype(str) + \"_\" + eol_catalog[\"eol_page_id\"].astype(int).astype(str)\n"
214
+ ]
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+ },
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+ {
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+ "data": {
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+ "text/html": [
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+ "<div>\n",
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+ "<style scoped>\n",
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+ " .dataframe tbody tr th:only-of-type {\n",
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+ " vertical-align: middle;\n",
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+ " }\n",
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+ "\n",
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+ " .dataframe tbody tr th {\n",
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+ " vertical-align: top;\n",
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+ " }\n",
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+ "\n",
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+ " .dataframe thead th {\n",
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+ " text-align: right;\n",
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+ " }\n",
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+ "</style>\n",
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+ "<table border=\"1\" class=\"dataframe\">\n",
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+ " <thead>\n",
235
+ " <tr style=\"text-align: right;\">\n",
236
+ " <th></th>\n",
237
+ " <th>split</th>\n",
238
+ " <th>treeoflife_id</th>\n",
239
+ " <th>eol_content_id</th>\n",
240
+ " <th>eol_page_id</th>\n",
241
+ " <th>bioscan_part</th>\n",
242
+ " <th>bioscan_filename</th>\n",
243
+ " <th>inat21_filename</th>\n",
244
+ " <th>inat21_cls_name</th>\n",
245
+ " <th>inat21_cls_num</th>\n",
246
+ " <th>kingdom</th>\n",
247
+ " <th>phylum</th>\n",
248
+ " <th>class</th>\n",
249
+ " <th>order</th>\n",
250
+ " <th>family</th>\n",
251
+ " <th>genus</th>\n",
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+ " <th>species</th>\n",
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+ " <th>common</th>\n",
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+ " <th>combined_id_catalog</th>\n",
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+ " </tr>\n",
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+ " </thead>\n",
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+ " <tbody>\n",
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+ " <tr>\n",
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+ " <th>0</th>\n",
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+ " <td>train_small</td>\n",
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+ " <td>a87c78c0-eb7c-45ee-9a98-681f61292d6b</td>\n",
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+ " <td>29586132.0</td>\n",
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+ " <td>65441690.0</td>\n",
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+ " <td>NaN</td>\n",
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+ " <td>NaN</td>\n",
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+ " <td>NaN</td>\n",
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+ " <td>NaN</td>\n",
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+ " <td>NaN</td>\n",
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+ " <td>Animalia</td>\n",
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+ " <td>Arthropoda</td>\n",
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+ " <td>Insecta</td>\n",
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+ " <td>Lepidoptera</td>\n",
273
+ " <td>Nymphalidae</td>\n",
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+ " <td>Acraea</td>\n",
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+ " <td>terpsicore</td>\n",
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+ " <td>Tawny Coster</td>\n",
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+ " <td>29586132_65441690</td>\n",
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+ " </tr>\n",
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+ " <tr>\n",
