Upload archive analysis and data for catalog realign
Browse filesWe gained an additional 630 matches over previous attempt. None of the images with mismatched archive-manifest IDs matched.
Total number of images missing metadata is 30,746.
3,734 of these are in the train_small subset.
.gitattributes
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@@ -67,3 +67,4 @@ eol_realign/data/links_inner.csv filter=lfs diff=lfs merge=lfs -text
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eol_realign/data/links_manifest_cargo_on_md5.csv filter=lfs diff=lfs merge=lfs -text
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eol_realign/data/links_cargo_manifest_IDmismatch.csv filter=lfs diff=lfs merge=lfs -text
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eol_realign/data/eol-cargo-archive_combined-manifest-checksums_links.csv filter=lfs diff=lfs merge=lfs -text
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eol_realign/data/links_manifest_cargo_on_md5.csv filter=lfs diff=lfs merge=lfs -text
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eol_realign/data/links_cargo_manifest_IDmismatch.csv filter=lfs diff=lfs merge=lfs -text
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eol_realign/data/eol-cargo-archive_combined-manifest-checksums_links.csv filter=lfs diff=lfs merge=lfs -text
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eol_realign/data/eol-cargo-archive_catalog_combined-manifest-checksums_links.csv filter=lfs diff=lfs merge=lfs -text
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eol_realign/data/eol-cargo-archive_catalog_combined-manifest-checksums_links.csv
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version https://git-lfs.github.com/spec/v1
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oid sha256:fc0cc8d4555ed4cf3e5bba2f0c88339bc605ca30982e427d7288e1eb0e74071e
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size 3921517771
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eol_realign/notebooks/links_align_reduced.ipynb
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"### Read in Links CSV files"
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"links_inner = pd.read_csv(\"../data/
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"links_manifest_cargo = pd.read_csv(\"../data/
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"links_mismatch[[\"
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"catalog = pd.read_csv(\"
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"--- ------ -------------- ----- \n",
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" 0 split
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" 1 treeoflife_id
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"treeoflife_id
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"source": [
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"links_catalog_mismatch = pd.merge(mismatched_catalog,\n",
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" links_mismatch,\n",
|
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" left_on = \"combined_id_catalog\",\n",
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" right_on = \"
|
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"These pages are reasonably full too: [5660435](https://eol.org/pages/5660435)."
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},
|
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{
|
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"cell_type": "code",
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{
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@@ -624,7 +936,7 @@
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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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|
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|
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"source": [
|
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@@ -634,7 +946,7 @@
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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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@@ -643,39 +955,40 @@
|
|
| 643 |
"text": [
|
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"<class 'pandas.core.frame.DataFrame'>\n",
|
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"RangeIndex: 12552 entries, 0 to 12551\n",
|
| 646 |
-
"Data columns (total
|
| 647 |
-
" # Column
|
| 648 |
-
"--- ------
|
| 649 |
-
" 0 rarespecies_id
|
| 650 |
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" 1 eol_content_id_rs
|
| 651 |
-
" 2 eol_page_id_rs
|
| 652 |
-
" 3 kingdom
|
| 653 |
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" 4 phylum
|
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" 5 class
|
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" 6 order
|
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" 7 family
|
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" 8 genus
|
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" 9 species
|
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" 10 sciName
|
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" 11 combined_id_rs
|
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|
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|
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],
|
|
@@ -683,51 +996,52 @@
|
|
| 683 |
"rs_links = pd.merge(rs_catalog,\n",
|
| 684 |
" links_manifest_cargo,\n",
|
| 685 |
" left_on = \"combined_id_rs\",\n",
|
| 686 |
-
" right_on = \"
|
| 687 |
" how = \"inner\")\n",
|
| 688 |
"rs_links.info(show_counts = True)"
|
| 689 |
]
|
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},
|
| 691 |
{
|
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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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"data": {
|
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"text/plain": [
|
| 699 |
-
"rarespecies_id
|
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"eol_content_id_rs
|
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"eol_page_id_rs
|
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"kingdom
|
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"phylum
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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"execution_count":
|
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|
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|
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}
|
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@@ -745,7 +1059,7 @@
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},
|
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{
|
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|
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|
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{
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@@ -754,7 +1068,7 @@
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"11826"
|
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]
|
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"execution_count":
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|
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|
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|
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@@ -766,7 +1080,7 @@
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},
|
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{
|
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-
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|
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|
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{
|
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@@ -778,7 +1092,7 @@
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" '29975068_45509269']"
|
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]
|
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},
|
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"execution_count":
|
| 782 |
"metadata": {},
|
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"output_type": "execute_result"
|
| 784 |
}
|
|
@@ -789,20 +1103,20 @@
|
|
| 789 |
},
|
| 790 |
{
|
| 791 |
"cell_type": "code",
|
| 792 |
-
"execution_count":
|
| 793 |
"metadata": {},
|
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"outputs": [
|
| 795 |
{
|
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"data": {
|
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"text/plain": [
|
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-
"
|
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"
|
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|
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|
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"Name: combined_id_rs, dtype: object"
|
| 803 |
]
|
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},
|
| 805 |
-
"execution_count":
|
| 806 |
"metadata": {},
|
| 807 |
"output_type": "execute_result"
|
| 808 |
}
|
|
@@ -813,7 +1127,7 @@
|
|
| 813 |
},
|
| 814 |
{
|
| 815 |
"cell_type": "code",
|
| 816 |
-
"execution_count":
|
| 817 |
"metadata": {},
|
| 818 |
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|
| 819 |
{
|
|
@@ -849,7 +1163,7 @@
|
|
| 849 |
},
|
| 850 |
{
|
| 851 |
"cell_type": "code",
|
| 852 |
-
"execution_count":
|
| 853 |
"metadata": {},
|
| 854 |
"outputs": [
|
| 855 |
{
|
|
@@ -858,38 +1172,39 @@
|
|
| 858 |
"text": [
|
| 859 |
"<class 'pandas.core.frame.DataFrame'>\n",
|
| 860 |
"RangeIndex: 0 entries\n",
|
| 861 |
-
"Data columns (total
|
| 862 |
-
" # Column
|
| 863 |
-
"--- ------
|
| 864 |
-
" 0 rarespecies_id
|
| 865 |
-
" 1 eol_content_id_rs
|
| 866 |
-
" 2 eol_page_id_rs
|
| 867 |
-
" 3 kingdom
|
| 868 |
-
" 4 phylum
|
| 869 |
-
" 5 class
|
| 870 |
-
" 6 order
|
| 871 |
-
" 7 family
|
| 872 |
-
" 8 genus
|
| 873 |
-
" 9 species
|
| 874 |
-
" 10 sciName
|
| 875 |
-
" 11 combined_id_rs
|
| 876 |
-
" 12
|
| 877 |
-
" 13
|
| 878 |
-
" 14
|
| 879 |
-
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
| 890 |
-
" 26
|
| 891 |
-
" 27
|
| 892 |
-
"
|
|
|
|
| 893 |
"memory usage: 132.0+ bytes\n"
|
| 894 |
]
|
| 895 |
}
|
|
@@ -898,7 +1213,7 @@
|
|
| 898 |
"links_rs_mismatch = pd.merge(mismatched_rs,\n",
|
| 899 |
" links_mismatch,\n",
|
| 900 |
" left_on = \"combined_id_rs\",\n",
|
| 901 |
-
" right_on = \"
|
| 902 |
" how = \"inner\")\n",
|
| 903 |
"links_rs_mismatch.info(show_counts = True)"
|
| 904 |
]
|
|
|
|
| 2 |
"cells": [
|
| 3 |
{
|
| 4 |
"cell_type": "code",
|
| 5 |
+
"execution_count": 1,
|
| 6 |
"metadata": {},
|
| 7 |
"outputs": [],
|
| 8 |
"source": [
|
| 9 |
"import pandas as pd"
|
| 10 |
]
|
| 11 |
},
|
| 12 |
+
{
|
| 13 |
+
"cell_type": "code",
|
| 14 |
+
"execution_count": 2,
|
| 15 |
+
"metadata": {},
|
| 16 |
+
"outputs": [],
|
| 17 |
+
"source": [
|
| 18 |
+
"TOL_FILEPATH = \"../../data/\""
|
| 19 |
+
]
|
| 20 |
+
},
|
| 21 |
{
|
| 22 |
"cell_type": "markdown",
|
| 23 |
"metadata": {},
|
| 24 |
"source": [
|
| 25 |
+
"### Read in Links CSV files\n",
|
| 26 |
+
"\n",
|
| 27 |
+
"Full cargo archives have some more content than the [original `links_inner` file](https://huggingface.co/datasets/imageomics/ToL-EDA/blob/fa08e0f6692a013e4e4f5ca30dd0e8883c0021d8/eol_realign/data/links_inner.csv) and the [original `links_manifest_cargo_on_md5.csv`](https://huggingface.co/datasets/imageomics/ToL-EDA/blob/fa08e0f6692a013e4e4f5ca30dd0e8883c0021d8/eol_realign/data/links_manifest_cargo_on_md5.csv).\n",
|
| 28 |
+
"\n",
|
| 29 |
+
"From Matt:\n",
|
| 30 |
+
"> It represents a series of inner merges:\n",
|
| 31 |
+
"> 1. The list of images in the EOL cargo archive (used to create the webdatasets) with the EOL portion of `catalog.csv`\n",
|
| 32 |
+
"> - Merged on a combined identifier of `eol_content_id` and `eol_page_id`.\n",
|
| 33 |
+
"> Result from 1) with the list of images redownloaded from all 3 media manifests we touched around the original download time (identified [here](https://huggingface.co/datasets/imageomics/ToL-EDA/discussions/5#6584808d92eba5ad69b8379f)).\n",
|
| 34 |
+
"> - Merged on MD5\n",
|
| 35 |
+
">\n",
|
| 36 |
+
"> The result has 6,219,674 unique `treeoflife_id` entries and 6,146,917 unique `md5` entries. It has the combined `eol_content_id` and `eol_page_id` identifiers used at each stage:\n",
|
| 37 |
+
"- `combined_id_catalog`: represents what's in the original catalog \n",
|
| 38 |
+
"- `combined_id_manifest_full_manifest`: represents what's in the combined manifest from all 3 dates \n",
|
| 39 |
+
"> It also has an indicator of which of the three media manifest files each entry was present in (one or more) in columns representing retreival date (eg., `source_0706`: indicates if it was present in the manifest retrieved on July 6, 2023). It also has the copyright owner and license information as contained in the media manifest files.\n",
|
| 40 |
+
">\n",
|
| 41 |
+
"> Still needs to be run through the owner name finding code. ([owner_match](https://huggingface.co/datasets/imageomics/ToL-EDA/blob/71ad5b49226a3a49634931005eeb340b3c96db13/scripts/match_owners.py) --note: this version uses inner merges, so will remove entries without media info. Probably should adjust this.)\n",
|
| 42 |
+
"\n",
|
| 43 |
+
"For reference on the numbers, there are 6,250,420 EOL images in TreeOfLife-10M (the catalog). Comparing with `links_inner` previously (from [`links_inner.csv`](https://huggingface.co/datasets/imageomics/ToL-EDA/blob/fa08e0f6692a013e4e4f5ca30dd0e8883c0021d8/eol_realign/data/links_inner.csv)) we were missing 31,376 images, 29 of which were identified in [`links_manifest_cargo_on_md5.csv`](https://huggingface.co/datasets/imageomics/ToL-EDA/blob/fa08e0f6692a013e4e4f5ca30dd0e8883c0021d8/eol_realign/data/links_manifest_cargo_on_md5.csv)."
