autotrain-data-processor
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Processed data from AutoTrain data processor ([2022-12-04 04:44 ]
Browse files- README.md +58 -0
- processed/dataset_dict.json +1 -0
- processed/train/dataset.arrow +3 -0
- processed/train/dataset_info.json +42 -0
- processed/train/state.json +18 -0
- processed/valid/dataset.arrow +3 -0
- processed/valid/dataset_info.json +42 -0
- processed/valid/state.json +18 -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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- conditional-text-generation
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---
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# AutoTrain Dataset for project: whatsapp_chat_summarization
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## Dataset Description
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This dataset has been automatically processed by AutoTrain for project whatsapp_chat_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": "13682435",
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"text": "Ella: Hi, did you get my text?\nJesse: Hey, yeah sorry- It's been crazy here. I'll collect Owen, don't worry about it :)\nElla: Oh thank you!! You're a lifesaver!\nJesse: It's not problem ;) Good luck with your meeting!!\nElla: Thanks again! :)",
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"target": "Jesse will collect Owen so that Ella can go for a meeting."
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},
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{
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"feat_id": "13728090",
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"text": "William: Hey. Today i saw you were arguing with Blackett.\nWilliam: Are you guys fine?\nElizabeth: Hi. Sorry you had to see us argue.\nElizabeth: It was just a small misunderstanding but we will solve it.\nWilliam: Hope so\nWilliam: You think I should to talk to him about it?\nElizabeth: No don't\nElizabeth: He won't like it that we talked after the argument.\nWilliam: Ok. But if you need any help, don't hesitate to call me\nElizabeth: Definitely",
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"target": "Elizabeth had an argument with Blackett today, but she doesn't want William to intermeddle."
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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 | 1600 |
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| valid | 400 |
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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 sha256:64fcd275a73743a0a9af5ce119463246462b3314289ead7cb1f7d2573c436837
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size 1029264
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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": "AutoTrain 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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"feat_id": {
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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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"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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"target": {
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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": 1028136,
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"num_examples": 1600,
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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": "3e06001ed05566fa",
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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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"_indexes": {},
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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 sha256:26cb0c85be1cef5fec254784095b8cbe9295313c9abd68cb82736b0aa5c8e38f
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size 260928
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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": "AutoTrain 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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"feat_id": {
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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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"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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"target": {
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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": 260124,
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"num_examples": 400,
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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": "0dfab300fec0a1da",
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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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"_indexes": {},
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"_output_all_columns": false,
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"_split": null
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}
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