VAD_KnessetCorpus

This dataset extends the original Knesset Corpus by adding VAD (Valence, Arousal, Dominance) annotations to committee sentences.

The VAD scores were generated using the VAD binomial regression models, which were developed specifically for VAD prediction, on embeddings produced by the Knesset-multi-e5-large.

Additionally, a small subset of 120 Knesset sentences has been manually annotated by three annotators for VAD scores, and the file is available in the repository.

VAD_scores:

• Valence (or pleasure) measures the positivity or negativity of an emotion on a scale from 0 to 1.

• Arousal quantifies the intensity of an emotion, from calm to excited on a scale from 0 to 1.

• Dominance represents the degree of control conveyed by a word, from submissive to dominant on a scale from 0 to 1.

Usage

After dowloading and extracting jsonl file from here: https://huggingface.co/datasets/GiliGold/VAD_KnessetCorpus/tree/main

vad_shard_path = "women_rights_vad_shards_bzip2_files\vad_shard_0.jsonl" #adjust path accordingly

with open(vad_shard_path, encoding="utf-8") as vad_file:
  for line in vad_file:
      sentence_entity = json.loads(line)
      sentence_text = sentence_entity["sentence_text"]
      v = sentence_entity["vad_values"]["valence"]
      a = sentence_entity["vad_values"]["arousal"]
      d = sentence_entity["vad_values"]["dominance"]
      print(f'sentence text: {sentence_text}')
      print(f'valence value is: {v}')