|
| 44 |
]
|
| 45 |
},
|
| 46 |
{
|
|
|
|
| 49 |
"metadata": {},
|
| 50 |
"outputs": [],
|
| 51 |
"source": [
|
| 52 |
+
"links_inner = pd.read_csv(\"../data/eol-cargo-archive_catalog_combined-manifest-checksums_links.csv\", low_memory=False)\n",
|
| 53 |
+
"links_manifest_cargo = pd.read_csv(\"../data/eol-cargo-archive_combined-manifest-checksums_links.csv\", low_memory=False)"
|
| 54 |
]
|
| 55 |
},
|
| 56 |
{
|
|
|
|
| 63 |
"output_type": "stream",
|
| 64 |
"text": [
|
| 65 |
"<class 'pandas.core.frame.DataFrame'>\n",
|
| 66 |
+
"RangeIndex: 6841202 entries, 0 to 6841201\n",
|
| 67 |
+
"Data columns (total 30 columns):\n",
|
| 68 |
+
" # Column Non-Null Count Dtype \n",
|
| 69 |
+
"--- ------ -------------- ----- \n",
|
| 70 |
+
" 0 filename_archive 6841202 non-null object \n",
|
| 71 |
+
" 1 md5 6841202 non-null object \n",
|
| 72 |
+
" 2 combined_id_archive 6841202 non-null object \n",
|
| 73 |
+
" 3 split 6841202 non-null object \n",
|
| 74 |
+
" 4 treeoflife_id 6841202 non-null object \n",
|
| 75 |
+
" 5 bioscan_part 0 non-null float64\n",
|
| 76 |
+
" 6 bioscan_filename 0 non-null float64\n",
|
| 77 |
+
" 7 inat21_filename 0 non-null float64\n",
|
| 78 |
+
" 8 inat21_cls_name 0 non-null float64\n",
|
| 79 |
+
" 9 inat21_cls_num 0 non-null float64\n",
|
| 80 |
+
" 10 kingdom 6551473 non-null object \n",
|
| 81 |
+
" 11 phylum 6553206 non-null object \n",
|
| 82 |
+
" 12 class 6532009 non-null object \n",
|
| 83 |
+
" 13 order 6525621 non-null object \n",
|
| 84 |
+
" 14 family 6506076 non-null object \n",
|
| 85 |
+
" 15 genus 6486130 non-null object \n",
|
| 86 |
+
" 16 species 6406307 non-null object \n",
|
| 87 |
+
" 17 common 6841202 non-null object \n",
|
| 88 |
+
" 18 combined_id_catalog 6841202 non-null object \n",
|
| 89 |
+
" 19 filename_manifest 6841202 non-null object \n",
|
| 90 |
+
" 20 combined_id_manifest_redownload 6841202 non-null object \n",
|
| 91 |
+
" 21 medium_source_url 6841202 non-null object \n",
|
| 92 |
+
" 22 eol_full_size_copy_url 6841202 non-null object \n",
|
| 93 |
+
" 23 license_name 6841202 non-null object \n",
|
| 94 |
+
" 24 copyright_owner 6208498 non-null object \n",
|
| 95 |
+
" 25 expected_image_filename 6841202 non-null object \n",
|
| 96 |
+
" 26 source_0706 6841202 non-null bool \n",
|
| 97 |
+
" 27 source_0726 6841202 non-null bool \n",
|
| 98 |
+
" 28 source_1206 6841202 non-null bool \n",
|
| 99 |
+
" 29 combined_id_full_manifest 6841202 non-null object \n",
|
| 100 |
+
"dtypes: bool(3), float64(5), object(22)\n",
|
| 101 |
+
"memory usage: 1.4+ GB\n"
|
|
|
|
|
|
|
|
|
|
|
|
|
| 102 |
]
|
| 103 |
}
|
| 104 |
],
|
|
|
|
| 116 |
"output_type": "stream",
|
| 117 |
"text": [
|
| 118 |
"<class 'pandas.core.frame.DataFrame'>\n",
|
| 119 |
+
"RangeIndex: 7514001 entries, 0 to 7514000\n",
|
| 120 |
+
"Data columns (total 17 columns):\n",
|
| 121 |
+
" # Column Non-Null Count Dtype \n",
|
| 122 |
+
"--- ------ -------------- ----- \n",
|
| 123 |
+
" 0 filename_archive 7514001 non-null object\n",
|
| 124 |
+
" 1 md5_archive 7514001 non-null object\n",
|
| 125 |
+
" 2 combined_id_archive 7514001 non-null object\n",
|
| 126 |
+
" 3 filename_manifest 7514001 non-null object\n",
|
| 127 |
+
" 4 md5_combined_manifest 7514001 non-null object\n",
|
| 128 |
+
" 5 combined_id_manifest_redownload 7514001 non-null object\n",
|
| 129 |
+
" 6 eol_content_id 7514001 non-null int64 \n",
|
| 130 |
+
" 7 eol_page_id 7514001 non-null int64 \n",
|
| 131 |
+
" 8 medium_source_url 7514001 non-null object\n",
|
| 132 |
+
" 9 eol_full_size_copy_url 7514001 non-null object\n",
|
| 133 |
+
" 10 license_name 7514001 non-null object\n",
|
| 134 |
+
" 11 copyright_owner 6860825 non-null object\n",
|
| 135 |
+
" 12 expected_image_filename 7514001 non-null object\n",
|
| 136 |
+
" 13 source_0706 7514001 non-null bool \n",
|
| 137 |
+
" 14 source_0726 7514001 non-null bool \n",
|
| 138 |
+
" 15 source_1206 7514001 non-null bool \n",
|
| 139 |
+
" 16 combined_id_full_manifest 7514001 non-null object\n",
|
| 140 |
+
"dtypes: bool(3), int64(2), object(12)\n",
|
| 141 |
+
"memory usage: 824.1+ MB\n"
|
| 142 |
]
|
| 143 |
}
|
| 144 |
],
|
|
|
|
| 146 |
"links_manifest_cargo.info(show_counts=True)"
|
| 147 |
]
|
| 148 |
},
|
| 149 |
+
{
|
| 150 |
+
"cell_type": "markdown",
|
| 151 |
+
"metadata": {},
|
| 152 |
+
"source": [
|
| 153 |
+
"These both have about 600-700 more entries than the earlier files."
