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The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 2 new columns ({'subject_type', 'subject_id'}) and 2 missing columns ({'conversation_id', 'content'}).

This happened while the csv dataset builder was generating data using

hf://datasets/BreadboardLabs/CurioTreeData/converations.csv (at revision d8b9e0f9410bc014e0727d8129d24ccad1a7b701)

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2011, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2302, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              id: int64
              user_id: int64
              subject_type: string
              subject_id: int64
              status: string
              created_at: string
              updated_at: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1066
              to
              {'id': Value(dtype='int64', id=None), 'user_id': Value(dtype='int64', id=None), 'conversation_id': Value(dtype='int64', id=None), 'content': Value(dtype='string', id=None), 'status': Value(dtype='string', id=None), 'created_at': Value(dtype='string', id=None), 'updated_at': Value(dtype='string', id=None)}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1316, in compute_config_parquet_and_info_response
                  parquet_operations, partial = stream_convert_to_parquet(
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 909, in stream_convert_to_parquet
                  builder._prepare_split(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2013, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 2 new columns ({'subject_type', 'subject_id'}) and 2 missing columns ({'conversation_id', 'content'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/BreadboardLabs/CurioTreeData/converations.csv (at revision d8b9e0f9410bc014e0727d8129d24ccad1a7b701)
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

Need help to make the dataset viewer work? Open a discussion for direct support.

