repo stringclasses 454
values | file_path stringlengths 5 201 | extension stringclasses 1
value | content stringlengths 8 509k | num_lines int64 3 16.9k | size_bytes int64 8 511k |
|---|---|---|---|---|---|
Open-Assistant | inference/server/alembic/versions/2023_04_29_1739-ea19bbc743f9_add_safe_content_to_message.py | .py | """Add safe_content to message
Revision ID: ea19bbc743f9
Revises: 401eef162771
Create Date: 2023-04-14 22:37:41.373382
"""
import sqlalchemy as sa
import sqlmodel
from alembic import op
# revision identifiers, used by Alembic.
revision = "ea19bbc743f9"
down_revision = "401eef162771"
branch_labels = None
depends_on =... | 35 | 1,168 |
Open-Assistant | inference/server/alembic/versions/2023_04_24_2130-401eef162771_add_chat_data_opt_out_field.py | .py | """Add chat data opt out field
Revision ID: 401eef162771
Revises: b66fd8f9da1f
Create Date: 2023-04-24 21:30:19.947411
"""
import sqlalchemy as sa
from alembic import op
# revision identifiers, used by Alembic.
revision = "401eef162771"
down_revision = "b66fd8f9da1f"
branch_labels = None
depends_on = None
def upgr... | 28 | 726 |
Open-Assistant | inference/server/alembic/versions/2023_05_29_1551-5ed411a331f4_add_active_thread_tail_messsage_id_and_.py | .py | """add_active_thread_tail_messsage_id_and_message_eval
Revision ID: 5ed411a331f4
Revises: 5b4211625a9f
Create Date: 2023-05-29 15:51:41.857262
"""
import sqlalchemy as sa
import sqlmodel
from alembic import op
from sqlalchemy.dialects import postgresql
# revision identifiers, used by Alembic.
revision = "5ed411a331f... | 56 | 2,091 |
Open-Assistant | inference/server/alembic/versions/2023_03_22_2113-78f16015b904_add_refresh_token_table.py | .py | """Add refresh token table
Revision ID: 78f16015b904
Revises: 629d5081160f
Create Date: 2023-03-22 21:13:41.411718
"""
import sqlalchemy as sa
import sqlmodel
from alembic import op
# revision identifiers, used by Alembic.
revision = "78f16015b904"
down_revision = "629d5081160f"
branch_labels = None
depends_on = Non... | 41 | 1,209 |
Open-Assistant | inference/server/alembic/versions/2023_05_01_2253-5b4211625a9f_added_used_plugin_to_message.py | .py | """added used plugin to message
Revision ID: 5b4211625a9f
Revises: ea19bbc743f9
Create Date: 2023-05-01 22:53:16.297495
"""
import sqlalchemy as sa
from alembic import op
from sqlalchemy.dialects import postgresql
# revision identifiers, used by Alembic.
revision = "5b4211625a9f"
down_revision = "ea19bbc743f9"
branc... | 29 | 764 |
Open-Assistant | inference/server/alembic/versions/2023_04_12_2033-f0e18084aae4_add_deleted_field_to_user.py | .py | """Add deleted field to user
Revision ID: f0e18084aae4
Revises: 78f16015b904
Create Date: 2023-04-12 20:33:28.239793
"""
import sqlalchemy as sa
from alembic import op
# revision identifiers, used by Alembic.
revision = "f0e18084aae4"
down_revision = "78f16015b904"
branch_labels = None
depends_on = None
def upgrad... | 28 | 711 |
Open-Assistant | inference/server/alembic/versions/2023_03_21_2116-629d5081160f_changed_worker_config_to_worker_info.py | .py | """changed worker config to worker info
Revision ID: 629d5081160f
Revises: 7d5be54acd49
Create Date: 2023-03-21 21:16:57.999842
"""
import sqlalchemy as sa
from alembic import op
from sqlalchemy.dialects import postgresql
# revision identifiers, used by Alembic.
revision = "629d5081160f"
down_revision = "7d5be54acd4... | 34 | 996 |
Open-Assistant | inference/server/alembic/versions/2023_03_12_1742-7d5be54acd49_initial_revision.py | .py | """initial revision
Revision ID: 7d5be54acd49
Revises:
Create Date: 2023-03-12 17:42:42.807459
"""
import sqlalchemy as sa
import sqlmodel
from alembic import op
from sqlalchemy.dialects import postgresql
# revision identifiers, used by Alembic.
revision = "7d5be54acd49"
down_revision = None
branch_labels = None
dep... | 169 | 8,036 |
Open-Assistant | inference/server/alembic/versions/2023_04_14_1611-b66fd8f9da1f_add_hidden_field_to_chats.py | .py | """Add hidden field to chats
Revision ID: b66fd8f9da1f
Revises: f0e18084aae4
Create Date: 2023-04-14 16:11:35.361507
"""
import sqlalchemy as sa
from alembic import op
# revision identifiers, used by Alembic.
revision = "b66fd8f9da1f"
down_revision = "f0e18084aae4"
branch_labels = None
depends_on = None
def upgrad... | 28 | 709 |
Open-Assistant | inference/safety/main.py | .py | """
A simple FastAPI server which serves a `blade2blade2` safety model.
