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Update embed_full_personas.py for missing keys in map_relation #2

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Update embed_full_personas.py for missing keys in map_relation #2

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27 changes: 18 additions & 9 deletions induce_retrieve_pipeline/embed_full_personas.py
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Original file line number Diff line number Diff line change
Expand Up @@ -10,34 +10,40 @@
"routine_habit": "here is what i regularly or consistently do",
"goal_plan": "here is what i will do or achieve in the future",
"experience": "here is what i did in the past",
"relationship": "related to other people or social groups"
"relationship": "related to other people or social groups",
}


def full_persona_triplets_to_sentences(full_persona_json):
full_persona_sentences = {}
for dialogue_id, personas in full_persona_json.items():
full_persona_sentences[dialogue_id] = {}
for persona_id, persona_triplets in personas.items():
sentences = []
for t in persona_triplets:
sentences.append(f"{t[0]}. {map_relation[t[1]]}: {t[2]}")
full_persona_sentences[dialogue_id][persona_id] = sentences
for key, item in persona_triplets.items():
if key == 'triple':
for t in item:
if t[1] in map_relation.keys():
sentences.append(
f"{t[0]}. {map_relation[t[1]]}: {t[2]}")
full_persona_sentences[dialogue_id][persona_id] = sentences
return full_persona_sentences


def embed_full_personas(
full_persona_sentences,
gpu_id=None,
embedding_dim=768,
model_id='all-mpnet-base-v2'
):
):
model = SentenceTransformer(model_id)
for dialogue_id, personas in tqdm.tqdm(full_persona_sentences.items()):
dialogue_embeddings = {}
for persona_id, persona_sentences in personas.items():
if len(persona_sentences) > 0:
embeddings = model.encode(
persona_sentences, convert_to_tensor=True, device=f'cuda:{gpu_id}'
)
)
if embedding_dim < embeddings.size(1):
embeddings = embeddings[:, :embedding_dim]
embeddings = embeddings.cpu().numpy()
Expand All @@ -47,6 +53,7 @@ def embed_full_personas(
full_persona_sentences[dialogue_id].update(dialogue_embeddings)
return full_persona_sentences


def _clean_relations_in_triplets(full_persona_json):
for dialogue_id, personas in full_persona_json.items():
for persona_id, persona_triplets in personas.items():
Expand All @@ -60,14 +67,17 @@ def _clean_relations_in_triplets(full_persona_json):
def main():
print('Full persona triplets to sentences...')
full_personas_json = json.load(open(FULL_PERSONAS_PATH, 'r'))
print('Cleaning relations...')
full_personas_json = _clean_relations_in_triplets(full_personas_json)
full_persona_sentences = full_persona_triplets_to_sentences(full_personas_json)
full_persona_sentences = full_persona_triplets_to_sentences(
full_personas_json)
pkl.dump(
full_persona_sentences,
open(os.path.join(SAVE_DIR, 'full_persona_sentences.pkl'), 'wb')
)
print('Computing embeddings...')
full_persona_embeddings = embed_full_personas(full_persona_sentences, gpu_id=GPU)
full_persona_embeddings = embed_full_personas(
full_persona_sentences, gpu_id=GPU)
pkl.dump(
full_persona_embeddings,
open(os.path.join(SAVE_DIR, 'full_persona_embeddings.pkl'), 'wb')
Expand All @@ -80,4 +90,3 @@ def main():
SAVE_DIR = 'pickled_stuff'
os.makedirs(SAVE_DIR, exist_ok=True)
main()