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+ " <th>1</th>\n",
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+ " <td>train_small</td>\n",
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+ " <td>f8158395-d663-4f0f-b38d-1c6ecb16a8ca</td>\n",
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+ " <td>29811010.0</td>\n",
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+ " <td>45510040.0</td>\n",
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+ " <td>NaN</td>\n",
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+ " <td>NaN</td>\n",
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+ " <td>NaN</td>\n",
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+ " <td>NaN</td>\n",
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+ " <td>NaN</td>\n",
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+ " <td>Animalia</td>\n",
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+ " <td>Chordata</td>\n",
292
+ " <td>Aves</td>\n",
293
+ " <td>Passeriformes</td>\n",
294
+ " <td>Pycnonotidae</td>\n",
295
+ " <td>Pycnonotus</td>\n",
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+ " <td>cafer</td>\n",
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+ " <td>Red-vented Bulbul</td>\n",
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+ " <td>29811010_45510040</td>\n",
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+ " </tr>\n",
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+ " <tr>\n",
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+ " <th>2</th>\n",
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+ " <td>train_small</td>\n",
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+ " <td>63aab6e3-b01d-4259-be13-9dd41becaf29</td>\n",
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+ " <td>28563112.0</td>\n",
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+ " <td>736062.0</td>\n",
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+ " <td>NaN</td>\n",
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+ " <td>NaN</td>\n",
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+ " <td>NaN</td>\n",
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+ " <td>NaN</td>\n",
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+ " <td>NaN</td>\n",
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+ " <td>Animalia</td>\n",
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+ " <td>Arthropoda</td>\n",
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+ " <td>Insecta</td>\n",
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+ " <td>Diptera</td>\n",
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+ " <td>Empididae</td>\n",
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+ " <td>Rhamphomyia</td>\n",
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+ " <td>limbata</td>\n",
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+ " <td>Rhamphomyia limbata</td>\n",
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+ " <td>28563112_736062</td>\n",
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+ " </tr>\n",
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+ " <tr>\n",
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+ " <th>3</th>\n",
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+ " <td>train_small</td>\n",
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+ " <td>cf2d58e1-d504-489c-80dd-e99407f8c13d</td>\n",
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+ " <td>29002118.0</td>\n",
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+ " <td>349296.0</td>\n",
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+ " <td>NaN</td>\n",
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+ " <td>NaN</td>\n",
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+ " <td>NaN</td>\n",
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+ " <td>NaN</td>\n",
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+ " <td>NaN</td>\n",
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+ " <td>Animalia</td>\n",
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+ " <td>Arthropoda</td>\n",
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+ " <td>Insecta</td>\n",
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+ " <td>Lepidoptera</td>\n",