See https://github.com/LAION-AI/blade2blade for context.
"""
import asyncio
from concurrent.futures import ThreadPoolExecutor
import fastapi
import uvicorn
from blade2blade import Blade2Blade
from loguru import logger
from oasst_shared.schemas i... | 69 | 1,863 |
Open-Assistant | inference/safety/settings.py | .py | import pydantic
class Settings(pydantic.BaseSettings):
# HuggingFace model ID for the model to load in blade2blade
safety_model_name: str = "shahules786/blade2blade-t5-base"
settings = Settings()
| 10 | 208 |
Open-Assistant | inference/text-client/text_client_utils.py | .py | import json
import requests
import sseclient
from loguru import logger
class DebugClient:
def __init__(self, backend_url, http_client=requests):
self.backend_url = backend_url
self.http_client = http_client
self.auth_headers = None
self.available_models = self.get_available_models... | 112 | 4,201 |
Open-Assistant | inference/text-client/__main__.py | .py | """Simple REPL frontend."""
import time
import text_client_utils as utils
import typer
from loguru import logger
app = typer.Typer()
@app.command()
def main(backend_url: str = "http://127.0.0.1:8000", model_config_name="distilgpt2", username="test1"):
"""Simple REPL client."""
while True:
try:
... | 45 | 1,210 |
Open-Assistant | inference/tests/locust/locustfile.py | .py | import random
import string
import sys
import time
from pathlib import Path
from locust import HttpUser, between, task
sys.path.append(str(Path(__file__).parent.parent.parent / "text-client"))
import text_client_utils as utils # noqa: E402
class ChatUser(HttpUser):
wait_time = between(1, 2)
conversation_le... | 32 | 925 |
Open-Assistant | inference/worker/utils.py | .py | import collections
import random
import threading
import time
from typing import Iterable, Literal
import interface
import lorem
import pydantic
import requests
import sseclient
import transformers
import websocket
from loguru import logger
from oasst_shared.schemas import inference
from settings import settings
shar... | 301 | 10,441 |
Open-Assistant | inference/worker/get_model_config_prop.py | .py | import sys
from oasst_shared import model_configs
from settings import settings
if __name__ == "__main__":
model_config = model_configs.MODEL_CONFIGS.get(settings.model_config_name)
if model_config is None:
print(f"Unknown model config name: {settings.model_config_name}")
sys.exit(2)
if le... | 22 | 666 |
Open-Assistant | inference/worker/basic_hf_server.py | .py | """
Basic FastAPI server to serve models using HuggingFace Transformers library.
This is an alternative to running the HuggingFace `text-generation-inference` (tgi) server.
"""
import sys
import threading
from queue import Queue
import fastapi
import hf_stopping
import hf_streamer
import interface
import torch
import... | 224 | 7,633 |
Open-Assistant | inference/worker/openapi_parser.py | .py | import json
from urllib.parse import urlsplit
import requests
import yaml
from loguru import logger
from oasst_shared.schemas import inference
def fetch_openapi_spec(url):
response = requests.get(url)
if response.status_code != 200:
raise Exception(f"Failed to fetch data from URL: {url}. Status code:... | 161 | 5,432 |
Open-Assistant | inference/worker/download_model_hf.py | .py | import os
import signal
import sys
from pathlib import Path
import huggingface_hub
def terminate(signum, frame):
print("Terminating...")
sys.exit(0)
if __name__ == "__main__":
signal.signal(signal.SIGINT, terminate)
model_id = os.getenv("MODEL_ID")
snapshot_dir = Path(huggingface_hub.snapshot_d... | 22 | 493 |
Open-Assistant | inference/worker/__main__.py | .py | import concurrent.futures
import signal
import sys
import time
from contextlib import closing
import pydantic
import transformers
import utils
import websocket
import work
from loguru import logger
from oasst_shared import model_configs
from oasst_shared.schemas import inference
from settings import settings
def ter... | 134 | 5,610 |
Open-Assistant | inference/worker/hf_langchain_inference.py | .py | import interface
import utils
from langchain.llms.base import LLM
class HFInference(LLM):
"""LangChain LLM implementation which uses the HF inference server configured in the worker settings."""