id
int64
user_id
int64
conversation_id
int64
content
string
status
string
created_at
string
updated_at
string
2
179
2
The owner was out watering her plants and kindly told me that it's a mahonia tree 🌲
PUBLISHED
2017-05-24 16:16:50 UTC
2017-05-24 16:17:14 UTC
24
284
16
Yeah, definitely, they look a lot like big bonsai trees!
PUBLISHED
2017-05-29 18:56:15 UTC
2017-05-29 19:16:49 UTC
3
178
3
😀😂🌱🌲🌳
PUBLISHED
2017-05-24 16:24:19 UTC
2017-05-24 16:33:04 UTC
4
180
4
This looks beautiful 😃. I'm so used to seeing hawthorn choked and lost in the depths of a hedgerow
PUBLISHED
2017-05-24 16:38:46 UTC
2017-05-24 17:15:29 UTC
1
178
1
That's a lovely example of a hawthorn.
PUBLISHED
2017-05-24 15:45:36 UTC
2017-05-24 17:15:55 UTC
5
179
5
Is that a telephone cable running right through the middle of that tree?
PUBLISHED
2017-05-24 17:30:39 UTC
2017-05-24 17:31:48 UTC
6
180
5
It surely is #overheadcable
PUBLISHED
2017-05-24 17:32:16 UTC
2017-05-24 17:32:16 UTC
7
180
6
I love the evening light in this 🌄
PUBLISHED
2017-05-24 21:33:13 UTC
2017-05-25 10:23:16 UTC
8
178
7
Tagging #bench is a great was to search for nice shady areas to sit 🌳💃
PUBLISHED
2017-05-25 10:26:07 UTC
2017-05-25 14:18:12 UTC
10
178
9
Olive tree hunting looks like loads of fun 😀😀😀😀
PUBLISHED
2017-05-25 18:54:13 UTC
2017-05-25 19:48:11 UTC
26
180
18
Wow, I love how this tree is dwarfing everything around it
PUBLISHED
2017-05-30 12:52:30 UTC
2017-05-30 12:52:30 UTC
11
180
9
This is brilliant - looking cool dudes 😎
PUBLISHED
2017-05-25 19:48:04 UTC
2017-05-25 22:28:37 UTC
12
179
9
I love this photo. Super cool dudes alright
PUBLISHED
2017-05-25 22:30:21 UTC
2017-05-25 22:30:21 UTC
34
180
26
Wow, I love how hunched and gnarled this tree is. It almost looks like its carved from stone
PUBLISHED
2017-06-01 16:06:24 UTC
2018-05-11 16:56:49 UTC
13
178
10
Don't forget to tag your olive trees with #wheresolea #icogreen #londontreeweek
PUBLISHED
2017-05-26 16:18:21 UTC
2017-05-26 16:18:21 UTC
15
179
12
Nice find!! 🍸🍃
PUBLISHED
2017-05-26 18:02:02 UTC
2017-05-26 18:02:02 UTC
14
179
11
What a beautiful tree. I'd say it's a lot of fun to climb too
PUBLISHED
2017-05-26 17:56:27 UTC
2017-05-27 09:01:05 UTC
16
180
13
What type of tree is this? I hope it's the sort that drinks spilled beer 😀 🍻
PUBLISHED
2017-05-27 09:03:13 UTC
2017-05-27 11:01:33 UTC
17
284
14
Is that an inflatable screen?
PUBLISHED
2017-05-27 11:40:11 UTC
2017-05-27 12:41:40 UTC
19
284
1
Agreed!
PUBLISHED
2017-05-27 11:50:01 UTC
2017-05-27 12:41:57 UTC
21
178
14
"Where we're going we don't need roads" 🚀
PUBLISHED
2017-05-27 14:56:19 UTC
2017-05-27 15:27:19 UTC
18
284
4
Yeah me too, but I love them as small trees, especially this time of year 😊
PUBLISHED
2017-05-27 11:48:53 UTC
2017-05-27 15:37:14 UTC
20
179
14
It is! They show films on it every few weeks during the summer. It's in an old small park in the middle of the city. Last night's film was the 'Goonies'. Next up 'Back to the Future'!!
PUBLISHED
2017-05-27 12:45:18 UTC
2017-05-28 06:55:16 UTC
22
179
15
And captured just before your arrived!
PUBLISHED
2017-05-29 13:50:21 UTC
2017-05-29 13:50:21 UTC
23
179
16
Ah, beautiful. I love the shape. It kind of looks like a giant flowering bonsai tree if that makes any sense at all 🤔😁