|
| 154 |
+
]
|
| 155 |
+
},
|
| 156 |
{
|
| 157 |
"cell_type": "code",
|
| 158 |
"execution_count": 6,
|
| 159 |
"metadata": {},
|
| 160 |
+
"outputs": [
|
| 161 |
+
{
|
| 162 |
+
"data": {
|
| 163 |
+
"text/html": [
|
| 164 |
+
"<div>\n",
|
| 165 |
+
"<style scoped>\n",
|
| 166 |
+
" .dataframe tbody tr th:only-of-type {\n",
|
| 167 |
+
" vertical-align: middle;\n",
|
| 168 |
+
" }\n",
|
| 169 |
+
"\n",
|
| 170 |
+
" .dataframe tbody tr th {\n",
|
| 171 |
+
" vertical-align: top;\n",
|
| 172 |
+
" }\n",
|
| 173 |
+
"\n",
|
| 174 |
+
" .dataframe thead th {\n",
|
| 175 |
+
" text-align: right;\n",
|
| 176 |
+
" }\n",
|
| 177 |
+
"</style>\n",
|
| 178 |
+
"<table border=\"1\" class=\"dataframe\">\n",
|
| 179 |
+
" <thead>\n",
|
| 180 |
+
" <tr style=\"text-align: right;\">\n",
|
| 181 |
+
" <th></th>\n",
|
| 182 |
+
" <th>filename_archive</th>\n",
|
| 183 |
+
" <th>md5_archive</th>\n",
|
| 184 |
+
" <th>combined_id_archive</th>\n",
|
| 185 |
+
" <th>filename_manifest</th>\n",
|
| 186 |
+
" <th>md5_combined_manifest</th>\n",
|
| 187 |
+
" <th>combined_id_manifest_redownload</th>\n",
|
| 188 |
+
" <th>eol_content_id</th>\n",
|
| 189 |
+
" <th>eol_page_id</th>\n",
|
| 190 |
+
" <th>medium_source_url</th>\n",
|
| 191 |
+
" <th>eol_full_size_copy_url</th>\n",
|
| 192 |
+
" <th>license_name</th>\n",
|
| 193 |
+
" <th>copyright_owner</th>\n",
|
| 194 |
+
" <th>expected_image_filename</th>\n",
|
| 195 |
+
" <th>source_0706</th>\n",
|
| 196 |
+
" <th>source_0726</th>\n",
|
| 197 |
+
" <th>source_1206</th>\n",
|
| 198 |
+
" <th>combined_id_full_manifest</th>\n",
|
| 199 |
+
" </tr>\n",
|
| 200 |
+
" </thead>\n",
|
| 201 |
+
" <tbody>\n",
|
| 202 |
+
" </tbody>\n",
|
| 203 |
+
"</table>\n",
|
| 204 |
+
"</div>"
|
| 205 |
+
],
|
| 206 |
+
"text/plain": [
|
| 207 |
+
"Empty DataFrame\n",
|
| 208 |
+
"Columns: [filename_archive, md5_archive, combined_id_archive, filename_manifest, md5_combined_manifest, combined_id_manifest_redownload, eol_content_id, eol_page_id, medium_source_url, eol_full_size_copy_url, license_name, copyright_owner, expected_image_filename, source_0706, source_0726, source_1206, combined_id_full_manifest]\n",
|
| 209 |
+
"Index: []"
|
| 210 |
+
]
|
| 211 |
+
},
|
| 212 |
+
"execution_count": 6,
|
| 213 |
+
"metadata": {},
|
| 214 |
+
"output_type": "execute_result"
|
| 215 |
+
}
|
| 216 |
+
],
|
| 217 |
+
"source": [
|
| 218 |
+
"# These should be the same\n",
|
| 219 |
+
"links_manifest_cargo.loc[links_manifest_cargo[\"combined_id_manifest_redownload\"] != links_manifest_cargo[\"combined_id_full_manifest\"]]"
|
| 220 |
+
]
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"cell_type": "code",
|
| 224 |
+
"execution_count": 7,
|
| 225 |
+
"metadata": {},
|
| 226 |
"outputs": [
|
| 227 |
{
|
| 228 |
"name": "stdout",
|
| 229 |
"output_type": "stream",
|
| 230 |
"text": [
|
| 231 |
"<class 'pandas.core.frame.DataFrame'>\n",
|
| 232 |
+
"Index: 822558 entries, 2 to 7513999\n",
|
| 233 |
+
"Data columns (total 17 columns):\n",
|
| 234 |
+
" # Column Non-Null Count Dtype \n",
|
| 235 |
+
"--- ------ -------------- ----- \n",
|
| 236 |
+
" 0 filename_archive 822558 non-null object\n",
|
| 237 |
+
" 1 md5_archive 822558 non-null object\n",
|
| 238 |
+
" 2 combined_id_archive 822558 non-null object\n",
|
| 239 |
+
" 3 filename_manifest 822558 non-null object\n",
|
| 240 |
+
" 4 md5_combined_manifest 822558 non-null object\n",
|
| 241 |
+
" 5 combined_id_manifest_redownload 822558 non-null object\n",
|
| 242 |
+
" 6 eol_content_id 822558 non-null int64 \n",
|
| 243 |
+
" 7 eol_page_id 822558 non-null int64 \n",
|
| 244 |
+
" 8 medium_source_url 822558 non-null object\n",
|
| 245 |
+
" 9 eol_full_size_copy_url 822558 non-null object\n",
|
| 246 |
+
" 10 license_name 822558 non-null object\n",
|
| 247 |
+
" 11 copyright_owner 797147 non-null object\n",
|
| 248 |
+
" 12 expected_image_filename 822558 non-null object\n",
|
| 249 |
+
" 13 source_0706 822558 non-null bool \n",
|
| 250 |
+
" 14 source_0726 822558 non-null bool \n",
|
| 251 |
+
" 15 source_1206 822558 non-null bool \n",
|
| 252 |
+
" 16 combined_id_full_manifest 822558 non-null object\n",
|
| 253 |
+
"dtypes: bool(3), int64(2), object(12)\n",
|
| 254 |
+
"memory usage: 96.5+ MB\n"
|
| 255 |
]
|
| 256 |
}
|
| 257 |
],
|
| 258 |
"source": [
|
| 259 |
+
"# archive has replaced cargo\n",
|
| 260 |
+
"# full manifest or manifest redownload to replace manifest checksums -- they are equal\n",
|
| 261 |
+
"links_mismatch = links_manifest_cargo.loc[links_manifest_cargo[\"combined_id_archive\"] != links_manifest_cargo[\"combined_id_full_manifest\"]]\n",
|
| 262 |
"links_mismatch.info(show_counts = True)"
|
| 263 |
]
|
| 264 |
},
|
| 265 |
+
{
|
| 266 |
+
"cell_type": "markdown",
|
| 267 |
+
"metadata": {},
|
| 268 |
+
"source": [
|
| 269 |
+
"There are 42 more mismatched entries. Only 13 additional unique images (MD5s)."
|
| 270 |
+
]
|
| 271 |
+
},
|
| 272 |
{
|
| 273 |
"cell_type": "code",
|
| 274 |
+
"execution_count": 9,
|
| 275 |
"metadata": {},
|
| 276 |
"outputs": [
|
| 277 |
{
|
| 278 |
"data": {
|
| 279 |
"text/plain": [
|
| 280 |
+
"md5_archive 624574\n",
|
| 281 |
+
"combined_id_full_manifest 712540\n",
|
| 282 |
+
"combined_id_archive 703446\n",
|
| 283 |
"dtype: int64"
|
| 284 |
]
|
| 285 |
},
|
| 286 |
+
"execution_count": 9,
|
| 287 |
"metadata": {},
|
| 288 |
"output_type": "execute_result"
|
| 289 |
}
|
| 290 |
],
|
| 291 |
"source": [
|
| 292 |
+
"links_mismatch[[\"md5_archive\", \"combined_id_full_manifest\", \"combined_id_archive\"]].nunique()"
|
| 293 |
]
|
| 294 |
},
|
| 295 |
{
|
| 296 |
"cell_type": "code",
|
| 297 |
+
"execution_count": 10,
|
| 298 |
"metadata": {},
|
| 299 |
"outputs": [],
|
| 300 |
"source": [
|
| 301 |
+
"# This is archive manifest mismatch\n",
|
| 302 |
+
"links_mismatch.to_csv(\"../data/links_archive_manifest_IDmismatch.csv\", index = False)"
|
| 303 |
]
|
| 304 |
},
|
| 305 |
{
|
| 306 |
"cell_type": "code",
|
| 307 |
+
"execution_count": 11,
|
| 308 |
"metadata": {},
|
| 309 |
"outputs": [],
|
| 310 |
"source": [
|
| 311 |
+
"catalog = pd.read_csv(TOL_FILEPATH + \"catalog.csv\", low_memory=False)"
|
| 312 |
]
|
| 313 |
},
|
| 314 |
{
|
| 315 |
"cell_type": "code",
|
| 316 |
+
"execution_count": 12,
|
| 317 |
"metadata": {},
|
| 318 |
"outputs": [],
|
| 319 |
"source": [
|
|
|
|
| 324 |
},
|
| 325 |
{
|
| 326 |
"cell_type": "code",
|
| 327 |
+
"execution_count": 13,
|
| 328 |
"metadata": {},
|
| 329 |
"outputs": [
|
| 330 |
{
|
|
|
|
| 337 |
"dtype: int64"
|
| 338 |
]
|
| 339 |
},
|
| 340 |
+
"execution_count": 13,
|
| 341 |
"metadata": {},
|
| 342 |
"output_type": "execute_result"
|
| 343 |
}
|
|
|
|
| 348 |
},
|
| 349 |
{
|
| 350 |
"cell_type": "code",
|
| 351 |
+
"execution_count": 14,
|
| 352 |
"metadata": {},
|
| 353 |
"outputs": [],
|
| 354 |
"source": [
|
|
|
|
| 357 |
},
|
| 358 |
{
|
| 359 |
"cell_type": "code",
|
| 360 |
+
"execution_count": 15,
|
| 361 |
"metadata": {},
|
| 362 |
"outputs": [
|
| 363 |
{
|
|
|
|
| 400 |
},
|
| 401 |
{
|
| 402 |
"cell_type": "code",
|
| 403 |
+
"execution_count": 16,
|
| 404 |
"metadata": {},
|
| 405 |
"outputs": [
|
| 406 |
{
|
|
|
|
| 428 |
},
|
| 429 |
{
|
| 430 |
"cell_type": "code",
|
| 431 |
+
"execution_count": 17,
|
| 432 |
"metadata": {
|
| 433 |
"lines_to_next_cell": 2
|
| 434 |
},
|
|
|
|
| 441 |
},
|
| 442 |
{
|
| 443 |
"cell_type": "code",
|
| 444 |
+
"execution_count": 18,
|
| 445 |
"metadata": {},
|
| 446 |
"outputs": [
|
| 447 |
{
|
| 448 |
"data": {
|
| 449 |
"text/plain": [
|
| 450 |
+
"6219674"
|
| 451 |
]
|
| 452 |
},
|
| 453 |
+
"execution_count": 18,
|
| 454 |
"metadata": {},
|
| 455 |
"output_type": "execute_result"
|
| 456 |
}
|
|
|
|
| 460 |
"len(matched_catalog_ids)"
|
| 461 |
]
|
| 462 |
},
|
| 463 |
+
{
|
| 464 |
+
"cell_type": "markdown",
|
| 465 |
+
"metadata": {},
|
| 466 |
+
"source": [
|
| 467 |
+
"Here we go, we got an additional 630 matched IDs!"
