autotrain-data-processor
commited on
Commit
•
564a409
1
Parent(s):
ea412a3
Processed data from AutoTrain data processor ([2022-05-10 20:51 ]
Browse files- README.md +145 -0
- processed/dataset_dict.json +1 -0
- processed/train/dataset.arrow +3 -0
- processed/train/dataset_info.json +192 -0
- processed/train/state.json +48 -0
- processed/valid/dataset.arrow +3 -0
- processed/valid/dataset_info.json +192 -0
- processed/valid/state.json +48 -0
README.md
ADDED
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---
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{}
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---
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# AutoTrain Dataset for project: tpsmay22
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## Dataset Descritpion
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This dataset has been automatically processed by AutoTrain for project tpsmay22.
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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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"id": 828849,
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"feat_f_00": 0.5376503535622164,
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"feat_f_01": 1.943782180890636,
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"feat_f_02": 0.9135609975277558,
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"feat_f_03": 1.8069627709531364,
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"feat_f_04": 0.2608497764144719,
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"feat_f_05": 0.2210137962869367,
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+
"feat_f_06": -0.2041958755583295,
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+
"feat_f_07": 1,
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"feat_f_08": 3,
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"feat_f_09": 1,
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"feat_f_10": 3,
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"feat_f_11": 7,
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"feat_f_12": 1,
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"feat_f_13": 1,
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"feat_f_14": 3,
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"feat_f_15": 3,
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"feat_f_16": 0,
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"feat_f_17": 3,
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+
"feat_f_18": 3,
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+
"feat_f_19": -2.224980946907772,
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+
"feat_f_20": -0.0497802292031301,
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"feat_f_21": -3.926047324073047,
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"feat_f_22": 3.518427812720448,
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"feat_f_23": -3.682602827653292,
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"feat_f_24": -0.391453171033426,
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"feat_f_25": 1.519591066386293,
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"feat_f_26": 1.689261040286172,
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"feat_f_27": "AEBCBAHLAC",
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+
"feat_f_28": 379.1152852815462,
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"feat_f_29": 0,
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"feat_f_30": 1,
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"target": 0.0
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},
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{
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"id": 481680,
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"feat_f_00": 0.067304409313422,
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+
"feat_f_01": -2.1380257328497443,
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"feat_f_02": -1.071190705030414,
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"feat_f_03": -0.632098414262756,
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"feat_f_04": -0.6884213952425722,
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"feat_f_05": 0.9001794148519768,
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"feat_f_06": 1.0522875373816212,
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"feat_f_07": 2,
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"feat_f_08": 2,
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"feat_f_09": 2,
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"feat_f_10": 2,
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"feat_f_11": 3,
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"feat_f_12": 4,
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"feat_f_13": 4,
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"feat_f_14": 1,
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"feat_f_15": 3,
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"feat_f_16": 1,
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"feat_f_17": 2,
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"feat_f_18": 4,
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"feat_f_19": -0.1749962904609809,
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"feat_f_20": -2.14813633573821,
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"feat_f_21": -1.959294186862138,
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"feat_f_22": -0.0458843535688706,
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"feat_f_23": 0.7256376584744342,
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"feat_f_24": -2.5463878383279823,
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"feat_f_25": 2.3352097148227915,
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"feat_f_26": 0.4798465276880099,
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"feat_f_27": "BCBBDBFLCA",
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"feat_f_28": -336.9163876318925,
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"feat_f_29": 1,
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"feat_f_30": 0,
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"target": 0.0
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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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"id": "Value(dtype='int64', id=None)",
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"feat_f_00": "Value(dtype='float64', id=None)",
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"feat_f_01": "Value(dtype='float64', id=None)",
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"feat_f_02": "Value(dtype='float64', id=None)",
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"feat_f_03": "Value(dtype='float64', id=None)",
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"feat_f_04": "Value(dtype='float64', id=None)",
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"feat_f_05": "Value(dtype='float64', id=None)",
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"feat_f_06": "Value(dtype='float64', id=None)",
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"feat_f_07": "Value(dtype='int64', id=None)",
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"feat_f_08": "Value(dtype='int64', id=None)",
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"feat_f_09": "Value(dtype='int64', id=None)",
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"feat_f_10": "Value(dtype='int64', id=None)",
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"feat_f_11": "Value(dtype='int64', id=None)",
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"feat_f_12": "Value(dtype='int64', id=None)",
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"feat_f_13": "Value(dtype='int64', id=None)",
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"feat_f_14": "Value(dtype='int64', id=None)",
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"feat_f_15": "Value(dtype='int64', id=None)",
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"feat_f_16": "Value(dtype='int64', id=None)",
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"feat_f_17": "Value(dtype='int64', id=None)",
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"feat_f_18": "Value(dtype='int64', id=None)",
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"feat_f_19": "Value(dtype='float64', id=None)",
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"feat_f_20": "Value(dtype='float64', id=None)",
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"feat_f_21": "Value(dtype='float64', id=None)",
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"feat_f_22": "Value(dtype='float64', id=None)",
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"feat_f_23": "Value(dtype='float64', id=None)",
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"feat_f_24": "Value(dtype='float64', id=None)",
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"feat_f_25": "Value(dtype='float64', id=None)",
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"feat_f_26": "Value(dtype='float64', id=None)",
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"feat_f_27": "Value(dtype='string', id=None)",
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"feat_f_28": "Value(dtype='float64', id=None)",
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"feat_f_29": "Value(dtype='int64', id=None)",
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"feat_f_30": "Value(dtype='int64', id=None)",
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"target": "Value(dtype='float32', 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 | 719999 |
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| valid | 180001 |
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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 sha256:43265bdd250aab26601eef2f37345d9bc3f9a5f8445a46d976f9a067230d09ee
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size 192750664
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processed/train/dataset_info.json
ADDED
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