336
+ " <td>Geometridae</td>\n",
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+ " <td>Exelis</td>\n",
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+ " <td>pyrolaria</td>\n",
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+ " <td>Fine Lined Gray</td>\n",
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+ " <td>29002118_349296</td>\n",
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+ " </tr>\n",
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+ " </tbody>\n",
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+ "</table>\n",
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+ "</div>"
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+ ],
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+ "text/plain": [
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+ " split treeoflife_id eol_content_id \\\n",
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+ "0 train_small a87c78c0-eb7c-45ee-9a98-681f61292d6b 29586132.0 \n",
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+ "1 train_small f8158395-d663-4f0f-b38d-1c6ecb16a8ca 29811010.0 \n",
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+ "2 train_small 63aab6e3-b01d-4259-be13-9dd41becaf29 28563112.0 \n",
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+ "3 train_small cf2d58e1-d504-489c-80dd-e99407f8c13d 29002118.0 \n",
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+ "\n",
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+ " eol_page_id bioscan_part bioscan_filename inat21_filename inat21_cls_name \\\n",
354
+ "0 65441690.0 NaN NaN NaN NaN \n",
355
+ "1 45510040.0 NaN NaN NaN NaN \n",
356
+ "2 736062.0 NaN NaN NaN NaN \n",
357
+ "3 349296.0 NaN NaN NaN NaN \n",
358
+ "\n",
359
+ " inat21_cls_num kingdom phylum class order family \\\n",
360
+ "0 NaN Animalia Arthropoda Insecta Lepidoptera Nymphalidae \n",
361
+ "1 NaN Animalia Chordata Aves Passeriformes Pycnonotidae \n",
362
+ "2 NaN Animalia Arthropoda Insecta Diptera Empididae \n",
363
+ "3 NaN Animalia Arthropoda Insecta Lepidoptera Geometridae \n",
364
+ "\n",
365
+ " genus species common combined_id_catalog \n",
366
+ "0 Acraea terpsicore Tawny Coster 29586132_65441690 \n",
367
+ "1 Pycnonotus cafer Red-vented Bulbul 29811010_45510040 \n",
368
+ "2 Rhamphomyia limbata Rhamphomyia limbata 28563112_736062 \n",
369
+ "3 Exelis pyrolaria Fine Lined Gray 29002118_349296 "
370
+ ]
371
+ },
372
+ "execution_count": 8,
373
+ "metadata": {},
374
+ "output_type": "execute_result"
375
+ }
376
+ ],
377
+ "source": [
378
+ "eol_catalog[\"combined_id_catalog\"] = eol_catalog[\"eol_content_id\"].astype(int).astype(str) + \"_\" + eol_catalog[\"eol_page_id\"].astype(int).astype(str)\n",
379
+ "eol_catalog.head(4)"
380
+ ]
381
+ },
382
+ {
383
+ "cell_type": "markdown",
384
+ "metadata": {},
385
+ "source": [
386
+ "Keep in mind, we will have some repeated entries due to the `train_small` split, so we will merge on just `split != \"train_small\"`"
387
+ ]
388
+ },
389
+ {
390
+ "cell_type": "code",
391
+ "execution_count": 9,
392
+ "metadata": {},
393
+ "outputs": [],
394
+ "source": [
395
+ "train_val_eol_catalog = eol_catalog.loc[eol_catalog[\"split\"] != \"train_small\"]"
396
+ ]
397
+ },
398
+ {
399
+ "cell_type": "code",
400
+ "execution_count": 10,
401
+ "metadata": {},
402
+ "outputs": [
403
+ {
404
+ "name": "stdout",
405
+ "output_type": "stream",
406
+ "text": [
407
+ "We should have 6250420 entries in our merge, minus the approximately 30K we couldn't match.\n"
408
+ ]
409
+ }
410
+ ],
411
+ "source": [
412
+ "print(f\"We should have {train_val_eol_catalog.shape[0]} entries in our merge, minus the approximately 30K we couldn't match.\")"
413
+ ]
414
+ },
415
+ {
416
+ "cell_type": "markdown",
417
+ "metadata": {},
418
+ "source": [
419
+ "We should have 6,250,420 entries in our merge, minus the approximately 30K we couldn't match.. The expectation is that this will be 6,219,674 entries. Details on this expectation & the `train_small` implications can be found in [`eol_realign/notebooks/links_align_reduced.ipynb`](https://huggingface.co/datasets/imageomics/ToL-EDA/blob/3438fe9a88c0f377a4d8ac4c6c0de796858a08ac/eol_realign/notebooks/links_align_reduced.ipynb)."