|
| 468 |
+
]
|
| 469 |
+
},
|
| 470 |
{
|
| 471 |
"cell_type": "code",
|
| 472 |
+
"execution_count": 19,
|
| 473 |
"metadata": {},
|
| 474 |
"outputs": [
|
| 475 |
{
|
| 476 |
"data": {
|
| 477 |
"text/plain": [
|
| 478 |
+
"['29538374_65414274',\n",
|
| 479 |
+
" '27793900_888015',\n",
|
| 480 |
+
" '29121641_5618956',\n",
|
| 481 |
+
" '27596176_607817',\n",
|
| 482 |
+
" '20300703_267922']"
|
| 483 |
]
|
| 484 |
},
|
| 485 |
+
"execution_count": 19,
|
| 486 |
"metadata": {},
|
| 487 |
"output_type": "execute_result"
|
| 488 |
}
|
|
|
|
| 495 |
"cell_type": "markdown",
|
| 496 |
"metadata": {},
|
| 497 |
"source": [
|
| 498 |
+
"We still have about 30K unmatched (as shown below, it's down to 30,746 from 31,376), let's find those in the catalog and then we'll try to merge with our mismatched cargo & manifest."
|
| 499 |
]
|
| 500 |
},
|
| 501 |
{
|
| 502 |
"cell_type": "code",
|
| 503 |
+
"execution_count": 20,
|
| 504 |
"metadata": {},
|
| 505 |
"outputs": [
|
| 506 |
{
|
| 507 |
"data": {
|
| 508 |
"text/plain": [
|
| 509 |
+
"5842839 28875844_579175\n",
|
| 510 |
+
"7715090 21712402_702458\n",
|
| 511 |
+
"10112940 27938371_3091824\n",
|
| 512 |
+
"8606944 27597441_49820955\n",
|
| 513 |
+
"1247592 14852900_2896866\n",
|
| 514 |
"Name: combined_id_catalog, dtype: object"
|
| 515 |
]
|
| 516 |
},
|
| 517 |
+
"execution_count": 20,
|
| 518 |
"metadata": {},
|
| 519 |
"output_type": "execute_result"
|
| 520 |
}
|
|
|
|
| 525 |
},
|
| 526 |
{
|
| 527 |
"cell_type": "code",
|
| 528 |
+
"execution_count": 21,
|
| 529 |
"metadata": {},
|
| 530 |
"outputs": [
|
| 531 |
{
|
|
|
|
| 533 |
"output_type": "stream",
|
| 534 |
"text": [
|
| 535 |
"<class 'pandas.core.frame.DataFrame'>\n",
|
| 536 |
+
"Index: 30746 entries, 956874 to 10996978\n",
|
| 537 |
"Data columns (total 13 columns):\n",
|
| 538 |
" # Column Non-Null Count Dtype \n",
|
| 539 |
"--- ------ -------------- ----- \n",
|
| 540 |
+
" 0 split 30746 non-null object\n",
|
| 541 |
+
" 1 treeoflife_id 30746 non-null object\n",
|
| 542 |
+
" 2 eol_content_id_catalog 30746 non-null int64 \n",
|
| 543 |
+
" 3 eol_page_id_catalog 30746 non-null int64 \n",
|
| 544 |
+
" 4 kingdom 30573 non-null object\n",
|
| 545 |
+
" 5 phylum 30578 non-null object\n",
|
| 546 |
+
" 6 class 30153 non-null object\n",
|
| 547 |
+
" 7 order 30528 non-null object\n",
|
| 548 |
+
" 8 family 30294 non-null object\n",
|
| 549 |
+
" 9 genus 30192 non-null object\n",
|
| 550 |
+
" 10 species 29399 non-null object\n",
|
| 551 |
+
" 11 common 30746 non-null object\n",
|
| 552 |
+
" 12 combined_id_catalog 30746 non-null object\n",
|
| 553 |
"dtypes: int64(2), object(11)\n",
|
| 554 |
+
"memory usage: 3.3+ MB\n"
|
| 555 |
]
|
| 556 |
}
|
| 557 |
],
|
|
|
|
| 562 |
},
|
| 563 |
{
|
| 564 |
"cell_type": "code",
|
| 565 |
+
"execution_count": 22,
|
| 566 |
"metadata": {},
|
| 567 |
"outputs": [
|
| 568 |
{
|
| 569 |
"data": {
|
| 570 |
"text/plain": [
|
| 571 |
"split 2\n",
|
| 572 |
+
"treeoflife_id 30746\n",
|
| 573 |
+
"eol_content_id_catalog 30746\n",
|
| 574 |
+
"eol_page_id_catalog 7042\n",
|
| 575 |
"kingdom 7\n",
|
| 576 |
"phylum 33\n",
|
| 577 |
+
"class 87\n",
|
| 578 |
+
"order 355\n",
|
| 579 |
+
"family 1165\n",
|
| 580 |
+
"genus 3503\n",
|
| 581 |
+
"species 5174\n",
|
| 582 |
+
"common 6884\n",
|
| 583 |
+
"combined_id_catalog 30746\n",
|
| 584 |
"dtype: int64"
|
| 585 |
]
|
| 586 |
},
|
| 587 |
+
"execution_count": 22,
|
| 588 |
"metadata": {},
|
| 589 |
"output_type": "execute_result"
|
| 590 |
}
|
|
|
|
| 597 |
"cell_type": "markdown",
|
| 598 |
"metadata": {},
|
| 599 |
"source": [
|
| 600 |
+
"Seems one class got resolved (equals more orders and down)."
|
| 601 |
+
]
|
| 602 |
+
},
|
| 603 |
+
{
|
| 604 |
+
"cell_type": "markdown",
|
| 605 |
+
"metadata": {},
|
| 606 |
+
"source": [
|
| 607 |
+
"## Merge with Mismatched CargoArchive-Manifest\n",
|
| 608 |
"\n",
|
| 609 |
+
"let's merge with `links_mismatch` to see if the mismatched archive and manifest combined IDs can be linked up."
|
| 610 |
]
|
| 611 |
},
|
| 612 |
{
|
| 613 |
"cell_type": "code",
|
| 614 |
+
"execution_count": 23,
|
| 615 |
"metadata": {},
|
| 616 |
"outputs": [
|
| 617 |
{
|
|
|
|
| 619 |
"output_type": "stream",
|
| 620 |
"text": [
|
| 621 |
"<class 'pandas.core.frame.DataFrame'>\n",
|
| 622 |
+
"RangeIndex: 0 entries\n",
|
| 623 |
+
"Data columns (total 30 columns):\n",
|
| 624 |
+
" # Column Non-Null Count Dtype \n",
|
| 625 |
+
"--- ------ -------------- ----- \n",
|
| 626 |
+
" 0 split 0 non-null object\n",
|
| 627 |
+
" 1 treeoflife_id 0 non-null object\n",
|
| 628 |
+
" 2 eol_content_id_catalog 0 non-null int64 \n",
|
| 629 |
+
" 3 eol_page_id_catalog 0 non-null int64 \n",
|
| 630 |
+
" 4 kingdom 0 non-null object\n",
|
| 631 |
+
" 5 phylum 0 non-null object\n",
|
| 632 |
+
" 6 class 0 non-null object\n",
|
| 633 |
+
" 7 order 0 non-null object\n",
|
| 634 |
+
" 8 family 0 non-null object\n",
|
| 635 |
+
" 9 genus 0 non-null object\n",
|
| 636 |
+
" 10 species 0 non-null object\n",
|
| 637 |
+
" 11 common 0 non-null object\n",
|
| 638 |
+
" 12 combined_id_catalog 0 non-null object\n",
|
| 639 |
+
" 13 filename_archive 0 non-null object\n",
|
| 640 |
+
" 14 md5_archive 0 non-null object\n",
|
| 641 |
+
" 15 combined_id_archive 0 non-null object\n",
|
| 642 |
+
" 16 filename_manifest 0 non-null object\n",
|
| 643 |
+
" 17 md5_combined_manifest 0 non-null object\n",
|
| 644 |
+
" 18 combined_id_manifest_redownload 0 non-null object\n",
|
| 645 |
+
" 19 eol_content_id 0 non-null int64 \n",
|
| 646 |
+
" 20 eol_page_id 0 non-null int64 \n",
|
| 647 |
+
" 21 medium_source_url 0 non-null object\n",
|
| 648 |
+
" 22 eol_full_size_copy_url 0 non-null object\n",
|
| 649 |
+
" 23 license_name 0 non-null object\n",
|
| 650 |
+
" 24 copyright_owner 0 non-null object\n",
|
| 651 |
+
" 25 expected_image_filename 0 non-null object\n",
|
| 652 |
+
" 26 source_0706 0 non-null bool \n",
|
| 653 |
+
" 27 source_0726 0 non-null bool \n",
|
| 654 |
+
" 28 source_1206 0 non-null bool \n",
|
| 655 |
+
" 29 combined_id_full_manifest 0 non-null object\n",
|
| 656 |
+
"dtypes: bool(3), int64(4), object(23)\n",
|
| 657 |
+
"memory usage: 132.0+ bytes\n"
|
| 658 |
]
|
| 659 |
}
|
| 660 |
],
|
| 661 |
"source": [
|
| 662 |
+
"# replace manifest checksums with full manifest as above\n",
|
| 663 |
"links_catalog_mismatch = pd.merge(mismatched_catalog,\n",
|
| 664 |
" links_mismatch,\n",
|
| 665 |
" left_on = \"combined_id_catalog\",\n",
|
| 666 |
+
" right_on = \"combined_id_full_manifest\",\n",
|
| 667 |
" how = \"inner\")\n",
|
| 668 |
"links_catalog_mismatch.info(show_counts = True)"
|
| 669 |
]
|
| 670 |
},
|
| 671 |
+
{
|
| 672 |
+
"cell_type": "markdown",
|
| 673 |
+
"metadata": {},
|
| 674 |
+
"source": [
|
| 675 |
+
"Now there's no gain from the mismatch file, but that was only 29 images, so we've captured them from the archive (plus more!)."
