autotrain-data-processor
commited on
Commit
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Parent(s):
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Processed data from AutoTrain data processor ([2023-08-23 14:17 ]
Browse files- README.md +58 -0
- processed/dataset_dict.json +1 -0
- processed/train/data-00000-of-00001.arrow +3 -0
- processed/train/dataset_info.json +28 -0
- processed/train/state.json +17 -0
- processed/valid/data-00000-of-00001.arrow +3 -0
- processed/valid/dataset_info.json +28 -0
- processed/valid/state.json +17 -0
README.md
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---
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language:
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- en
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task_categories:
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- summarization
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---
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# AutoTrain Dataset for project: test-summarization
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## Dataset Description
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This dataset has been automatically processed by AutoTrain for project test-summarization.
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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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"feat_id": "13829542",
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"text": "Kasia: When are u coming back?\r\nMatt: Back where?\r\nKasia: Oh come on\r\nKasia: you know what i mean\r\nMatt: I really don't \r\nKasia: When are you coming back to Warsaw\r\nMatt: I have no idea\r\nMatt: maybe around easter\r\nKasia: will you let me know\r\nMatt: sure if I know something then I will let you know asap\r\nKasia: ok \r\nMatt: are you mad?\r\nKasia: a bit\r\nMatt: oh come on\r\nMatt: this is not my fault \r\nMatt: there is no way that I can answer that question\r\nMatt: not now\r\nKasia: Fine",
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"target": "Matt doesn't know when he's coming back to Warsaw. He might come around Easter. When he knows more, he will let Kasia know. Kasia is a bit upset."
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},
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{
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"feat_id": "13862523",
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"text": "Oliver: Have you beaten the game yet?\nTom: Not yet\nOliver: Ok... what mission are you playing?\nTom: The one before the final one, it's pretty hard\nOliver: I didn't find it particularly hard\nTom: I mean, combat is easy at this point in the game but the puzzles are difficult\nOliver: Ok, I got it\nTom: It's fun how most horror action games let you get really powerful by the end of the story\nOliver: Well, you know, being a pussy from start to finish ain't my idea of fun even in a horror game\nTom: I know... but do you remember Bioshock? You turned into some sort of superhero and the final boss was pretty much a joke\nOliver: Don't you dare talk like that about my favorite game\nTom: I know, I love it too, but it had its flaws\nOliver: No it didn't XD\nTom: Lol\nOliver: Well, keep playing\nTom: I'll let you know when I finish this one and my overall impressions\nOliver: Ok",
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"target": "Tom will contact Oliver after finishing new horror action game."
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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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"feat_id": "Value(dtype='string', id=None)",
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"text": "Value(dtype='string', id=None)",
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"target": "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 | 11785 |
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| valid | 2947 |
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processed/dataset_dict.json
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{"splits": ["train", "valid"]}
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processed/train/data-00000-of-00001.arrow
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version https://git-lfs.github.com/spec/v1
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oid sha256:b2ad82992a82f5eab18a673da7ea80c28705cf214b17fa26ee7a9ed278c3591a
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size 7565056
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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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"feat_id": {
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"dtype": "string",
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"_type": "Value"
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},
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"text": {
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"dtype": "string",
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"_type": "Value"
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},
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"target": {
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"dtype": "string",
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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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"splits": {
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"train": {
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"name": "train",
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"num_bytes": 7560765,
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"num_examples": 11785,
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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-00001.arrow"
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}
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],
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"_fingerprint": "898f75eb01f375c3",
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"_format_columns": [
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"feat_id",
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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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"_output_all_columns": false,
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"_split": null
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}
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processed/valid/data-00000-of-00001.arrow
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version https://git-lfs.github.com/spec/v1
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oid sha256:cd535c0e33061dc55924cd101d051b875a442508295f5d51e44f32468ab12b6f
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size 1919752
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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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"feat_id": {
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"dtype": "string",
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"_type": "Value"
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},
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"text": {
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"dtype": "string",
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"_type": "Value"
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},
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"target": {
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"dtype": "string",
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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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"splits": {
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"valid": {
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"name": "valid",
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"num_bytes": 1918352,
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"num_examples": 2947,
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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-00001.arrow"
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}
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],
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"_fingerprint": "f2c5d880317cec18",
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"_format_columns": [
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"feat_id",
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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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"_output_all_columns": false,
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"_split": null
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}
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