420
+ ]
421
+ },
422
+ {
423
+ "cell_type": "code",
424
+ "execution_count": 11,
425
+ "metadata": {},
426
+ "outputs": [],
427
+ "source": [
428
+ "# Catalog Columns\n",
429
+ "id_cols = [\"treeoflife_id\", \"eol_content_id\", \"eol_page_id\", \"combined_id_catalog\"]\n",
430
+ "\n",
431
+ "# Manifest Columns\n",
432
+ "manifest_cols = [\"treeoflife_id\",\n",
433
+ " \"md5\",\n",
434
+ " \"medium_source_url\",\n",
435
+ " \"eol_full_size_copy_url\",\n",
436
+ " \"license_name\",\n",
437
+ " \"copyright_owner\",\n",
438
+ " \"license_link\",\n",
439
+ " \"title\",\n",
440
+ " \"filename_archive\",\n",
441
+ " \"filename_manifest\",\n",
442
+ " \"expected_image_filename\",\n",
443
+ " \"combined_id_full_manifest\"]"
444
+ ]
445
+ },
446
+ {
447
+ "cell_type": "code",
448
+ "execution_count": 12,
449
+ "metadata": {},
450
+ "outputs": [
451
+ {
452
+ "name": "stdout",
453
+ "output_type": "stream",
454
+ "text": [
455
+ "<class 'pandas.core.frame.DataFrame'>\n",
456
+ "RangeIndex: 6841202 entries, 0 to 6841201\n",
457
+ "Data columns (total 15 columns):\n",
458
+ " # Column Non-Null Count Dtype \n",
459
+ "--- ------ -------------- ----- \n",
460
+ " 0 treeoflife_id 6841202 non-null object \n",
461
+ " 1 eol_content_id 6841202 non-null float64\n",
462
+ " 2 eol_page_id 6841202 non-null float64\n",
463
+ " 3 combined_id_catalog 6841202 non-null object \n",
464
+ " 4 md5 6841202 non-null object \n",
465
+ " 5 medium_source_url 6841202 non-null object \n",
466
+ " 6 eol_full_size_copy_url 6841202 non-null object \n",
467
+ " 7 license_name 6841202 non-null object \n",
468
+ " 8 copyright_owner 6841202 non-null object \n",
469
+ " 9 license_link 6809751 non-null object \n",
470
+ " 10 title 6841202 non-null object \n",
471
+ " 11 filename_archive 6841202 non-null object \n",
472
+ " 12 filename_manifest 6841202 non-null object \n",
473
+ " 13 expected_image_filename 6841202 non-null object \n",
474
+ " 14 combined_id_full_manifest 6841202 non-null object \n",
475
+ "dtypes: float64(2), object(13)\n",
476
+ "memory usage: 782.9+ MB\n"
477
+ ]
478
+ }
479
+ ],
480
+ "source": [
481
+ "tol_manifest = pd.merge(train_val_eol_catalog[id_cols],\n",
482
+ " manifest[manifest_cols],\n",
483
+ " on = \"treeoflife_id\",\n",
484
+ " how = \"inner\")\n",
485
+ "tol_manifest.info(show_counts = True)"
486
+ ]
487
+ },
488
+ {
489
+ "cell_type": "code",
490
+ "execution_count": 13,
491
+ "metadata": {},
492
+ "outputs": [
493
+ {
494
+ "data": {
495
+ "text/plain": [
496
+ "treeoflife_id 6219674\n",
497
+ "eol_content_id 6219674\n",
498
+ "eol_page_id 501807\n",
499
+ "combined_id_catalog 6219674\n",
500
+ "md5 6146917\n",
501
+ "medium_source_url 6217871\n",
502
+ "eol_full_size_copy_url 6247692\n",
503
+ "license_name 16\n",
504
+ "copyright_owner 403215\n",
505
+ "license_link 11\n",
506
+ "title 482137\n",
507
+ "filename_archive 6219674\n",
508
+ "filename_manifest 6608194\n",
509
+ "expected_image_filename 6608194\n",
510
+ "combined_id_full_manifest 6608194\n",
511
+ "dtype: int64"
512
+ ]
513
+ },
514
+ "execution_count": 13,
515
+ "metadata": {},
516
+ "output_type": "execute_result"
517
+ }
518
+ ],
519
+ "source": [
520
+ "tol_manifest.nunique()"
521
+ ]
522
+ },
523
+ {
524
+ "cell_type": "markdown",
525
+ "metadata": {},
526
+ "source": [
527
+ "Let's reduce this down to just the unique `treeoflife_id`s. All URLs are valid and the EOL content and page IDs (plus `combined_id_catalog` will match the filenames we have saved)."
528
+ ]
529
+ },
530
+ {
531
+ "cell_type": "code",
532
+ "execution_count": 14,
533
+ "metadata": {},
534
+ "outputs": [
535
+ {
536
+ "name": "stdout",
537
+ "output_type": "stream",
538
+ "text": [
539
+ "(6219674, 16)\n"
540
+ ]
541
+ },
542
+ {
543
+ "data": {
544
+ "text/plain": [
545
+ "treeoflife_id 6219674\n",
546
+ "eol_content_id 6219674\n",
547
+ "eol_page_id 501807\n",
548
+ "combined_id_catalog 6219674\n",
549
+ "md5 6146917\n",
550
+ "medium_source_url 6144920\n",
551
+ "eol_full_size_copy_url 6146917\n",
552
+ "license_name 16\n",
553
+ "copyright_owner 398253\n",
554
+ "license_link 11\n",
555
+ "title 475702\n",
556
+ "filename_archive 6219674\n",
557