|
| 676 |
+
]
|
| 677 |
+
},
|
| 678 |
{
|
| 679 |
"cell_type": "code",
|
| 680 |
+
"execution_count": 24,
|
| 681 |
"metadata": {},
|
| 682 |
"outputs": [
|
| 683 |
{
|
| 684 |
"data": {
|
| 685 |
"text/plain": [
|
| 686 |
+
"2003559 15270321_240065\n",
|
| 687 |
+
"8751466 29485627_17806\n",
|
| 688 |
+
"4818957 27965287_35726\n",
|
| 689 |
+
"8697796 9483753_328724\n",
|
| 690 |
+
"1049389 9446784_5019858\n",
|
| 691 |
+
"8364678 9467133_2925218\n",
|
| 692 |
+
"5119903 28880812_10305215\n",
|
| 693 |
"Name: combined_id_catalog, dtype: object"
|
| 694 |
]
|
| 695 |
},
|
| 696 |
+
"execution_count": 24,
|
| 697 |
"metadata": {},
|
| 698 |
"output_type": "execute_result"
|
| 699 |
}
|
|
|
|
| 709 |
"These pages are reasonably full too: [5660435](https://eol.org/pages/5660435)."
|
| 710 |
]
|
| 711 |
},
|
| 712 |
+
{
|
| 713 |
+
"cell_type": "markdown",
|
| 714 |
+
"metadata": {},
|
| 715 |
+
"source": [
|
| 716 |
+
"### Final Catalog\n",
|
| 717 |
+
"\n",
|
| 718 |
+
"Our final EOL catalog is thus going to be the `treeoflife_id`s in `links_inner`.\n",
|
| 719 |
+
"\n",
|
| 720 |
+
"Finall question is just how does this look for our `train_small`?"
|
| 721 |
+
]
|
| 722 |
+
},
|
| 723 |
+
{
|
| 724 |
+
"cell_type": "code",
|
| 725 |
+
"execution_count": 34,
|
| 726 |
+
"metadata": {},
|
| 727 |
+
"outputs": [
|
| 728 |
+
{
|
| 729 |
+
"name": "stdout",
|
| 730 |
+
"output_type": "stream",
|
| 731 |
+
"text": [
|
| 732 |
+
"<class 'pandas.core.frame.DataFrame'>\n",
|
| 733 |
+
"Index: 593764 entries, 0 to 918500\n",
|
| 734 |
+
"Data columns (total 12 columns):\n",
|
| 735 |
+
" # Column Non-Null Count Dtype \n",
|
| 736 |
+
"--- ------ -------------- ----- \n",
|
| 737 |
+
" 0 split 593764 non-null object \n",
|
| 738 |
+
" 1 treeoflife_id 593764 non-null object \n",
|
| 739 |
+
" 2 eol_content_id 593764 non-null float64\n",
|
| 740 |
+
" 3 eol_page_id 593764 non-null float64\n",
|
| 741 |
+
" 4 kingdom 569128 non-null object \n",
|
| 742 |
+
" 5 phylum 569285 non-null object \n",
|
| 743 |
+
" 6 class 567356 non-null object \n",
|
| 744 |
+
" 7 order 566839 non-null object \n",
|
| 745 |
+
" 8 family 565269 non-null object \n",
|
| 746 |
+
" 9 genus 564605 non-null object \n",
|
| 747 |
+
" 10 species 565399 non-null object \n",
|
| 748 |
+
" 11 common 593764 non-null object \n",
|
| 749 |
+
"dtypes: float64(2), object(10)\n",
|
| 750 |
+
"memory usage: 58.9+ MB\n"
|
| 751 |
+
]
|
| 752 |
+
}
|
| 753 |
+
],
|
| 754 |
+
"source": [
|
| 755 |
+
"cat_2 = pd.read_csv(TOL_FILEPATH + \"catalog.csv\", low_memory=False)\n",
|
| 756 |
+
"\n",
|
| 757 |
+
"# reduce to just train_small and all non-EOL entries\n",
|
| 758 |
+
"cat_2 = cat_2.loc[cat_2.split == \"train_small\"]\n",
|
| 759 |
+
"eol_cat_2 = cat_2.loc[cat_2.eol_content_id.notna()]\n",
|
| 760 |
+
"\n",
|
| 761 |
+
"eol_cat_2 = eol_cat_2[eol_cols]\n",
|
| 762 |
+
"eol_cat_2.info(show_counts=True)"
|
| 763 |
+
]
|
| 764 |
+
},
|
| 765 |
+
{
|
| 766 |
+
"cell_type": "markdown",
|
| 767 |
+
"metadata": {},
|
| 768 |
+
"source": [
|
| 769 |
+
"So `train_small` has 593,764 images from EOL. \n",
|
| 770 |
+
"\n",
|
| 771 |
+
"Let's recast IDs as ints to match up with `links_inner` and check we have info for all of them."
|
| 772 |
+
]
|
| 773 |
+
},
|
| 774 |
+
{
|
| 775 |
+
"cell_type": "code",
|
| 776 |
+
"execution_count": 35,
|
| 777 |
+
"metadata": {},
|
| 778 |
+
"outputs": [
|
| 779 |
+
{
|
| 780 |
+
"name": "stdout",
|
| 781 |
+
"output_type": "stream",
|
| 782 |
+
"text": [
|
| 783 |
+
"<class 'pandas.core.frame.DataFrame'>\n",
|
| 784 |
+
"Index: 593764 entries, 0 to 918500\n",
|
| 785 |
+
"Data columns (total 4 columns):\n",
|
| 786 |
+
" # Column Non-Null Count Dtype \n",
|
| 787 |
+
"--- ------ -------------- ----- \n",
|
| 788 |
+
" 0 split 593764 non-null object\n",
|
| 789 |
+
" 1 treeoflife_id 593764 non-null object\n",
|
| 790 |
+
" 2 eol_content_id 593764 non-null int64 \n",
|
| 791 |
+
" 3 eol_page_id 593764 non-null int64 \n",
|
| 792 |
+
"dtypes: int64(2), object(2)\n",
|
| 793 |
+
"memory usage: 22.7+ MB\n"
|
| 794 |
+
]
|
| 795 |
+
}
|
| 796 |
+
],
|
| 797 |
+
"source": [
|
| 798 |
+
"eol_cat_2 = eol_cat_2.astype({\"eol_content_id\": \"int64\", \"eol_page_id\": \"int64\"})\n",
|
| 799 |
+
"eol_cat_2[eol_cols[:4]].info()"
|
| 800 |
+
]
|
| 801 |
+
},
|
| 802 |
+
{
|
| 803 |
+
"cell_type": "code",
|
| 804 |
+
"execution_count": 36,
|
| 805 |
+
"metadata": {},
|
| 806 |
+
"outputs": [],
|
| 807 |
+
"source": [
|
| 808 |
+
"# make combined ID for catalog and add suffix to eol content and page IDs\n",
|
| 809 |
+
"eol_cat_2['combined_id_catalog'] = eol_cat_2['eol_content_id'].astype(str) + '_' + eol_cat_2['eol_page_id'].astype(str)\n",
|
| 810 |
+
"eol_cat_2.rename(columns={'eol_content_id': 'eol_content_id_catalog', 'eol_page_id': 'eol_page_id_catalog'}, inplace=True)"
|
| 811 |
+
]
|
| 812 |
+
},
|
| 813 |
+
{
|
| 814 |
+
"cell_type": "code",
|
| 815 |
+
"execution_count": 40,
|
| 816 |
+
"metadata": {},
|
| 817 |
+
"outputs": [
|
| 818 |
+
{
|
| 819 |
+
"name": "stdout",
|
| 820 |
+
"output_type": "stream",
|
| 821 |
+
"text": [
|
| 822 |
+
"<class 'pandas.core.frame.DataFrame'>\n",
|
| 823 |
+
"RangeIndex: 612614 entries, 0 to 612613\n",
|
| 824 |
+
"Data columns (total 25 columns):\n",
|
| 825 |
+
" # Column Non-Null Count Dtype \n",
|
| 826 |
+
"--- ------ -------------- ----- \n",
|
| 827 |
+
" 0 split 612614 non-null object\n",
|
| 828 |
+
" 1 treeoflife_id 612614 non-null object\n",
|
| 829 |
+
" 2 eol_content_id_catalog 612614 non-null int64 \n",
|
| 830 |
+
" 3 eol_page_id_catalog 612614 non-null int64 \n",
|
| 831 |
+
" 4 kingdom 584979 non-null object\n",
|
| 832 |
+
" 5 phylum 585140 non-null object\n",
|
| 833 |
+
" 6 class 583235 non-null object\n",
|
| 834 |
+
" 7 order 582668 non-null object\n",
|
| 835 |
+
" 8 family 581082 non-null object\n",
|
| 836 |
+
" 9 genus 580464 non-null object\n",
|
| 837 |
+
" 10 species 579943 non-null object\n",
|
| 838 |
+
" 11 common 612614 non-null object\n",
|
| 839 |
+
" 12 combined_id_catalog_x 612614 non-null object\n",
|
| 840 |
+
" 13 combined_id_catalog_y 612614 non-null object\n",
|
| 841 |
+
" 14 filename_manifest 612614 non-null object\n",
|
| 842 |
+
" 15 combined_id_manifest_redownload 612614 non-null object\n",
|
| 843 |
+
" 16 medium_source_url 612614 non-null object\n",
|
| 844 |
+
" 17 eol_full_size_copy_url 612614 non-null object\n",
|
| 845 |
+
" 18 license_name 612614 non-null object\n",
|
| 846 |
+
" 19 copyright_owner 554029 non-null object\n",
|
| 847 |
+
" 20 expected_image_filename 612614 non-null object\n",
|
| 848 |
+
" 21 source_0706 612614 non-null bool \n",
|
| 849 |
+
" 22 source_0726 612614 non-null bool \n",
|
| 850 |
+
" 23 source_1206 612614 non-null bool \n",
|
| 851 |
+
" 24 combined_id_full_manifest 612614 non-null object\n",
|
| 852 |
+
"dtypes: bool(3), int64(2), object(20)\n",
|
| 853 |
+
"memory usage: 104.6+ MB\n"
|
| 854 |
+
]
|
| 855 |
+
}
|
| 856 |
+
],
|
| 857 |
+
"source": [
|
| 858 |
+
"eol_ts_links = pd.merge(eol_cat_2,\n",
|
| 859 |
+
" links_inner[list(links_inner.columns)[18:]],\n",
|
| 860 |
+
" left_on = \"combined_id_catalog\",\n",
|
| 861 |
+
" right_on = \"combined_id_full_manifest\",\n",
|
| 862 |
+
" how = \"inner\")\n",
|
| 863 |
+
"eol_ts_links.info(show_counts = True)"
|
| 864 |
+
]
|
| 865 |
+
},
|
| 866 |
+
{
|
| 867 |
+
"cell_type": "code",
|
| 868 |
+
"execution_count": 41,
|
| 869 |
+
"metadata": {},
|
| 870 |
+
"outputs": [
|
| 871 |
+
{
|
| 872 |
+
"data": {
|
| 873 |
+
"text/plain": [
|
| 874 |
+
"590730"
|
| 875 |
+
]
|
| 876 |
+
},
|
| 877 |
+
"execution_count": 41,
|
| 878 |
+
"metadata": {},
|
| 879 |
+
"output_type": "execute_result"
|
| 880 |
+
}
|
| 881 |
+
],
|
| 882 |
+
"source": [
|
| 883 |
+
"eol_ts_links.treeoflife_id.nunique()"
|
| 884 |
+
]
|
| 885 |
+
},
|
| 886 |
+
{
|
| 887 |
+
"cell_type": "markdown",
|
| 888 |
+
"metadata": {},
|
| 889 |
+
"source": [
|
| 890 |
+
"So we are missing the metadata for 3,734 of these images."
