Table · dataset · 2022
emrecan/nli_tr_for_simcse
Listed in Hugging Face Datasets
NLI-TR for Supervised SimCSE This dataset is a modified version of NLI-TR dataset.
Description
Its intended use is to train Supervised SimCSE models for sentence-embeddings. Steps followed to produce this dataset are listed below: Merge train split of snli_tr and multinli_tr subsets.
Find every premise that has an entailment hypothesis and a contradiction hypothesis. Write found triplets into sent0 (premise), sent1 (entailment hypothesis), hard_neg (contradiction hypothesis) format. See this… See the full description on the dataset page: huggingface.co/datasets/emrecan/nli_tr_for_simcse.
Links
Where it is published
- Hugging Face dataset page huggingface.co/datasets/emrecan/nli_tr_for_simcse ↗
landing page · from Hugging Face
Catalogue records · 1
- Hub API huggingface.co/api/datasets/emrecan/nli_tr_for_simcse ↗
metadata API · from Hugging Face
Topics
- Stated by source
- text · text classification
- From keywords
- Computer Science & AI
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Hugging Face Datasets | emrecan/nli_tr_for_simcse | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · Hugging Face | connector:huggingface@1.0.0 | /gated |
| concepts[field].local:field:computer-science-ai | mapping · Hugging Face | connector:huggingface@1.0.0 | |
| concepts[modality].hf_modality:text | source · Hugging Face | connector:huggingface@1.0.0 | |
| concepts[task].hf_task:text-classification | source · Hugging Face | connector:huggingface@1.0.0 | /tags[task_categories:*] |
| created_date | source · Hugging Face | connector:huggingface@1.0.0 | |
| description | source · Hugging Face | connector:huggingface@1.0.0 | /description |
| publication_date | source · Hugging Face | connector:huggingface@1.0.0 | |
| title | source · Hugging Face | connector:huggingface@1.0.0 | /id |
| updated_date | source · Hugging Face | connector:huggingface@1.0.0 |