license:mit size_categories:n<1K format:parquet library:datasets library:pandas library:mlcroissant library:polars region:us
---
license: mit
dataset_info:
- config_name: compute_EQKE_SVD_analysis
  features:
  - name: data
    dtype: binary
  splits:
  - name: alldata
    num_bytes: 2219447
    num_examples: 1
  download_size: 653357
  dataset_size: 2219447
- config_name: cubic_count_verify_proof__n_ctx_5
  features:
  - name: data
    dtype: binary
  splits:
  - name: alldata
    num_bytes: 516
    num_examples: 1
  download_size: 4148
  dataset_size: 516
- config_name: importance_sample_instruction_count_30_n_ctx_5
  features:
  - name: data
    dtype: binary
  splits:
  - name: alldata
    num_bytes: 175
    num_examples: 1
  download_size: 1899
  dataset_size: 175
- config_name: run_batch_loss_accuracy
  features:
  - name: data
    dtype: binary
  splits:
  - name: alldata
    num_bytes: 21848409
    num_examples: 1
  download_size: 4976203
  dataset_size: 21848409
- config_name: train_or_load_model
  features:
  - name: data
    dtype: binary
  splits:
  - name: alldata
    num_bytes: 74045629
    num_examples: 1
  download_size: 12091835
  dataset_size: 74045629
configs:
- config_name: compute_EQKE_SVD_analysis
  data_files:
  - split: alldata
    path: compute_EQKE_SVD_analysis/alldata-*
- config_name: cubic_count_verify_proof__n_ctx_5
  data_files:
  - split: alldata
    path: cubic_count_verify_proof__n_ctx_5/alldata-*
- config_name: importance_sample_instruction_count_30_n_ctx_5
  data_files:
  - split: alldata
    path: importance_sample_instruction_count_30_n_ctx_5/alldata-*
- config_name: run_batch_loss_accuracy
  data_files:
  - split: alldata
    path: run_batch_loss_accuracy/alldata-*
- config_name: train_or_load_model
  data_files:
  - split: alldata
    path: train_or_load_model/alldata-*
---