|
| 891 |
+
]
|
| 892 |
+
},
|
| 893 |
{
|
| 894 |
"cell_type": "markdown",
|
| 895 |
"metadata": {},
|
|
|
|
| 899 |
},
|
| 900 |
{
|
| 901 |
"cell_type": "code",
|
| 902 |
+
"execution_count": 25,
|
| 903 |
"metadata": {},
|
| 904 |
"outputs": [
|
| 905 |
{
|
|
|
|
| 936 |
},
|
| 937 |
{
|
| 938 |
"cell_type": "code",
|
| 939 |
+
"execution_count": 26,
|
| 940 |
"metadata": {},
|
| 941 |
"outputs": [],
|
| 942 |
"source": [
|
|
|
|
| 946 |
},
|
| 947 |
{
|
| 948 |
"cell_type": "code",
|
| 949 |
+
"execution_count": 27,
|
| 950 |
"metadata": {},
|
| 951 |
"outputs": [
|
| 952 |
{
|
|
|
|
| 955 |
"text": [
|
| 956 |
"<class 'pandas.core.frame.DataFrame'>\n",
|
| 957 |
"RangeIndex: 12552 entries, 0 to 12551\n",
|
| 958 |
+
"Data columns (total 29 columns):\n",
|
| 959 |
+
" # Column Non-Null Count Dtype \n",
|
| 960 |
+
"--- ------ -------------- ----- \n",
|
| 961 |
+
" 0 rarespecies_id 12552 non-null object\n",
|
| 962 |
+
" 1 eol_content_id_rs 12552 non-null int64 \n",
|
| 963 |
+
" 2 eol_page_id_rs 12552 non-null int64 \n",
|
| 964 |
+
" 3 kingdom 12552 non-null object\n",
|
| 965 |
+
" 4 phylum 12552 non-null object\n",
|
| 966 |
+
" 5 class 12552 non-null object\n",
|
| 967 |
+
" 6 order 12552 non-null object\n",
|
| 968 |
+
" 7 family 12552 non-null object\n",
|
| 969 |
+
" 8 genus 12552 non-null object\n",
|
| 970 |
+
" 9 species 12552 non-null object\n",
|
| 971 |
+
" 10 sciName 12552 non-null object\n",
|
| 972 |
+
" 11 combined_id_rs 12552 non-null object\n",
|
| 973 |
+
" 12 filename_archive 12552 non-null object\n",
|
| 974 |
+
" 13 md5_archive 12552 non-null object\n",
|
| 975 |
+
" 14 combined_id_archive 12552 non-null object\n",
|
| 976 |
+
" 15 filename_manifest 12552 non-null object\n",
|
| 977 |
+
" 16 md5_combined_manifest 12552 non-null object\n",
|
| 978 |
+
" 17 combined_id_manifest_redownload 12552 non-null object\n",
|
| 979 |
+
" 18 eol_content_id 12552 non-null int64 \n",
|
| 980 |
+
" 19 eol_page_id 12552 non-null int64 \n",
|
| 981 |
+
" 20 medium_source_url 12552 non-null object\n",
|
| 982 |
+
" 21 eol_full_size_copy_url 12552 non-null object\n",
|
| 983 |
+
" 22 license_name 12552 non-null object\n",
|
| 984 |
+
" 23 copyright_owner 11171 non-null object\n",
|
| 985 |
+
" 24 expected_image_filename 12552 non-null object\n",
|
| 986 |
+
" 25 source_0706 12552 non-null bool \n",
|
| 987 |
+
" 26 source_0726 12552 non-null bool \n",
|
| 988 |
+
" 27 source_1206 12552 non-null bool \n",
|
| 989 |
+
" 28 combined_id_full_manifest 12552 non-null object\n",
|
| 990 |
+
"dtypes: bool(3), int64(4), object(22)\n",
|
| 991 |
+
"memory usage: 2.5+ MB\n"
|
| 992 |
]
|
| 993 |
}
|
| 994 |
],
|
|
|
|
| 996 |
"rs_links = pd.merge(rs_catalog,\n",
|
| 997 |
" links_manifest_cargo,\n",
|
| 998 |
" left_on = \"combined_id_rs\",\n",
|
| 999 |
+
" right_on = \"combined_id_archive\", # looking at archive\n",
|
| 1000 |
" how = \"inner\")\n",
|
| 1001 |
"rs_links.info(show_counts = True)"
|
| 1002 |
]
|
| 1003 |
},
|
| 1004 |
{
|
| 1005 |
"cell_type": "code",
|
| 1006 |
+
"execution_count": 28,
|
| 1007 |
"metadata": {},
|
| 1008 |
"outputs": [
|
| 1009 |
{
|
| 1010 |
"data": {
|
| 1011 |
"text/plain": [
|
| 1012 |
+
"rarespecies_id 11826\n",
|
| 1013 |
+
"eol_content_id_rs 11826\n",
|
| 1014 |
+
"eol_page_id_rs 400\n",
|
| 1015 |
+
"kingdom 1\n",
|
| 1016 |
+
"phylum 5\n",
|
| 1017 |
+
"class 15\n",
|
| 1018 |
+
"order 85\n",
|
| 1019 |
+
"family 202\n",
|
| 1020 |
+
"genus 316\n",
|
| 1021 |
+
"species 385\n",
|
| 1022 |
+
"sciName 400\n",
|
| 1023 |
+
"combined_id_rs 11826\n",
|
| 1024 |
+
"filename_archive 11826\n",
|
| 1025 |
+
"md5_archive 11663\n",
|
| 1026 |
+
"combined_id_archive 11826\n",
|
| 1027 |
+
"filename_manifest 12221\n",
|
| 1028 |
+
"md5_combined_manifest 11663\n",
|
| 1029 |
+
"combined_id_manifest_redownload 12221\n",
|
| 1030 |
+
"eol_content_id 12221\n",
|
| 1031 |
+
"eol_page_id 447\n",
|
| 1032 |
+
"medium_source_url 12056\n",
|
| 1033 |
+
"eol_full_size_copy_url 12119\n",
|
| 1034 |
+
"license_name 15\n",
|
| 1035 |
+
"copyright_owner 3724\n",
|
| 1036 |
+
"expected_image_filename 12221\n",
|
| 1037 |
+
"source_0706 2\n",
|
| 1038 |
+
"source_0726 2\n",
|
| 1039 |
+
"source_1206 2\n",
|
| 1040 |
+
"combined_id_full_manifest 12221\n",
|
| 1041 |
"dtype: int64"
|
| 1042 |
]
|
| 1043 |
},
|
| 1044 |
+
"execution_count": 28,
|
| 1045 |
"metadata": {},
|
| 1046 |
"output_type": "execute_result"
|
| 1047 |
}
|
|
|
|
| 1059 |
},
|
| 1060 |
{
|
| 1061 |
"cell_type": "code",
|
| 1062 |
+
"execution_count": 29,
|
| 1063 |
"metadata": {},
|
| 1064 |
"outputs": [
|
| 1065 |
{
|
|
|
|
| 1068 |
"11826"
|
| 1069 |
]
|
| 1070 |
},
|
| 1071 |
+
"execution_count": 29,
|
| 1072 |
"metadata": {},
|
| 1073 |
"output_type": "execute_result"
|
| 1074 |
}
|
|
|
|
| 1080 |
},
|
| 1081 |
{
|
| 1082 |
"cell_type": "code",
|
| 1083 |
+
"execution_count": 30,
|
| 1084 |
"metadata": {},
|
| 1085 |
"outputs": [
|
| 1086 |
{
|
|
|
|
| 1092 |
" '29975068_45509269']"
|
| 1093 |
]
|
| 1094 |
},
|
| 1095 |
+
"execution_count": 30,
|
| 1096 |
"metadata": {},
|
| 1097 |
"output_type": "execute_result"
|
| 1098 |
}
|
|
|
|
| 1103 |
},
|
| 1104 |
{
|
| 1105 |
"cell_type": "code",
|
| 1106 |
+
"execution_count": 31,
|
| 1107 |
"metadata": {},
|
| 1108 |
"outputs": [
|
| 1109 |
{
|
| 1110 |
"data": {
|
| 1111 |
"text/plain": [
|
| 1112 |
+
"1473 29538601_46580048\n",
|
| 1113 |
+
"11127 29447084_1019571\n",
|
| 1114 |
+
"6578 20398296_328017\n",
|
| 1115 |
+
"11583 29772112_1049135\n",
|
| 1116 |
"Name: combined_id_rs, dtype: object"
|
| 1117 |
]
|
| 1118 |
},
|
| 1119 |
+
"execution_count": 31,
|
| 1120 |
"metadata": {},
|
| 1121 |
"output_type": "execute_result"
|
| 1122 |
}
|
|
|
|
| 1127 |
},
|
| 1128 |
{
|
| 1129 |
"cell_type": "code",
|
| 1130 |
+
"execution_count": 32,
|
| 1131 |
"metadata": {},
|
| 1132 |
"outputs": [
|
| 1133 |
{
|
|
|
|
| 1163 |
},
|
| 1164 |
{
|
| 1165 |
"cell_type": "code",
|
| 1166 |
+
"execution_count": 33,
|
| 1167 |
"metadata": {},
|
| 1168 |
"outputs": [
|
| 1169 |
{
|
|
|
|
| 1172 |
"text": [
|
| 1173 |
"<class 'pandas.core.frame.DataFrame'>\n",
|
| 1174 |
"RangeIndex: 0 entries\n",
|
| 1175 |
+
"Data columns (total 29 columns):\n",
|
| 1176 |
+
