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---
language:
- en
license: odc-by
size_categories:
- 100K<n<1M
task_categories:
- sentence-similarity
dataset_info:
- config_name: default
features:
- name: sentence1
dtype: string
- name: sentence2
dtype: string
- name: label
dtype: string
splits:
- name: train
num_bytes: 144780011.33594054
num_examples: 942069
- name: validation
num_bytes: 3020947.173540986
num_examples: 19657
- name: test
num_bytes: 3020793.490518473
num_examples: 19656
download_size: 72629620
dataset_size: 150821752
- config_name: float-labels
features:
- name: sentence1
dtype: string
- name: sentence2
dtype: string
- name: label
dtype: float64
splits:
- name: train
num_bytes: 138755142
num_examples: 942069
- name: validation
num_bytes: 3034127
num_examples: 19657
- name: test
num_bytes: 3142127
num_examples: 19656
download_size: 72653539
dataset_size: 144931396
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
- config_name: float-labels
data_files:
- split: train
path: float-labels/train-*
- split: validation
path: float-labels/validation-*
- split: test
path: float-labels/test-*
---
this is literally the allNLI example dataset but parsed and reformatted as HF datasets parquet.
## token counts
### sentence1 column
bert-base-uncased token count:
```
token_count
count 942069.000000
mean 20.834934
std 12.953432
min 3.000000
25% 13.000000
50% 17.000000
75% 25.000000
max 428.000000
```
- Total count: 19.63 M tokens
google/bigbird-roberta-base token count:
```
token_count
count 942069.000000
mean 20.678186
std 12.618819
min 3.000000
25% 13.000000
50% 17.000000
75% 25.000000
max 407.000000
```
- Total count: 19.48 M tokens
### sentence2 column
bert-base-uncased token count:
```
token_count
count 942069.000000
mean 12.058493
std 4.507284
min 0.000000
25% 9.000000
50% 11.000000
75% 14.000000
max 77.000000
```
- Total count: 11.36 M tokens
google/bigbird-roberta-base token count:
```
token_count
count 942069.000000
mean 12.003818
std 4.423798
min 0.000000
25% 9.000000
50% 11.000000
75% 14.000000
max 79.000000
```
- Total count: 11.31 M tokens |