PUBLISHED
2017-05-29 15:36:46 UTC
2017-05-29 18:56:19 UTC
28
178
20
Wow the trunk on those are huge! 🌲🌲🌲
PUBLISHED
2017-05-30 13:31:08 UTC
2017-05-30 13:31:08 UTC
25
180
17
Just some olive trees hanging out in the no smoking area 😎🌳🌳
PUBLISHED
2017-05-30 12:00:57 UTC
2017-05-30 14:37:23 UTC
29
180
21
Brilliant, I love ceibas 😀😀🌳
PUBLISHED
2017-05-30 15:33:06 UTC
2017-05-30 15:33:06 UTC
31
180
23
These flowers are amazing, they're like little worlds
PUBLISHED
2017-05-30 22:37:37 UTC
2017-05-31 04:19:46 UTC
32
180
24
Is this some type of elm, does anyone know?
PUBLISHED
2017-05-31 11:33:06 UTC
2017-05-31 11:33:06 UTC
27
179
19
Those flowers are pretty amazing and that looks like a lovely spot for a nice relaxed breakfast
PUBLISHED
2017-05-30 13:24:20 UTC
2017-06-01 16:04:13 UTC
33
180
25
I'm amazed by how many stems are on this laburnum
PUBLISHED
2017-06-01 15:36:48 UTC
2017-06-02 06:24:21 UTC
35
178
27
Nice find ! 🕵
PUBLISHED
2017-06-02 10:05:16 UTC
2017-06-02 10:24:25 UTC
36
178
28
Thanks @edit for updating the species for me!
PUBLISHED
2017-06-02 10:58:22 UTC
2017-06-02 10:58:22 UTC
37
179
29
Ah wow, the colour is pretty striking and there's always something nice about seeing so many people gathered under trees
PUBLISHED
2017-06-02 21:13:23 UTC
2017-06-02 21:13:23 UTC
39
180
31
The colour in this is amazing. It's like light is pouring off the tree with the subdued blues and greys in the background
PUBLISHED
2017-06-02 23:02:44 UTC
2017-06-02 23:02:44 UTC
40
180
32
Quite a crown on that badboy
PUBLISHED
2017-06-02 23:04:00 UTC
2017-06-03 09:59:55 UTC
38
180
30
That's an amazing looking gingko. Love how starkly it stands out against the brickwork 🌲🏢
PUBLISHED
2017-06-02 22:35:11 UTC
2017-06-03 10:00:26 UTC
42
178
34
Ooh la la! 😄
PUBLISHED
2017-06-03 13:44:46 UTC
2017-06-03 13:44:46 UTC
43
179
35
Brilliant!!!
PUBLISHED
2017-06-03 15:33:04 UTC
2017-06-03 15:33:04 UTC
44
179
36
Brilliant!! 💥 Another Olive tree mapped
PUBLISHED
2017-06-03 15:39:39 UTC
2017-06-03 15:39:39 UTC
46
180
38
I think it is - nice find 😀
PUBLISHED
2017-06-03 18:12:29 UTC
2017-06-03 18:12:29 UTC
45
180
37
Wow, this is an amazing example!
PUBLISHED
2017-06-03 17:38:49 UTC
2017-06-03 23:17:30 UTC
47
179
39
Wow! Huge. I can imagine coming across it being a little like jaws - 'I think we're going to need a bigger DBH tape'
PUBLISHED
2017-06-03 23:21:46 UTC
2017-06-03 23:21:46 UTC
41
180
33
☺ being able to see the seasonal differences here is brilliant. Nice one
PUBLISHED
2017-06-03 10:00:10 UTC
2017-06-04 07:28:29 UTC
49
284
30
Is it producing fruit?
PUBLISHED
2017-06-04 07:30:12 UTC
2017-06-04 12:17:28 UTC
51
179
30
I don't think so . At least not at the moment. Apparently the fruit can be really smelly which I didn't know about
PUBLISHED
2017-06-04 12:18:37 UTC
2017-06-04 12:18:37 UTC
52
179
30
Are there any in Malmo?
PUBLISHED
2017-06-04 12:19:04 UTC
2017-06-04 12:19:04 UTC
30
284
22
Mannaask va?
PUBLISHED
2017-05-30 21:21:50 UTC
2017-08-31 05:51:13 UTC
48
284
33
Thanks 😊
PUBLISHED
2017-06-04 07:28:27 UTC
2017-11-27 21:38:34 UTC
54
284
30
how do you know this tree is female?
PUBLISHED
2017-06-04 14:03:54 UTC
2017-06-04 14:10:02 UTC
55
179
30