+ "filename_manifest 6146917\n",
558
+ "expected_image_filename 6146917\n",
559
+ "combined_id_full_manifest 6146917\n",
560
+ "duplicate_tol_id 1\n",
561
+ "dtype: int64"
562
+ ]
563
+ },
564
+ "execution_count": 14,
565
+ "metadata": {},
566
+ "output_type": "execute_result"
567
+ }
568
+ ],
569
+ "source": [
570
+ "tol_manifest[\"duplicate_tol_id\"] = tol_manifest.duplicated(\"treeoflife_id\", keep = \"first\")\n",
571
+ "tol_manifest = tol_manifest.loc[~tol_manifest[\"duplicate_tol_id\"]]\n",
572
+ "\n",
573
+ "print(tol_manifest.shape)\n",
574
+ "tol_manifest.nunique()"
575
+ ]
576
+ },
577
+ {
578
+ "cell_type": "markdown",
579
+ "metadata": {},
580
+ "source": [
581
+ "Clearly, these match with the archive filenames.\n",
582
+ "\n",
583
+ "Our numbers match the expected count. Let's check our `copyright_owner` and `title` coverage. "
584
+ ]
585
+ },
586
+ {
587
+ "cell_type": "code",
588
+ "execution_count": 15,
589
+ "metadata": {},
590
+ "outputs": [
591
+ {
592
+ "data": {
593
+ "text/plain": [
594
+ "license_name\n",
595
+ "No known copyright restrictions 7389\n",
596
+ "cc-by-nc-sa-3.0 4247\n",
597
+ "cc-publicdomain 3422\n",
598
+ "cc-by-nc 3029\n",
599
+ "cc-by-3.0 470\n",
600
+ "cc-by-sa-3.0 171\n",
601
+ "cc-0-1.0 32\n",
602
+ "cc-by-nc-2.0 2\n",
603
+ "cc-by-nc-4.0 1\n",
604
+ "Name: count, dtype: int64"
605
+ ]
606
+ },
607
+ "execution_count": 15,
608
+ "metadata": {},
609
+ "output_type": "execute_result"
610
+ }
611
+ ],
612
+ "source": [
613
+ "tol_manifest.loc[tol_manifest[\"copyright_owner\"] == \"not provided\", \"license_name\"].value_counts()"
614
+ ]
615
+ },
616
+ {
617
+ "cell_type": "code",
618
+ "execution_count": 16,
619
+ "metadata": {},
620
+ "outputs": [
621
+ {
622
+ "data": {
623
+ "text/plain": [
624
+ "license_name\n",
625
+ "cc-by-nc-4.0 2401921\n",
626
+ "cc-by-sa-3.0 760953\n",
627
+ "cc-by-nc-sa-3.0 664194\n",
628
+ "cc-by-3.0 439653\n",
629
+ "cc-by-4.0 368046\n",
630
+ "cc-by-nc 316103\n",
631
+ "cc-by-nc-sa-4.0 184204\n",
632
+ "cc-by-nc-sa 154761\n",
633
+ "cc-publicdomain 129257\n",
634
+ "cc-by-sa-4.0 65003\n",
635
+ "cc-by 58303\n",
636
+ "cc-by-sa-2.0 30157\n",
637
+ "cc-by-nc-2.0 27718\n",
638
+ "cc-0-1.0 20358\n",
639
+ "No known copyright restrictions 16042\n",
640
+ "cc-by-nc-sa-2.5 315\n",
641
+ "Name: count, dtype: int64"
642
+ ]
643
+ },
644
+ "execution_count": 16,
645
+ "metadata": {},
646
+ "output_type": "execute_result"
647
+ }
648
+ ],
649
+ "source": [
650
+ "tol_manifest.loc[tol_manifest[\"title\"] == \"not provided\", \"license_name\"].value_counts()"
651
+ ]
652
+ },
653
+ {
654
+ "cell_type": "markdown",
655
+ "metadata": {},
656
+ "source": [
657
+ "At least most unmatched lack of copyright restrictions or are CC0; we did what we could."
658
+ ]
659
+ },
660
+ {
661
+ "cell_type": "markdown",
662
+ "metadata": {},
663
+ "source": [
664
+ "### Save Full Owner Manifest\n"
665
+ ]
666
+ },
667
+ {
668
+ "cell_type": "code",
669
+ "execution_count": 17,
670
+ "metadata": {},
671
+ "outputs": [],
672
+ "source": [
673
+ "tol_manifest.to_csv(\"../data/full_owner_manifest.csv\", index = False)"
674
+ ]
675
+ },
676
+ {
677
+ "cell_type": "markdown",
678
+ "metadata": {},
679
+ "source": [
680
+ "### Make and Save License File"
681
+ ]
682
+ },
683
+ {
684
+ "cell_type": "code",
685
+ "execution_count": 18,
686
+ "metadata": {},
687
+ "outputs": [],
688
+ "source": [
689
+ "licesne_cols = [\"treeoflife_id\",\n",
690
+ " \"eol_content_id\",\n",
691
+ " \"eol_page_id\",\n",
692
+ " \"md5\",\n",
693
+ " \"medium_source_url\",\n",
694
+ " \"eol_full_size_copy_url\",\n",
695
+ " \"license_name\",\n",
696
+ " \"copyright_owner\",\n",
697
+ " \"license_link\",\n",
698
+ " \"title\"]\n",
699
+ "\n",
700
+ "licenses = tol_manifest[licesne_cols]"
701
+ ]
702
+ },
703
+ {
704
+ "cell_type": "code",
705
+ "execution_count": 19,
706
+ "metadata": {},
707
+ "outputs": [],
708
+ "source": [
709
+ "licenses.to_csv(TOL_FILEPATH + \"licenses.csv\", index = False)"
710
+ ]
711
+ },
712
+ {
713
+ "cell_type": "markdown",
714
+ "metadata": {},
715
+ "source": [
716
+ "## Make Updated Catalog\n",
717
+ "\n",
718
+ "Reconnect the EOL portion of the catalog to the BIOSCAN and iNat21 portion."
