microsoft / microsoft/TUTA_table_understanding

Could you give me the three datasets WebSheet, SAUS, and CIUS for "Cell Type Classification"?

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Description

@HaoAreYuDong

Could you give me the three datasets WebSheet, SAUS, and CIUS for "Cell Type Classification"?

I would like to have the data after conversion to TUTA input format.

Could you please tell me the command line arguments when you fine-tune with the TUTA-implicit model?

"--hidden_size", type=int, default=768
"--intermediate_size", type=int, default=3072
"--magnitude_size", type=int, default=10
"--precision_size", type=int, default=10
"--top_digit_size", type=int, default=10
"--low_digit_size", type=int, default=10
"--max_cell_length", type=int, default=16
"--row_size", type=int, default=2560
"--column_size", type=int, default=2560
"--tree_depth", type=int, default=4
"--node_degree", type=str, default="32,32,64,256"
"--attention_distance", type=int, default=2
"--attention_step", type=int, default=0
"--num_attention_heads", type=int, default=12
"--num_encoder_layers", type=int, default=12
"--hidden_dropout_prob", type=int, default=0.1
"--attention_dropout_prob", type=int, default=0.1
"--layer_norm_eps", type=float, default=1e-6
"--hidden_act", type=str, default="gelu"
"--learning_rate", type=float, default=8e-6

"--max_seq_len", type=int, default=512
"--max_cell_num", type=int, default=256
"--text_threshold", type=float, default=0.5
"--value_threshold", type=float, default=0.1
"--clc_rate", type=float, default=0.3
"--wcm_rate", type=float, default=0.3
"--add_separate", type=bool, default=True
"--num_ctc_type", type=int, default=6

"--attn_method", type=str, default="add", choices=["max", "add"]
"--hier_or_flat", type=str, default="both", choices=["hier", "flat", "both"]
"--org_or_weigh", type=str, default="original", choices=["original", "weighted"]
"--num_format_feature", type=int, default=11
"--sep_or_tok", type=int, default=0, choices=[0, 1]
"--sep_weight", type=float, default=0.0
"--aggregator", type=str, default="sum", choices=["sum", "avg"]

"--target", type=str, default="tuta"

"--batch_size", type=int, default=2
"--report_steps", type=int, default=200
"--epochs_num", type=int, default=40
"--dataset_num", type=int, default=1
"--early_stopping_bound", type=int, default=100

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Research direction

No files, tests, or entry points are mentioned. Start by locating the TUTA-implicit fine-tuning entry point and dataset conversion workflow; done means the WebSheet, SAUS, and CIUS datasets are available in TUTA input format with the requested fine-tuning arguments documented.

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Assessment

Tech stack
python
Domain
data, machine-learning
Issue type
Documentation
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
20/100

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