" # Column Non-Null Count Dtype \n",
|
| 1177 |
+
"--- ------ -------------- ----- \n",
|
| 1178 |
+
" 0 rarespecies_id 0 non-null object\n",
|
| 1179 |
+
" 1 eol_content_id_rs 0 non-null int64 \n",
|
| 1180 |
+
" 2 eol_page_id_rs 0 non-null int64 \n",
|
| 1181 |
+
" 3 kingdom 0 non-null object\n",
|
| 1182 |
+
" 4 phylum 0 non-null object\n",
|
| 1183 |
+
" 5 class 0 non-null object\n",
|
| 1184 |
+
" 6 order 0 non-null object\n",
|
| 1185 |
+
" 7 family 0 non-null object\n",
|
| 1186 |
+
" 8 genus 0 non-null object\n",
|
| 1187 |
+
" 9 species 0 non-null object\n",
|
| 1188 |
+
" 10 sciName 0 non-null object\n",
|
| 1189 |
+
" 11 combined_id_rs 0 non-null object\n",
|
| 1190 |
+
" 12 filename_archive 0 non-null object\n",
|
| 1191 |
+
" 13 md5_archive 0 non-null object\n",
|
| 1192 |
+
" 14 combined_id_archive 0 non-null object\n",
|
| 1193 |
+
" 15 filename_manifest 0 non-null object\n",
|
| 1194 |
+
" 16 md5_combined_manifest 0 non-null object\n",
|
| 1195 |
+
" 17 combined_id_manifest_redownload 0 non-null object\n",
|
| 1196 |
+
" 18 eol_content_id 0 non-null int64 \n",
|
| 1197 |
+
" 19 eol_page_id 0 non-null int64 \n",
|
| 1198 |
+
" 20 medium_source_url 0 non-null object\n",
|
| 1199 |
+
" 21 eol_full_size_copy_url 0 non-null object\n",
|
| 1200 |
+
" 22 license_name 0 non-null object\n",
|
| 1201 |
+
" 23 copyright_owner 0 non-null object\n",
|
| 1202 |
+
" 24 expected_image_filename 0 non-null object\n",
|
| 1203 |
+
" 25 source_0706 0 non-null bool \n",
|
| 1204 |
+
" 26 source_0726 0 non-null bool \n",
|
| 1205 |
+
" 27 source_1206 0 non-null bool \n",
|
| 1206 |
+
" 28 combined_id_full_manifest 0 non-null object\n",
|
| 1207 |
+
"dtypes: bool(3), int64(4), object(22)\n",
|
| 1208 |
"memory usage: 132.0+ bytes\n"
|
| 1209 |
]
|
| 1210 |
}
|
|
|
|
| 1213 |
"links_rs_mismatch = pd.merge(mismatched_rs,\n",
|
| 1214 |
" links_mismatch,\n",
|
| 1215 |
" left_on = \"combined_id_rs\",\n",
|
| 1216 |
+
" right_on = \"combined_id_full_manifest\",\n",
|
| 1217 |
" how = \"inner\")\n",
|
| 1218 |
"links_rs_mismatch.info(show_counts = True)"
|
| 1219 |
]
|
eol_realign/notebooks/links_align_reduced.py
CHANGED
|
@@ -16,12 +16,33 @@
|
|
| 16 |
# %%
|
| 17 |
import pandas as pd
|
| 18 |
|
|
|
|
|
|
|
|
|
|
| 19 |
# %% [markdown]
|
| 20 |
# ### Read in Links CSV files
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 21 |
|
| 22 |
# %%
|
| 23 |
-
links_inner = pd.read_csv("../data/
|
| 24 |
-
links_manifest_cargo = pd.read_csv("../data/
|
| 25 |
|
| 26 |
# %%
|
| 27 |
links_inner.info(show_counts=True)
|
|
@@ -29,18 +50,31 @@ links_inner.info(show_counts=True)
|
|
| 29 |
# %%
|
| 30 |
links_manifest_cargo.info(show_counts=True)
|
| 31 |
|
|
|
|
|
|
|
|
|
|
| 32 |
# %%
|
| 33 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 34 |
links_mismatch.info(show_counts = True)
|
| 35 |
|
|
|
|
|
|
|
|
|
|
| 36 |
# %%
|
| 37 |
-
links_mismatch[["
|
| 38 |
|
| 39 |
# %%
|
| 40 |
-
|
|
|
|
| 41 |
|
| 42 |
# %%
|
| 43 |
-
catalog = pd.read_csv("
|
| 44 |
|
| 45 |
# %%
|
| 46 |
# remove train_small and all non-EOL entries
|
|
@@ -74,11 +108,14 @@ eol_catalog.rename(columns={'eol_content_id': 'eol_content_id_catalog', 'eol_pag
|
|
| 74 |
matched_catalog_ids = list(links_inner.combined_id_catalog.unique())
|
| 75 |
len(matched_catalog_ids)
|
| 76 |
|
|
|
|
|
|
|
|
|
|
| 77 |
# %%
|
| 78 |
matched_catalog_ids[:5]
|
| 79 |
|
| 80 |
# %% [markdown]
|
| 81 |
-
#
|
| 82 |
|
| 83 |
# %%
|
| 84 |
eol_catalog['combined_id_catalog'].sample(5)
|
|
@@ -91,24 +128,76 @@ mismatched_catalog.info(show_counts = True)
|
|
| 91 |
mismatched_catalog.nunique()
|
| 92 |
|
| 93 |
# %% [markdown]
|
| 94 |
-
#
|
|
|
|
|
|
|
|
|
|
| 95 |
#
|
| 96 |
-
# let's merge with `links_mismatch` to see if the mismatched
|
| 97 |
|
| 98 |
# %%
|
|
|
|
| 99 |
links_catalog_mismatch = pd.merge(mismatched_catalog,
|
| 100 |
links_mismatch,
|
| 101 |
left_on = "combined_id_catalog",
|
| 102 |
-
right_on = "
|
| 103 |
how = "inner")
|
| 104 |
links_catalog_mismatch.info(show_counts = True)
|
| 105 |
|
|
|
|
|
|
|
|
|
|
| 106 |
# %%
|
| 107 |
mismatched_catalog.combined_id_catalog.sample(7)
|
| 108 |
|
| 109 |
# %% [markdown]
|
| 110 |
# These pages are reasonably full too: [5660435](https://eol.org/pages/5660435).
|
| 111 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 112 |
# %% [markdown]
|
| 113 |
# ## Check on Rare Species Catalog
|
| 114 |
|
|
@@ -126,7 +215,7 @@ rs_catalog.rename(columns={'eol_content_id': 'eol_content_id_rs', 'eol_page_id':
|
|
| 126 |
rs_links = pd.merge(rs_catalog,
|
| 127 |
links_manifest_cargo,
|
| 128 |
left_on = "combined_id_rs",
|
| 129 |
-
right_on = "
|
| 130 |
how = "inner")
|
| 131 |
rs_links.info(show_counts = True)
|
| 132 |
|
|
@@ -154,7 +243,7 @@ mismatched_rs.info(show_counts = True)
|
|
| 154 |
links_rs_mismatch = pd.merge(mismatched_rs,
|
| 155 |
links_mismatch,
|
| 156 |
left_on = "combined_id_rs",
|
| 157 |
-
right_on = "
|
| 158 |
how = "inner")
|
| 159 |
links_rs_mismatch.info(show_counts = True)
|
| 160 |
|
|
|
|
| 16 |
# %%
|
| 17 |
import pandas as pd
|
| 18 |
|
| 19 |
+
# %%
|
| 20 |
+
TOL_FILEPATH = "../../data/"
|
| 21 |
+
|
| 22 |
# %% [markdown]
|
| 23 |
# ### Read in Links CSV files
|
| 24 |
+
#
|
| 25 |
+
# Full cargo archives have some more content than the [original `links_inner` file](https://huggingface.co/datasets/imageomics/ToL-EDA/blob/fa08e0f6692a013e4e4f5ca30dd0e8883c0021d8/eol_realign/data/links_inner.csv) and the [original `links_manifest_cargo_on_md5.csv`](https://huggingface.co/datasets/imageomics/ToL-EDA/blob/fa08e0f6692a013e4e4f5ca30dd0e8883c0021d8/eol_realign/data/links_manifest_cargo_on_md5.csv).
|
| 26 |
+
#
|
| 27 |
+
# From Matt:
|
| 28 |
+
# > It represents a series of inner merges:
|
| 29 |
+
# > 1. The list of images in the EOL cargo archive (used to create the webdatasets) with the EOL portion of `catalog.csv`
|
| 30 |
+
# > - Merged on a combined identifier of `eol_content_id` and `eol_page_id`.
|
| 31 |
+
# > Result from 1) with the list of images redownloaded from all 3 media manifests we touched around the original download time (identified [here](https://huggingface.co/datasets/imageomics/ToL-EDA/discussions/5#6584808d92eba5ad69b8379f)).