719
+ ]
720
+ },
721
+ {
722
+ "cell_type": "code",
723
+ "execution_count": 20,
724
+ "metadata": {},
725
+ "outputs": [
726
+ {
727
+ "data": {
728
+ "text/plain": [
729
+ "['split',\n",
730
+ " 'treeoflife_id',\n",
731
+ " 'eol_content_id',\n",
732
+ " 'eol_page_id',\n",
733
+ " 'bioscan_part',\n",
734
+ " 'bioscan_filename',\n",
735
+ " 'inat21_filename',\n",
736
+ " 'inat21_cls_name',\n",
737
+ " 'inat21_cls_num',\n",
738
+ " 'kingdom',\n",
739
+ " 'phylum',\n",
740
+ " 'class',\n",
741
+ " 'order',\n",
742
+ " 'family',\n",
743
+ " 'genus',\n",
744
+ " 'species',\n",
745
+ " 'common']"
746
+ ]
747
+ },
748
+ "execution_count": 20,
749
+ "metadata": {},
750
+ "output_type": "execute_result"
751
+ }
752
+ ],
753
+ "source": [
754
+ "cat_cols = list(catalog_orig.columns)\n",
755
+ "cat_cols"
756
+ ]
757
+ },
758
+ {
759
+ "cell_type": "markdown",
760
+ "metadata": {},
761
+ "source": [
762
+ "Need to first reduce the `eol_catalog` (still has the `train_small` split we want to keep).\n",
763
+ "\n",
764
+ "BIOSCAN & iNat portion of the catalog: `bin_catalog`"
765
+ ]
766
+ },
767
+ {
768
+ "cell_type": "code",
769
+ "execution_count": 21,
770
+ "metadata": {},
771
+ "outputs": [
772
+ {
773
+ "name": "stdout",
774
+ "output_type": "stream",
775
+ "text": [
776
+ "(6810437, 18)\n"
777
+ ]
778
+ },
779
+ {
780
+ "data": {
781
+ "text/plain": [
782
+ "6219674"
783
+ ]
784
+ },
785
+ "execution_count": 21,
786
+ "metadata": {},
787
+ "output_type": "execute_result"
788
+ }
789
+ ],
790
+ "source": [
791
+ "matched_tol_ids = list(tol_manifest.treeoflife_id)\n",
792
+ "\n",
793
+ "reduced_eol_cat = eol_catalog.loc[eol_catalog[\"treeoflife_id\"].isin(matched_tol_ids)]\n",
794
+ "\n",
795
+ "#check we have expected numbers (6,219,674 + 590,730 = 6,810,404, still only 6,219,674 unique)\n",
796
+ "print(reduced_eol_cat.shape)\n",
797
+ "reduced_eol_cat.treeoflife_id.nunique()"
798
+ ]
799
+ },
800
+ {
801
+ "cell_type": "markdown",
802
+ "metadata": {},
803
+ "source": [
804
+ "Looks like we recovered 33 more from the small train set than we expected. These came from the archive recovery (had we merged on `combined_id_archive` instead of `combined_id_full_manifest` in [`links_align_reduced.ipynb`](https://huggingface.co/datasets/imageomics/ToL-EDA/blob/3438fe9a88c0f377a4d8ac4c6c0de796858a08ac/eol_realign/notebooks/links_align_reduced.ipynb), would have seen that difference)."