Ah cool, I must try and see if I can find some ginko trees next time I'm in Malmo. I was in the company of a few tree experts, they filled me in on the details of the female ginko
PUBLISHED
2017-06-04 14:12:06 UTC
2017-06-04 14:12:06 UTC
56
284
41
That looks like either a Turkey oak or a Lucombe oak. Do you know if the leaves stay on the tree in winter?
PUBLISHED
2017-06-04 14:22:57 UTC
2017-06-04 20:11:48 UTC
53
284
30
Yes, there are plenty of Ginkgo trees in Malmö, mostly male but a few female trees that produce fruit, and some we aren't sure about yet. The fruit really is smelly (like vomit), but apparently they eat part of it in China, though I think it's the seed and not the pulp.
PUBLISHED
2017-06-04 14:03:28 UTC
2017-06-04 21:50:31 UTC
61
284
30
Haha 😊
PUBLISHED
2017-06-04 18:51:01 UTC
2017-06-04 23:00:15 UTC
58
284
30
Oh, ok 😊 Do you know if there's a good way of telling the female from the male without flowers/fruit?
PUBLISHED
2017-06-04 14:27:15 UTC
2017-06-04 14:27:15 UTC
57
179
41
I don't unfortunately but maybe now I have a good excuse for another trip to London. Thanks for your help with this Edit!!
PUBLISHED
2017-06-04 14:26:35 UTC
2017-06-04 14:27:38 UTC
62
178
40
Oooh! So prunus serulata maybe?
PUBLISHED
2017-06-04 20:09:57 UTC
2017-06-04 20:09:57 UTC
50
284
40
Looks like some sort of cherry tree.
PUBLISHED
2017-06-04 07:31:43 UTC
2017-06-04 20:10:02 UTC
59
179
30
The people I was with are local Londoners so I'd say they had seen it flowering. They probably smelt it flowering too! ☺️
PUBLISHED
2017-06-04 15:15:05 UTC
2017-06-04 21:50:53 UTC
60
180
42
Wow, that's quite a beech tree! #huge
PUBLISHED
2017-06-04 18:20:03 UTC
2017-06-04 23:02:48 UTC
64
284
43
Men väldigt vacker i sitt förfall!
PUBLISHED
2017-06-05 05:07:20 UTC
2017-06-05 08:20:32 UTC
66
179
44
Wow! What an amazing find! It's beautiful and HUGE!
PUBLISHED
2017-06-05 13:06:02 UTC
2017-06-05 14:07:18 UTC
67
284
45
wow!
PUBLISHED
2017-06-05 15:51:15 UTC
2017-06-05 15:51:15 UTC
65
568
43
Jäklar vad kul vi trädnördar ska ha med denna app! Tack för tipset Edit! Och det förvånar mig inte ett dugg att du redan är här och lägger upp bilder Anton.
PUBLISHED
2017-06-05 07:45:40 UTC
2017-06-05 15:52:20 UTC
68
284
43
Ja det kommer att bli kanon! Hör gärna av er till utvecklarna om ni stöter på några problem eller buggar så att vi kan fortsätta att göra appen bättre!
PUBLISHED
2017-06-05 15:54:51 UTC
2017-06-05 15:54:51 UTC
69
180
46
I love how this shot looks like an architect's render 😀
PUBLISHED
2017-06-08 12:21:49 UTC
2017-06-08 13:55:15 UTC
70
179
47
What a lovely shot. It's cool seeing the needles silhouetted against the sky like that
PUBLISHED
2017-06-08 13:59:25 UTC
2017-06-08 13:59:25 UTC
71
178
48
Wow! Are they pink helicopter seeds? 🚁🔷
PUBLISHED
2017-06-09 10:57:19 UTC
2017-06-09 13:09:30 UTC
72
178
48
Oh and apparently they're called 'samaras'
PUBLISHED
2017-06-09 11:02:16 UTC
2017-06-09 13:09:33 UTC
73
179
48
Ah cool!! I didn't know that
PUBLISHED
2017-06-09 13:09:50 UTC
2017-06-09 13:09:50 UTC
63
284
40
Could be 😊
PUBLISHED
2017-06-04 20:58:08 UTC
2017-06-11 23:01:51 UTC
74
178
49
That looks like a pine tree to me. Anyone know what type?
PUBLISHED
2017-06-13 13:50:51 UTC
2017-06-13 13:50:51 UTC
