Datasets:
Tasks:
Text Generation
Modalities:
Text
Formats:
parquet
Size:
10M - 100M
ArXiv:
Tags:
reasoning
latent-thoughts
latent-variable-models
expectation-maximization
self-improvement
mathematics
License:
metadata
license: apache-2.0
task_categories:
- text-generation
tags:
- reasoning
- latent-thoughts
- latent-variable-models
- expectation-maximization
- self-improvement
- mathematics
dataset_info:
- config_name: finemath_4plus_final_2b_separated_bootstrap_split
features:
- name: text
dtype: string
- name: metadata
dtype: string
splits:
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finemath_4plus_final_2b_separated_bootstrap_split_with_bootstrap_latents_setup_bootstrap_fixed_data_iter_1_mc_4
features:
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- config_name: >-
finemath_4plus_final_2b_separated_bootstrap_split_with_bootstrap_latents_setup_bootstrap_fixed_data_iter_2_mc_4
features:
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- config_name: >-
finemath_4plus_final_2b_separated_bootstrap_split_with_bootstrap_latents_setup_bootstrap_fixed_data_iter_3_mc_4
features:
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finemath_4plus_final_2b_separated_bootstrap_split_with_bootstrap_latents_setup_bootstrap_fixed_data_iter_4_mc_4
features:
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- config_name: finemath_4plus_final_500m_warmstart_split
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- config_name: finemath_4plus_final_500m_warmstart_split_with_gpt_latent_thoughts_latents
features:
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- config_name: finemath_4plus_final_500m_warmstart_split_with_wrap_baseline_latents
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- config_name: finemath_4plus_final_500m_warmstart_split_with_wrap_cot_latents
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- config_name: finemath_4plus_final_fixed_val_split
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splits:
- name: train
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- config_name: finetune_gsm8k
features:
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struct:
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- name: answer
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- name: text
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- name: train
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- name: validation
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dataset_size: 14974907
- config_name: finetune_math
features:
- name: doc
struct:
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dtype: string
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dtype: string
- name: answer
dtype: string
- name: level
dtype: string
- name: type
dtype: string
- name: text
dtype: string
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- name: validation
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num_examples: 750
download_size: 14502759
dataset_size: 31030463
configs:
- config_name: finemath_4plus_final_2b_separated_bootstrap_split
data_files:
- split: train
path: finemath_4plus_final_2b_separated_bootstrap_split/train-*
- config_name: >-
finemath_4plus_final_2b_separated_bootstrap_split_with_bootstrap_latents_setup_bootstrap_fixed_data_iter_1_mc_4
data_files:
- split: train
path: >-
finemath_4plus_final_2b_separated_bootstrap_split_with_bootstrap_latents_setup_bootstrap_fixed_data_iter_1_mc_4/train-*
- config_name: >-
finemath_4plus_final_2b_separated_bootstrap_split_with_bootstrap_latents_setup_bootstrap_fixed_data_iter_2_mc_4
data_files:
- split: train
path: >-
finemath_4plus_final_2b_separated_bootstrap_split_with_bootstrap_latents_setup_bootstrap_fixed_data_iter_2_mc_4/train-*
- config_name: >-
finemath_4plus_final_2b_separated_bootstrap_split_with_bootstrap_latents_setup_bootstrap_fixed_data_iter_3_mc_4
data_files:
- split: train
path: >-
finemath_4plus_final_2b_separated_bootstrap_split_with_bootstrap_latents_setup_bootstrap_fixed_data_iter_3_mc_4/train-*
- config_name: >-
finemath_4plus_final_2b_separated_bootstrap_split_with_bootstrap_latents_setup_bootstrap_fixed_data_iter_4_mc_4
data_files:
- split: train
path: >-
finemath_4plus_final_2b_separated_bootstrap_split_with_bootstrap_latents_setup_bootstrap_fixed_data_iter_4_mc_4/train-*
- config_name: finemath_4plus_final_500m_warmstart_split
data_files:
- split: train
path: finemath_4plus_final_500m_warmstart_split/train-*
- config_name: finemath_4plus_final_500m_warmstart_split_with_gpt_latent_thoughts_latents
data_files:
- split: train
path: >-
finemath_4plus_final_500m_warmstart_split_with_gpt_latent_thoughts_latents/train-*
- config_name: finemath_4plus_final_500m_warmstart_split_with_wrap_baseline_latents
data_files:
- split: train
path: >-
finemath_4plus_final_500m_warmstart_split_with_wrap_baseline_latents/train-*
- config_name: finemath_4plus_final_500m_warmstart_split_with_wrap_cot_latents
data_files:
- split: train
path: >-
finemath_4plus_final_500m_warmstart_split_with_wrap_cot_latents/train-*
- config_name: finemath_4plus_final_fixed_val_split
data_files:
- split: train
path: finemath_4plus_final_fixed_val_split/train-*
- config_name: finetune_gsm8k
data_files:
- split: test
path: finetune_gsm8k/test-*
- split: train
path: finetune_gsm8k/train-*
- split: validation
path: finetune_gsm8k/validation-*
- config_name: finetune_math
data_files:
- split: test
path: finetune_math/test-*
- split: train
path: finetune_math/train-*
- split: validation
path: finetune_math/validation-*
This dataset is associated with the paper Reasoning to Learn from Latent Thoughts. It contains data used for pretraining language models with a focus on improving data efficiency by modeling and inferring latent thoughts underlying the text generation process, such as on reasoning-intensive math corpus. An expectation-maximization algorithm is developed for models to self-improve their self-generated thoughts and data efficiency.