metadata
dataset_info:
features:
- name: id
dtype: string
- name: submitter
dtype: string
- name: authors
dtype: string
- name: title
dtype: string
- name: comments
dtype: string
- name: journal-ref
dtype: string
- name: doi
dtype: string
- name: report-no
dtype: string
- name: categories
dtype: string
- name: license
dtype: string
- name: orig_abstract
dtype: string
- name: versions
list:
- name: created
dtype: string
- name: version
dtype: string
- name: update_date
dtype: string
- name: authors_parsed
sequence:
sequence: string
- name: abstract
dtype: string
- name: prompt
dtype: string
- name: y_true
dtype: string
- name: comp_s2-L-3.1-8B-base
dtype: string
- name: preds_s2-L-3.1-8B-base
dtype: string
- name: comp_Llama-3.1-8B
dtype: string
- name: preds_Llama-3.1-8B
dtype: string
- name: score_s2-L-3.1-8B-base
dtype: float64
- name: score_Llama-3.1-8B
dtype: float64
splits:
- name: test
num_bytes: 266184628
num_examples: 29387
download_size: 116527457
dataset_size: 266184628
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
A copy of the dataset LLMsForHepth/infer_hep-ph_gr-qc with additional columns
score_Llama-3.1-8B and score_s2-L-3.1-8B-base.
The additional columns contain the cosine similarities between the sequences in abstract and y_pred where y_pred is taken from
[comp_Llama-3.1-8B, comp_s2-L-3.1-8B-base]. The model used to create the embeddings is sentence-transformers/all-mpnet-base-v2.