
# Dataset Card for SyNLI
A synthetic NLI datasets from open domain sentences using T5 as data synthesizer. The data can be used to train sentence embedding models.

## Data Fields
The data have several fields:
- `sent0`: premise as a string
- `sent1`: entailment hypothesis as a string
- `hard_neg`: contradiction hypothesis as a string

license:odc-by region:us
{"license": "odc-by", "dataset_info": {"features": [{"name": "sent0", "dtype": "string"}, {"name": "sent1", "dtype": "string"}, {"name": "hard_neg", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 11441750654, "num_examples": 60939492}], "download_size": 6904073153, "dataset_size": 11441750654}}
TAGS
#license-odc-by #region-us 


# Dataset Card for SyNLI
A synthetic NLI datasets from open domain sentences using T5 as data synthesizer. The data can be used to train sentence embedding models.

## Data Fields
The data have several fields:
- 'sent0': premise as a string
- 'sent1': entailment hypothesis as a string
- 'hard_neg': contradiction hypothesis as a string

# Dataset Card for SyNLI
A synthetic NLI datasets from open domain sentences using T5 as data synthesizer. The data can be used to train sentence embedding models. ## Data Fields
The data have several fields:
- 'sent0': premise as a string
- 'sent1': entailment hypothesis as a string
- 'hard_neg': contradiction hypothesis as a string
TAGS
#license-odc-by #region-us 
 # Dataset Card for SyNLI
A synthetic NLI datasets from open domain sentences using T5 as data synthesizer. The data can be used to train sentence embedding models. ## Data Fields
The data have several fields:
- 'sent0': premise as a string
- 'sent1': entailment hypothesis as a string
- 'hard_neg': contradiction hypothesis as a string