autotrain-data-processor
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Processed data from AutoTrain data processor ([2023-06-26 07:43 ]
Browse files- README.md +53 -0
- processed/dataset_dict.json +1 -0
- processed/train/data-00000-of-00005.arrow +3 -0
- processed/train/data-00001-of-00005.arrow +3 -0
- processed/train/data-00002-of-00005.arrow +3 -0
- processed/train/data-00003-of-00005.arrow +3 -0
- processed/train/data-00004-of-00005.arrow +3 -0
- processed/train/dataset_info.json +34 -0
- processed/train/state.json +28 -0
- processed/valid/data-00000-of-00002.arrow +3 -0
- processed/valid/data-00001-of-00002.arrow +3 -0
- processed/valid/dataset_info.json +34 -0
- processed/valid/state.json +19 -0
README.md
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---
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task_categories:
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- image-classification
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---
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# AutoTrain Dataset for project: galaxy_classification
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## Dataset Description
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This dataset has been automatically processed by AutoTrain for project galaxy_classification.
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### Languages
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The BCP-47 code for the dataset's language is unk.
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## Dataset Structure
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### Data Instances
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A sample from this dataset looks as follows:
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```json
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[
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{
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"image": "<256x256 RGB PIL image>",
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"target": 0
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},
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{
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"image": "<256x256 RGB PIL image>",
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"target": 0
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}
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]
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```
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### Dataset Fields
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The dataset has the following fields (also called "features"):
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```json
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{
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"image": "Image(decode=True, id=None)",
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"target": "ClassLabel(names=['Barred Spiral', 'Cigar Round Smooth', 'Distributed', 'Edge-on with Bulge', 'Edge-on without Bulge', 'In-between Round Smooth', 'Merging', 'Round Smooth', 'Unbarred Loss Spiral', 'Unbarred Tight Spiral'], id=None)"
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}
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```
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### Dataset Splits
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This dataset is split into a train and validation split. The split sizes are as follow:
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| Split name | Num samples |
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| ------------ | ------------------- |
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| train | 14188 |
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| valid | 3548 |
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processed/dataset_dict.json
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{"splits": ["train", "valid"]}
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processed/train/data-00000-of-00005.arrow
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oid sha256:ebfe2fd0b1354729b365369bebb8a07292eeb63921a11076328dd69a7c63f815
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size 405507752
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processed/train/data-00001-of-00005.arrow
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size 410499960
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processed/train/data-00002-of-00005.arrow
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size 404554280
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processed/train/data-00003-of-00005.arrow
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size 410899728
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processed/train/data-00004-of-00005.arrow
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size 402689200
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processed/train/dataset_info.json
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{
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"citation": "",
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"description": "AutoTrain generated dataset",
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"features": {
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"image": {
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"_type": "Image"
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},
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"target": {
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"names": [
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"Barred Spiral",
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"Cigar Round Smooth",
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"Distributed",
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"Edge-on with Bulge",
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"Edge-on without Bulge",
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"In-between Round Smooth",
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"Merging",
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"Round Smooth",
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"Unbarred Loss Spiral",
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"Unbarred Tight Spiral"
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],
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"_type": "ClassLabel"
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}
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},
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"homepage": "",
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"license": "",
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"splits": {
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"train": {
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"name": "train",
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"num_bytes": 2034142819,
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"num_examples": 14188,
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"dataset_name": null
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}
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}
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}
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processed/train/state.json
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{
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"_data_files": [
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{
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"filename": "data-00000-of-00005.arrow"
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},
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{
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"filename": "data-00001-of-00005.arrow"
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},
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{
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"filename": "data-00002-of-00005.arrow"
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},
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{
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"filename": "data-00003-of-00005.arrow"
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},
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{
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"filename": "data-00004-of-00005.arrow"
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}
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],
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"_fingerprint": "bec1b7f8f535111f",
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"_format_columns": [
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"image",
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"target"
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],
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"_format_kwargs": {},
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"_format_type": null,
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"_output_all_columns": false,
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"_split": null
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}
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processed/valid/data-00000-of-00002.arrow
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version https://git-lfs.github.com/spec/v1
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oid sha256:b38ecebbe057c03f49e209950ecd23db8b224a3ed1badd9fb426a5a040708f0c
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size 253742056
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processed/valid/data-00001-of-00002.arrow
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version https://git-lfs.github.com/spec/v1
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oid sha256:8e08dd7a83df2fa83659a8d4db1857200f01f2f3de6093f6e73c413bb4ba503e
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size 254695440
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processed/valid/dataset_info.json
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{
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"citation": "",
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"description": "AutoTrain generated dataset",
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"features": {
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"image": {
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"_type": "Image"
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},
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"target": {
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"names": [
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"Barred Spiral",
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"Cigar Round Smooth",
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"Distributed",
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"Edge-on with Bulge",
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"Edge-on without Bulge",
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"In-between Round Smooth",
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"Merging",
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"Round Smooth",
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"Unbarred Loss Spiral",
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"Unbarred Tight Spiral"
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],
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"_type": "ClassLabel"
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}
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},
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"homepage": "",
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"license": "",
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"splits": {
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"valid": {
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"name": "valid",
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"num_bytes": 508434901,
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"num_examples": 3548,
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"dataset_name": null
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}
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}
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}
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processed/valid/state.json
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{
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"_data_files": [
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{
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"filename": "data-00000-of-00002.arrow"
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},
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{
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"filename": "data-00001-of-00002.arrow"
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}
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],
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"_fingerprint": "00a6071cfba06be5",
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"_format_columns": [
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"image",
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"target"
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],
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"_format_kwargs": {},
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"_format_type": null,
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"_output_all_columns": false,
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"_split": null
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}
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