Processed data from AutoTrain data processor ([2023-04-22 08:00 ]

README.md

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+---
+task_categories:
+- summarization
+
+---
+# AutoTrain Dataset for project: uta-ai-j-pop
+
+## Dataset Description
+
+This dataset has been automatically processed by AutoTrain for project uta-ai-j-pop.
+
+### Languages
+
+The BCP-47 code for the dataset's language is unk.
+
+## Dataset Structure
+
+### Data Instances
+
+A sample from this dataset looks as follows:
+
+```json
+[
+  {
+    "text": "Drink dry tears love pain destiny enough half selfless love and said anyway crazy shadows",
+    "target": "Inexperienced and heartless, but be beautiful\nNo Destiny, unworthy\nI'm sure this is not enough\nIf you talk about it, it will go well\nThings, money, love, words, I'm tired of showing off\nD\u00e9j\u00e0 vu What's so frustrating?\nWhat more do you need than this?\nI don't hate places like that\n\"I'm tired of hearing that line\"\nI hate being half-hearted\nenough\nYou said like this\nlove how she I was told\nIf it's just for fun, it's easy, serious negotiations are unreasonable\nUnthinkable light words\nHow many times do you use it?\nAnyway\nI was expecting it, even if it was a good race\nPhrases full of quotes\nMake words that lift your heels taboo\nI read the air, don't let it rain\nI don't like boring stories\nPlease use the minimum required number of 2 characters or less\nCrimson Butterfly does not send any mail\nSpreading a fragile fan, she would be more attractive that way\nin confusion\nIf you can't respond, leave me alone\nIf you're at a loss, please leave\nThe most important thing is that you can just let go and feel at ease\nIf it rains sweet candy\nYou want an umbrella too, don't you?\nlike this\nI closed my eyes\nI wanted to change, pretending to be grown-up\nI lost it, I couldn't rewind it\nDon't stop raining now\ncopy paste delete repeat\ninhaled and exhaled\nthat's why\nI don't care, I want to stay here\nenough\nYou said like this\nlove how she I was told\nIf it's just for fun, it's easy, serious negotiations are incoherent\nThe unthinkable heavy truth\nShouldn't it be taboo?\nsurely\nI was expecting it, even if it was a good race\nOfficial phrases too\nStop the habit of raising your heels\nDon't let the sky clear when you read the air\nrain again today\nClose your umbrella and let's go home wet"
+  },
+  {
+    "text": "Without heart broken love tears kill mine lovely loneliness easier crying close and hug chose",
+    "target": "Hey, if everything is thrown away\nDoes laughing make life easier?\nMy chest hurts again\ndon't say anything anymore\nHey, if everything is forgotten\nWill it be easier to live without crying?\nBut I can't do that\ndon't show me anything anymore\nno matter how close i get to you\ni only have one heart\nIt's cruel, it's cruel, I'd rather take my body\nBreak it, tear it apart, do whatever you want\nEven if I scream and struggle and my eyelids swell\nYou still hug me and won't let go\nthat's enough\nHey, if my wish could come true\ni want the same thing as you\nBut I don't exist\nThen at least come here\nno matter how much i love you\ni only have one heart\nStop it, stop it, don't be nice\nI just can't understand\nIt hurts, it hurts, tell me in words\nI don't know this, don't leave me alone\nIt's cruel, it's cruel, I'd rather take my body\nBreak it, tear it apart, do whatever you want\nEven if I scream, scratch my eyes, and swell my eyelids\nYou still hug me and won't let go\nthat's enough\nHey, if I have a heart\nhow do i find it\nyou smile a little and say\nit's right here"
+  }
+]
+```
+
+### Dataset Fields
+
+The dataset has the following fields (also called "features"):
+
+```json
+{
+  "text": "Value(dtype='string', id=None)",
+  "target": "Value(dtype='string', id=None)"
+}
+```
+
+### Dataset Splits
+
+This dataset is split into a train and validation split. The split sizes are as follow:
+
+| Split name   | Num samples         |
+| ------------ | ------------------- |
+| train        | 5 |
+| valid        | 2 |

processed/dataset_dict.json

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+{"splits": ["train", "valid"]}

processed/train/data-00000-of-00001.arrow

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+size 8744

processed/train/dataset_info.json

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+{
+  "citation": "",
+  "description": "AutoTrain generated dataset",
+  "features": {
+    "text": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "target": {
+      "dtype": "string",
+      "_type": "Value"
+    }
+  },
+  "homepage": "",
+  "license": "",
+  "splits": {
+    "train": {
+      "name": "train",
+      "num_bytes": 8149,
+      "num_examples": 5,
+      "dataset_name": null
+    }
+  }
+}

processed/train/state.json

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+{
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+    {
+      "filename": "data-00000-of-00001.arrow"
+    }
+  ],
+  "_fingerprint": "08ceedddcd4fb1a0",
+  "_format_columns": [
+    "target",
+    "text"
+  ],
+  "_format_kwargs": {},
+  "_format_type": null,
+  "_output_all_columns": false,
+  "_split": null
+}

processed/valid/data-00000-of-00001.arrow

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+oid sha256:9da2be1f9581e94d2f60ea246a371ea2ebdf9e00120462b3fa356816e5155f9b
+size 3144

processed/valid/dataset_info.json

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+{
+  "citation": "",
+  "description": "AutoTrain generated dataset",
+  "features": {
+    "text": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "target": {
+      "dtype": "string",
+      "_type": "Value"
+    }
+  },
+  "homepage": "",
+  "license": "",
+  "splits": {
+    "valid": {
+      "name": "valid",
+      "num_bytes": 2545,
+      "num_examples": 2,
+      "dataset_name": null
+    }
+  }
+}

processed/valid/state.json

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+{
+  "_data_files": [
+    {
+      "filename": "data-00000-of-00001.arrow"
+    }
+  ],
+  "_fingerprint": "112871fc4cbd1b76",
+  "_format_columns": [
+    "target",
+    "text"
+  ],
+  "_format_kwargs": {},
+  "_format_type": null,
+  "_output_all_columns": false,
+  "_split": null
+}