805
+ ]
806
+ },
807
+ {
808
+ "cell_type": "code",
809
+ "execution_count": 24,
810
+ "metadata": {},
811
+ "outputs": [
812
+ {
813
+ "name": "stdout",
814
+ "output_type": "stream",
815
+ "text": [
816
+ "The BIOSCAN & iNate portion have 4177595 total images, with 3815156 unique entries.\n"
817
+ ]
818
+ }
819
+ ],
820
+ "source": [
821
+ "print(f\"The BIOSCAN & iNate portion have {bin_catalog.shape[0]} total images, with {bin_catalog.treeoflife_id.nunique()} unique entries.\")"
822
+ ]
823
+ },
824
+ {
825
+ "cell_type": "markdown",
826
+ "metadata": {},
827
+ "source": [
828
+ "We have expected 10,034,830 unique entries in the final set, 10,988,032 total entries."
829
+ ]
830
+ },
831
+ {
832
+ "cell_type": "code",
833
+ "execution_count": 25,
834
+ "metadata": {},
835
+ "outputs": [
836
+ {
837
+ "name": "stdout",
838
+ "output_type": "stream",
839
+ "text": [
840
+ "(10988032, 17)\n"
841
+ ]
842
+ },
843
+ {
844
+ "data": {
845
+ "text/plain": [
846
+ "split 3\n",
847
+ "treeoflife_id 10034830\n",
848
+ "eol_content_id 6219674\n",
849
+ "eol_page_id 501807\n",
850
+ "bioscan_part 113\n",
851
+ "bioscan_filename 1128313\n",
852
+ "inat21_filename 2686843\n",
853
+ "inat21_cls_name 10000\n",
854
+ "inat21_cls_num 10000\n",
855
+ "kingdom 12\n",
856
+ "phylum 108\n",
857
+ "class 347\n",
858
+ "order 1495\n",
859
+ "family 7954\n",
860
+ "genus 73687\n",
861
+ "species 163001\n",
862
+ "common 442253\n",
863
+ "dtype: int64"
864
+ ]
865
+ },
866
+ "execution_count": 25,
867
+ "metadata": {},
868
+ "output_type": "execute_result"
869
+ }
870
+ ],
871
+ "source": [
872
+ "updated_catalog = pd.concat([reduced_eol_cat[cat_cols], bin_catalog], ignore_index = True)\n",
873
+ "\n",
874
+ "print(updated_catalog.shape)\n",
875
+ "updated_catalog.nunique()"
876
+ ]
877
+ },
878
+ {
879
+ "cell_type": "markdown",
880
+ "metadata": {},
881
+ "source": [
882
+ "Looks good, precisely as expected. Let's save this to a CSV now."
883
+ ]
884
+ },
885
+ {
886
+ "cell_type": "code",
887
+ "execution_count": 26,
888
+ "metadata": {},
889
+ "outputs": [],
890
+ "source": [
891
+ "updated_catalog.to_csv(TOL_FILEPATH + \"catalog.csv\", index = False)"
892
+ ]
893
+ },
894
+ {
895
+ "cell_type": "code",
896
+ "execution_count": null,
897
+ "metadata": {},
898
+ "outputs": [],
899
+ "source": []
900
+ }
901
+ ],
902
+ "metadata": {
903
+ "jupytext": {
904
+ "formats": "ipynb,py:percent"
905
+ },
906
+ "kernelspec": {
907
+ "display_name": "tol",
908
+ "language": "python",
909
+ "name": "python3"
910
+ },
911
+ "language_info": {
912
+ "codemirror_mode": {
913
+ "name": "ipython",
914
+ "version": 3
915
+ },
916
+ "file_extension": ".py",
917
+ "mimetype": "text/x-python",
918
+ "name": "python",
919
+ "nbconvert_exporter": "python",
920
+ "pygments_lexer": "ipython3",
921
+ "version": "3.11.3"
922
+ }
923
+ },
924
+ "nbformat": 4,
925
+ "nbformat_minor": 2
926
+ }