75
178
50
Great way to capture all the trees characteristics in one photo 👍👍👍
PUBLISHED
2017-06-15 10:06:42 UTC
2017-06-15 12:29:41 UTC
76
180
51
This may seem really obvious but is it called an ironwood because the wood is particularly hard?
PUBLISHED
2017-06-15 12:31:38 UTC
2017-06-15 12:31:38 UTC
78
179
53
Wow! That looks like a pretty cool spot and not a bad place to sit down and relax for a while
PUBLISHED
2017-06-15 13:46:21 UTC
2017-06-15 13:46:21 UTC
77
179
52
What an amazing peachy pink colour
PUBLISHED
2017-06-15 13:44:23 UTC
2017-06-16 17:30:48 UTC
79
284
52
Yes it's almost surreal!
PUBLISHED
2017-06-16 17:31:31 UTC
2017-06-16 17:41:30 UTC
80
653
54
Wrong comment sorry
PUBLISHED
2017-06-17 07:23:11 UTC
2017-06-17 07:23:11 UTC
82
179
56
A proper rubber tree!! That's very cool
PUBLISHED
2017-06-19 13:48:02 UTC
2017-06-19 13:48:02 UTC
83
179
57
Those flowers look amazing
PUBLISHED
2017-06-20 12:00:51 UTC
2017-06-20 12:00:51 UTC
81
179
55
That's a pretty cool shot. It's always cool seeing huge crowds moving along tree lined streets. I hope the game was good too 🏈
PUBLISHED
2017-06-19 13:46:46 UTC
2017-06-20 15:37:41 UTC
84
517
57
Yes.. but I don't know its name 😢
PUBLISHED
2017-06-20 19:52:10 UTC
2017-06-20 19:52:10 UTC
85
179
58
Those flowers are amazing
PUBLISHED
2017-06-21 21:04:12 UTC
2017-06-21 21:04:12 UTC
86
179
58
I found out what species of tree this is. Apparently it is a Albizia julibrissin
PUBLISHED
2017-06-22 11:25:49 UTC
2017-06-22 13:50:36 UTC
89
178
59
Some great oak trees down in Fota wildlife park! 😎🐅🐒🌲
PUBLISHED
2017-06-22 15:20:43 UTC
2017-06-22 15:20:43 UTC
92
269
61
Looking at all the trees in Malaga is making me want to go on holiday!
PUBLISHED
2017-06-22 19:46:43 UTC
2017-06-22 19:46:43 UTC
93
180
62
Hey monicapg, thanks for letting me know the species of this tree 😄
PUBLISHED
2017-06-22 19:49:13 UTC
2017-06-22 19:49:13 UTC
94
180
63
Love this picture 🌼🌼🌳
PUBLISHED
2017-06-22 19:51:50 UTC
2017-06-22 19:51:50 UTC
95
180
64
I think this is a baobab tree. Awesome!
PUBLISHED
2017-06-22 19:53:59 UTC
2017-06-22 19:53:59 UTC
98
517
62
You are welcome!
PUBLISHED
2017-06-22 20:15:30 UTC
2017-06-22 20:15:30 UTC
100
517
61
Thank you.. Estepona has amazing trees ☺
PUBLISHED
2017-06-22 20:26:50 UTC
2017-06-22 20:26:50 UTC
88
517
58
I found it yesterday ☺
PUBLISHED
2017-06-22 12:13:50 UTC
2017-06-22 22:29:27 UTC
87
517
58
Yes.. It is.
PUBLISHED
2017-06-22 12:08:37 UTC
2017-06-22 22:29:27 UTC
90
178
58
2 nature detectives 🕵🕵🌳😁
PUBLISHED
2017-06-22 15:22:22 UTC
2017-06-22 22:29:30 UTC
99
517
58
😀
PUBLISHED
2017-06-22 20:19:43 UTC
2017-06-22 22:29:34 UTC
91
178
60
Happy tree hunting Jorgen! 🕵🌳
PUBLISHED
2017-06-22 15:30:11 UTC
2017-06-22 22:30:40 UTC
101
179
58
Well one good nature detective and one Conor 😂. It's such a cool looking tree. It seems like Malaga is the place to go for cool and unusual trees
PUBLISHED
2017-06-22 22:48:15 UTC
2017-06-22 22:48:15 UTC
102
517
58
You are a very good detective as well.. 😊 Estepona is a good place for visiting trees
PUBLISHED
2017-06-23 07:36:42 UTC
2017-06-23 08:52:22 UTC
105
179
66
The exposed roots are really cool looking
PUBLISHED
2017-06-26 15:29:37 UTC
2017-06-26 15:29:37 UTC
End of preview.