|
| 32 |
+
# > - Merged on MD5
|
| 33 |
+
# >
|
| 34 |
+
# > The result has 6,219,674 unique `treeoflife_id` entries and 6,146,917 unique `md5` entries. It has the combined `eol_content_id` and `eol_page_id` identifiers used at each stage:
|
| 35 |
+
# - `combined_id_catalog`: represents what's in the original catalog
|
| 36 |
+
# - `combined_id_manifest_full_manifest`: represents what's in the combined manifest from all 3 dates
|
| 37 |
+
# > It also has an indicator of which of the three media manifest files each entry was present in (one or more) in columns representing retreival date (eg., `source_0706`: indicates if it was present in the manifest retrieved on July 6, 2023). It also has the copyright owner and license information as contained in the media manifest files.
|
| 38 |
+
# >
|
| 39 |
+
# > Still needs to be run through the owner name finding code. ([owner_match](https://huggingface.co/datasets/imageomics/ToL-EDA/blob/71ad5b49226a3a49634931005eeb340b3c96db13/scripts/match_owners.py) --note: this version uses inner merges, so will remove entries without media info. Probably should adjust this.)
|
| 40 |
+
#
|
| 41 |
+
# For reference on the numbers, there are 6,250,420 EOL images in TreeOfLife-10M (the catalog). Comparing with `links_inner` previously (from [`links_inner.csv`](https://huggingface.co/datasets/imageomics/ToL-EDA/blob/fa08e0f6692a013e4e4f5ca30dd0e8883c0021d8/eol_realign/data/links_inner.csv)) we were missing 31,376 images, 29 of which were identified in [`links_manifest_cargo_on_md5.csv`](https://huggingface.co/datasets/imageomics/ToL-EDA/blob/fa08e0f6692a013e4e4f5ca30dd0e8883c0021d8/eol_realign/data/links_manifest_cargo_on_md5.csv).
|
| 42 |
|
| 43 |
# %%
|
| 44 |
+
links_inner = pd.read_csv("../data/eol-cargo-archive_catalog_combined-manifest-checksums_links.csv", low_memory=False)
|
| 45 |
+
links_manifest_cargo = pd.read_csv("../data/eol-cargo-archive_combined-manifest-checksums_links.csv", low_memory=False)
|
| 46 |
|
| 47 |
# %%
|
| 48 |
links_inner.info(show_counts=True)
|
|
|
|
| 50 |
# %%
|
| 51 |
links_manifest_cargo.info(show_counts=True)
|
| 52 |
|
| 53 |
+
# %% [markdown]
|
| 54 |
+
# These both have about 600-700 more entries than the earlier files.
|
| 55 |
+
|
| 56 |
# %%
|
| 57 |
+
# These should be the same
|
| 58 |
+
links_manifest_cargo.loc[links_manifest_cargo["combined_id_manifest_redownload"] != links_manifest_cargo["combined_id_full_manifest"]]
|
| 59 |
+
|
| 60 |
+
# %%
|
| 61 |
+
# archive has replaced cargo
|
| 62 |
+
# full manifest or manifest redownload to replace manifest checksums -- they are equal
|
| 63 |
+
links_mismatch = links_manifest_cargo.loc[links_manifest_cargo["combined_id_archive"] != links_manifest_cargo["combined_id_full_manifest"]]
|
| 64 |
links_mismatch.info(show_counts = True)
|
| 65 |
|
| 66 |
+
# %% [markdown]
|
| 67 |
+
# There are 42 more mismatched entries. Only 13 additional unique images (MD5s).
|
| 68 |
+
|
| 69 |
# %%
|
| 70 |
+
links_mismatch[["md5_archive", "combined_id_full_manifest", "combined_id_archive"]].nunique()
|
| 71 |
|
| 72 |
# %%
|
| 73 |
+
# This is archive manifest mismatch
|
| 74 |
+
links_mismatch.to_csv("../data/links_archive_manifest_IDmismatch.csv", index = False)
|
| 75 |
|
| 76 |
# %%
|
| 77 |
+
catalog = pd.read_csv(TOL_FILEPATH + "catalog.csv", low_memory=False)
|
| 78 |
|
| 79 |
# %%
|
| 80 |
# remove train_small and all non-EOL entries
|
|
|
|
| 108 |
matched_catalog_ids = list(links_inner.combined_id_catalog.unique())
|
| 109 |
len(matched_catalog_ids)
|
| 110 |
|
| 111 |
+
# %% [markdown]
|
| 112 |
+
# Here we go, we got an additional 630 matched IDs!
|
| 113 |
+
|
| 114 |
# %%
|
| 115 |
matched_catalog_ids[:5]
|
| 116 |
|
| 117 |
# %% [markdown]
|
| 118 |
+
# We still have about 30K unmatched (as shown below, it's down to 30,746 from 31,376), let's find those in the catalog and then we'll try to merge with our mismatched cargo & manifest.
|
| 119 |
|
| 120 |
# %%
|
| 121 |
eol_catalog['combined_id_catalog'].sample(5)
|
|
|
|
| 128 |
mismatched_catalog.nunique()
|
| 129 |
|
| 130 |
# %% [markdown]
|
| 131 |
+
# Seems one class got resolved (equals more orders and down).
|
| 132 |
+
|
| 133 |
+
# %% [markdown]
|
| 134 |
+
# ## Merge with Mismatched CargoArchive-Manifest
|
| 135 |
#
|
| 136 |
+
# let's merge with `links_mismatch` to see if the mismatched archive and manifest combined IDs can be linked up.
|
| 137 |
|
| 138 |
# %%
|
| 139 |
+
# replace manifest checksums with full manifest as above
|
| 140 |
links_catalog_mismatch = pd.merge(mismatched_catalog,
|
| 141 |
links_mismatch,
|
| 142 |
left_on = "combined_id_catalog",
|
| 143 |
+
right_on = "combined_id_full_manifest",
|
| 144 |
how = "inner")
|
| 145 |
links_catalog_mismatch.info(show_counts = True)
|
| 146 |
|
| 147 |
+
# %% [markdown]
|
| 148 |
+
# Now there's no gain from the mismatch file, but that was only 29 images, so we've captured them from the archive (plus more!).
|
| 149 |
+
|
| 150 |
# %%
|
| 151 |
mismatched_catalog.combined_id_catalog.sample(7)
|
| 152 |
|
| 153 |
# %% [markdown]
|
| 154 |
# These pages are reasonably full too: [5660435](https://eol.org/pages/5660435).
|
| 155 |
|
| 156 |
+
# %% [markdown]
|
| 157 |
+
# ### Final Catalog
|
| 158 |
+
#
|
| 159 |
+
# Our final EOL catalog is thus going to be the `treeoflife_id`s in `links_inner`.
|
| 160 |
+
#
|
| 161 |
+
# Finall question is just how does this look for our `train_small`?
|
| 162 |
+
|
| 163 |
+
# %%
|
| 164 |
+
cat_2 = pd.read_csv(TOL_FILEPATH + "catalog.csv", low_memory=False)
|
| 165 |
+
|
| 166 |
+
# reduce to just train_small and all non-EOL entries
|
| 167 |
+
cat_2 = cat_2.loc[cat_2.split == "train_small"]
|
| 168 |
+
eol_cat_2 = cat_2.loc[cat_2.eol_content_id.notna()]
|
| 169 |
+
|
| 170 |
+
eol_cat_2 = eol_cat_2[eol_cols]
|
| 171 |
+
eol_cat_2.info(show_counts=True)
|
| 172 |
+
|
| 173 |
+
# %% [markdown]
|
| 174 |
+
# So `train_small` has 593,764 images from EOL.
|
| 175 |
+
#
|
| 176 |
+
# Let's recast IDs as ints to match up with `links_inner` and check we have info for all of them.
|
| 177 |
+
|
| 178 |
+
# %%
|
| 179 |
+
eol_cat_2 = eol_cat_2.astype({"eol_content_id": "int64", "eol_page_id": "int64"})
|
| 180 |
+
eol_cat_2[eol_cols[:4]].info()
|
| 181 |
+
|
| 182 |
+
# %%
|
| 183 |
+
# make combined ID for catalog and add suffix to eol content and page IDs
|
| 184 |
+
eol_cat_2['combined_id_catalog'] = eol_cat_2['eol_content_id'].astype(str) + '_' + eol_cat_2['eol_page_id'].astype(str)
|
| 185 |
+
eol_cat_2.rename(columns={'eol_content_id': 'eol_content_id_catalog', 'eol_page_id': 'eol_page_id_catalog'}, inplace=True)
|
| 186 |
+
|
| 187 |
+
# %%
|
| 188 |
+
eol_ts_links = pd.merge(eol_cat_2,
|
| 189 |
+
links_inner[list(links_inner.columns)[18:]],
|
| 190 |
+
left_on = "combined_id_catalog",
|
| 191 |
+
right_on = "combined_id_full_manifest",
|
| 192 |
+
how = "inner")
|
| 193 |
+
eol_ts_links.info(show_counts = True)
|
| 194 |
+
|
| 195 |
+
# %%
|
| 196 |
+
eol_ts_links.treeoflife_id.nunique()
|
| 197 |
+
|
| 198 |
+
# %% [markdown]
|
| 199 |
+
# So we are missing the metadata for 3,734 of these images.
|
| 200 |
+
|
| 201 |
# %% [markdown]
|
| 202 |
# ## Check on Rare Species Catalog
|
| 203 |
|
|
|
|
| 215 |
rs_links = pd.merge(rs_catalog,
|
| 216 |
links_manifest_cargo,
|
| 217 |
left_on = "combined_id_rs",
|
| 218 |
+
right_on = "combined_id_archive", # looking at archive
|
| 219 |
how = "inner")
|
| 220 |
rs_links.info(show_counts = True)
|
| 221 |
|
|
|
|
| 243 |
links_rs_mismatch = pd.merge(mismatched_rs,
|
| 244 |
links_mismatch,
|
| 245 |
left_on = "combined_id_rs",
|
| 246 |
+
right_on = "combined_id_full_manifest",
|
| 247 |
how = "inner")
|
| 248 |
links_rs_mismatch.info(show_counts = True)
|
| 249 |
|