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Duplicate from somosnlp/somos-alpaca-es
Browse filesCo-authored-by: Daniel Vila <[email protected]>
- .gitattributes +34 -0
- Dockerfile +7 -0
- README.md +13 -0
- load_data.py +99 -0
.gitattributes
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Dockerfile
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FROM argilla/argilla-quickstart:latest
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COPY load_data.py /
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RUN pip install argilla[listeners]
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CMD whoami && /start_quickstart_argilla.sh
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README.md
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---
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title: Hackathon SomosNLP Reto Datasets LLM Español
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emoji: 🦙 🏷️
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colorFrom: purple
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colorTo: red
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sdk: docker
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app_port: 6900
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fullWidth: true
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tags:
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- argilla
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- somosnlp
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duplicated_from: somosnlp/somos-alpaca-es
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---
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load_data.py
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import sys
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import time
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import os
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import argilla as rg
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import pandas as pd
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import requests
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from datasets import load_dataset, concatenate_datasets
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from argilla.listeners import listener
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HF_TOKEN = os.environ.get("HF_TOKEN")
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HUB_DATASET_NAME = os.environ.get('HUB_DATASET_NAME')
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@listener(
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dataset="somos-alpaca-es",
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query="status:Validated", # https://docs.argilla.io/en/latest/guides/features/queries.html
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execution_interval_in_seconds=1200, # interval to check the execution of `save_validated_to_hub`
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)
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def save_validated_to_hub(records, ctx):
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if len(records) > 0:
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ds = rg.DatasetForTextClassification(records=records).to_datasets()
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if HF_TOKEN:
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print("Pushing the dataset")
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print(ds)
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ds.push_to_hub(HUB_DATASET_NAME, token=HF_TOKEN)
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else:
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print("SET HF_TOKEN and HUB_DATASET_NAME TO SYNC YOUR DATASET!!!")
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else:
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print("NO RECORDS found")
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class LoadDatasets:
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def __init__(self, api_key, workspace="team"):
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rg.init(api_key=api_key, workspace=workspace)
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@staticmethod
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def load_somos():
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# Leer el dataset del Hub
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try:
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print(f"Trying to sync with {HUB_DATASET_NAME}")
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old_ds = load_dataset(HUB_DATASET_NAME, split="train")
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except Exception as e:
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print(f"Not possible to sync with {HUB_DATASET_NAME}")
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print(e)
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old_ds = None
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dataset = load_dataset("somosnlp/somos-clean-alpaca-es", split="train")
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if old_ds:
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print("Concatenating datasets")
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dataset = concatenate_datasets([dataset, old_ds])
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print("Concatenated dataset is:")
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print(dataset)
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dataset = dataset.remove_columns("metrics")
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records = rg.DatasetForTextClassification.from_datasets(dataset)
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settings = rg.TextClassificationSettings(
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label_schema=["BAD INSTRUCTION", "BAD INPUT", "BAD OUTPUT", "INAPPROPRIATE", "BIASED", "ALL GOOD"]
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)
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rg.configure_dataset(name="somos-alpaca-es", settings=settings, workspace="team")
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# Log the dataset
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rg.log(
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records,
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name="somos-alpaca-es",
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tags={"description": "SomosNLP Hackathon dataset"},
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batch_size=200
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)
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# run listener
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save_validated_to_hub.start()
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if __name__ == "__main__":
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API_KEY = sys.argv[1]
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LOAD_DATASETS = sys.argv[2]
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if LOAD_DATASETS.lower() == "none":
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print("No datasets being loaded")
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else:
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while True:
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try:
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response = requests.get("http://0.0.0.0:6900/")
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if response.status_code == 200:
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ld = LoadDatasets(API_KEY)
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ld.load_somos()
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break
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except requests.exceptions.ConnectionError:
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pass
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except Exception as e:
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print(e)
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time.sleep(10)
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pass
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time.sleep(5)
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while True:
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time.sleep(60)
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