The Curio Tree Dataset

This dataset contains much of the tree inventory, images and stories data that was collected on the Curio platform before it was sunset. The data was extraced from a number of database tables and includes;

  • The inventory details of 2.5 millions trees from locations across the globe (location, species, diameter at breast height (DBH), height, vitality etc, where available)
  • 27,288 images of trees that were uploaded onto the platform by our community and linked to individual trees and their species information etc.
  • Notes (stories), tags and conversations linked to trees.

Dataset Description

Curio was an environmental education and outreach platform that was predominantly focused on urban forestry. It connected the various stakeholders involved in the management of urban forestry with the public and importantly made all data uploaded via its web and mobile apps publicly available. The platform was live from March 2016 until August 2023 when the maintainence overheads made its ongoing availability infeasible. Curio was supported in its early stages by two European Space Agency projects, through the New Commons and Curio Canopy. A sense of the platform and how it worked can be found via the videos on its supporting youtube channel

This repository contains much of the tree inventory, images and stories data that was collected on the platform via our community, projects we helped support and open data tree inventories we uploaded onto the platform. We are keen to make this data available for research purposes in the hope it might be of benefit to others and to further the efforts of our community.

We have endeavored to name as many of those great projects and data sources that were hosted on the Curio platform in the attribution section below. If there are any omissions or errors please contact us.

A related project involved generating a high resolution map of tree canopy cover for the Greater London Authority. Details of that project and dataset can be found on the London Datastore Curio Canopy page.

  • Curated by: Breadboard Labs
  • License: cc-by-nc-4.0

Dataset Sources and Attribution

Many people picked up the app and contributed to the data that was collected. Curio was also used to support many great projects and initiatives. We have endeavoured to mention many of those projects below along with the open data tree inventories we uploaded onto the platform.

Collaborative projects supported by Curio

Open Data Sources Attribution

Uses

The data is free to be used for research purposes subject to the cc-by-nc-4.0 licence and suitable attribution, please see the citation section below

Some potential uses might include;

  • Investigations into urban tree biodiversity.
  • The development of algorithms for extracting tree attributes via photos or streetview imagery.
  • A tree species detection app.
  • The detection trees of via satellite imagery.
  • Species identfiication via hyperspectral tree.

It worth noting that for most use-cases cleaning, analysis and processing of data will be necessary. The completeness of tree inventory data varies greatly and users were not directed in anyway in terms of how to frame the photos they took and uploaded via the Curio app.

Dataset Structure

TaggedTrees

Number of data points: 2,593,139

The details of an individual tree including its location, species, diameter at breast height (dbh), vitality etc. when available

Images

Number of data points: 27,288

The details of images that were uploaded to the platform. The path to the actual image uploaded, this can be found in uploads directory. The details of what the image was attached to which usually was a ‘Story” that was then attached to a tree are also included.

Uploads:

The set of images referenced in the images data file. The set of images was quite large even when zipped and so was broken up into 10gb chunks. Download each of the chunks and then run unzip on the uploads.zip file

A folder containing downsized versions of the images based on a fixed width has also been included - resized-uploads-width1200.zip

Stories:

The details of a story that was attached to tree

Notes:

The text included in a story/note about a tree.

Conversations & Comments:

Comments grouped by conversations linked to a particular Story

TreeSpecies

The tree species dictionary we built to support the platform. Each TaggedTree has a tree_species_id that references an entry in this dictionary when populated.

TreeSpeciesAliases

The local names across multiple languages that can used to describe a species of tree contained in the TreeSpecies dictionary

Tags and Taggings

Trees could be tagged with details such as diseased, monitored, newly_planted, apples, overhead cables etc. Anything at all really that could later be used to filter, group or identify trees of interest as well describe their state.

Dataset Creation

Curation Rationale

The goal of the Curio platform was to educate, engage and democratised access to environmenatal information. Making the data collected on the platform available in this form is seen as an extension of that mission.

Data Collection and Processing

All data was collected via the Curio app by its community. Where inventory data was uploaded in bulk we preprocessed the data to ensure details such as species information where mapped to the species dictionary we deinfed and that has been included in this release.

Before making the data available on this platform we decided to run face detection and blur any obvious, detectable faces found in the images that have been included.

Citation [optional]

@misc{CurioTreeData, title = {The Curio Tree Dataset}, author = {Conor Nugent and Paul Hickey}, year = {2023}, publisher = {HuggingFace}, journal = {HuggingFace repository}, howpublished = {\url{https://https://huggingface.co/datasets/BreadboardLabs/CurioTreeData}}, }

Dataset Card Authors

Conor Nugent and Paul Hickey

Dataset Card Contact

Conor Nugent

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