autonlp-data-processor
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Processed data from autonlp data processor ([2022-01-28 16:20 ]
Browse files- README.md +63 -0
- processed/dataset_dict.json +1 -0
- processed/train/dataset.arrow +3 -0
- processed/train/dataset_info.json +44 -0
- processed/train/state.json +18 -0
- processed/valid/dataset.arrow +3 -0
- processed/valid/dataset_info.json +44 -0
- processed/valid/state.json +18 -0
README.md
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---
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languages:
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- en
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task_categories:
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- text-classification
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---
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# AutoNLP Dataset for project: user-review-classification
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## Table of content
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- [Dataset Description](#dataset-description)
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- [Languages](#languages)
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- [Dataset Structure](#dataset-structure)
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- [Data Instances](#data-instances)
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- [Data Fields](#data-fields)
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- [Data Splits](#data-splits)
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## Dataset Descritpion
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This dataset has been automatically processed by AutoNLP for project user-review-classification.
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### Languages
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The BCP-47 code for the dataset's language is en.
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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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"text": "awful",
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"target": 3
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},
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{
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"text": "it says you can only read three stories a month and yet everything i clicked on was blank and now it[...]",
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"target": 2
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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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"target": "ClassLabel(num_classes=4, names=['CONTENT', 'INTERFACE', 'SUBSCRIPTION', 'USER_EXPERIENCE'], names_file=None, id=None)",
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"text": "Value(dtype='string', 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 | 275 |
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| valid | 71 |
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processed/dataset_dict.json
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{"splits": ["train", "valid"]}
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processed/train/dataset.arrow
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version https://git-lfs.github.com/spec/v1
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oid sha256:fcbfc20866f9dff16abea3727413669e28e17d59215b3b8cc2f1b728912fb7af
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size 32224
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processed/train/dataset_info.json
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{
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"builder_name": null,
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"citation": "",
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"config_name": null,
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"dataset_size": null,
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"description": "AutoNLP generated dataset",
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"download_checksums": null,
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"download_size": null,
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"features": {
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"target": {
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"num_classes": 4,
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"names": [
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"CONTENT",
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"INTERFACE",
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"SUBSCRIPTION",
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"USER_EXPERIENCE"
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],
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"names_file": null,
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"id": null,
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"_type": "ClassLabel"
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},
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"text": {
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"dtype": "string",
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"id": null,
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"_type": "Value"
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}
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},
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"homepage": "",
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"license": "",
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"post_processed": null,
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"post_processing_size": null,
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"size_in_bytes": null,
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"splits": {
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"train": {
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"name": "train",
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"num_bytes": 31617,
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"num_examples": 275,
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"dataset_name": null
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}
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},
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"supervised_keys": null,
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"task_templates": null,
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"version": null
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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": "dataset.arrow"
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}
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],
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"_fingerprint": "3f3ada557d07eb2b",
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"_format_columns": [
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"target",
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"text"
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],
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"_format_kwargs": {},
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"_format_type": null,
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"_indexes": {},
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"_indices_data_files": 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/dataset.arrow
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version https://git-lfs.github.com/spec/v1
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oid sha256:537677666af66f9f78dd7a25383cf4c6c2d345327ba9f618e5a561bde76c47b1
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size 8840
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processed/valid/dataset_info.json
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{
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"builder_name": null,
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"citation": "",
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"config_name": null,
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"dataset_size": null,
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"description": "AutoNLP generated dataset",
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"download_checksums": null,
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"download_size": null,
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"features": {
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"target": {
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"num_classes": 4,
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"names": [
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"CONTENT",
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"INTERFACE",
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"SUBSCRIPTION",
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"USER_EXPERIENCE"
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],
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"names_file": null,
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"id": null,
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"_type": "ClassLabel"
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},
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"text": {
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"dtype": "string",
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"id": null,
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"_type": "Value"
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}
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},
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"homepage": "",
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"license": "",
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"post_processed": null,
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"post_processing_size": null,
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"size_in_bytes": null,
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"splits": {
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"valid": {
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"name": "valid",
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"num_bytes": 8236,
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"num_examples": 71,
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"dataset_name": null
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}
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},
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"supervised_keys": null,
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"task_templates": null,
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"version": null
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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": "dataset.arrow"
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}
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],
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"_fingerprint": "1bd1a20c624052ae",
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"_format_columns": [
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"target",
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"text"
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],
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"_format_kwargs": {},
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"_format_type": null,
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"_indexes": {},
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"_indices_data_files": null,
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"_output_all_columns": false,
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"_split": null
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}
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