max_new_tokens: int = 512
top_k: int | None = None
top_p: float | None = None
typical_p: float | None ... | 53 | 1,606 |
Open-Assistant | inference/worker/download_model.py | .py | import os
import signal
import sys
import transformers
def terminate(signum, frame):
print("Terminating...")
sys.exit(0)
if __name__ == "__main__":
signal.signal(signal.SIGINT, terminate)
model_id = os.getenv("MODEL_ID")
if "llama" in model_id.lower():
transformers.LlamaTokenizer.from_p... | 22 | 543 |
Open-Assistant | inference/worker/settings.py | .py | import pydantic
class Settings(pydantic.BaseSettings):
backend_url: str = "ws://localhost:8000"
model_config_name: str = "distilgpt2"
inference_server_url: str = "http://localhost:8001"
inference_server_route: str = "/generate_stream"
safety_server_url: str = "http://localhost:8002"
api_key: s... | 37 | 887 |
Open-Assistant | inference/worker/chat_chain.py | .py | import datetime
import interface
import transformers
import utils
import websocket
from chat_chain_prompts import (
ASSISTANT_PREFIX,
CUSTOM_INSTRUCTIONS_PREFIX,
HUMAN_PREFIX,
JSON_FORMAT_NO_PAYLOAD,
JSON_FORMAT_PAYLOAD,
OBSERVATION_SEQ,
PREFIX,
SUFFIX,
THOUGHT_SEQ,
)
from chat_chai... | 514 | 18,768 |
Open-Assistant | inference/worker/chat_chain_prompts.py | .py | ASSISTANT_PREFIX = "Open Assistant"
HUMAN_PREFIX = "Human"
OBSERVATION_SEQ = "Observation:"
THOUGHT_SEQ = "Thought:"
START_SEQ = "Begin!"
END_SEQ = "End!"
CUSTOM_INSTRUCTIONS_PREFIX = """The following details have been shared by the user about themselves. This user profile appears to you in every conversation they eng... | 73 | 2,848 |
Open-Assistant | inference/worker/work.py | .py | import re
from concurrent import futures
import chat_chain
import interface
import requests
import transformers
import utils
import websocket
from chat_chain_prompts import (
ASSISTANT_PREFIX,
CUSTOM_INSTRUCTIONS_PREFIX,
END_SEQ,
OBSERVATION_SEQ,
START_SEQ,
THOUGHT_SEQ,
)
from loguru import log... | 311 | 12,777 |
Open-Assistant | inference/worker/interface.py | .py | from typing import Literal
import pydantic
from oasst_shared.schemas import inference
class GenerateStreamParameters(pydantic.BaseModel):
max_new_tokens: int = 1024
do_sample: bool = True
top_k: int | None = None
top_p: float | None = None
typical_p: float | None = None
temperature: float | N... | 76 | 2,211 |
Open-Assistant | inference/worker/hf_streamer.py | .py | import typing
import transformers
from loguru import logger
class Printer(typing.Protocol):
def __call__(self, value: int) -> None:
...
def _unpack(value):
if len(value.shape) > 1 and value.shape[0] > 1:
raise ValueError("HFStreamer only supports batch size 1")
elif len(value.shape) > 1... | 37 | 981 |
Open-Assistant | inference/worker/chat_chain_utils.py | .py | import json
import re
from typing import Callable
import requests
import transformers
from chat_chain_prompts import INSTRUCTIONS, OBSERVATION_SEQ, TOOLS_PREFIX
from hf_langchain_inference import HFInference
from langchain.agents import Tool
from langchain.memory import ConversationBufferMemory
from langchain.prompts ... | 375 | 14,390 |
Open-Assistant | inference/worker/hf_stopping.py | .py | import torch
from tokenizers import Tokenizer
from transformers import StoppingCriteria
class SequenceStoppingCriteria(StoppingCriteria):
"""Enables automatic stopping of model text generation when specific text sequences are generated."""
def __init__(
self,
tokenizer: Tokenizer,
sto... | 34 | 1,143 |
Open-Assistant | data/datasets/__init__.py | .py | TEXT_DATASETS = {
"gutenberg_english": "sedthh/gutenberg_english", # Gutenberg eBooks in English
"gutenberg_multilang": "sedthh/gutenberg_multilang", # Gutenberg eBooks in foreign languages
"tv_dialogue": "sedthh/tv_dialogue", # TV and Movie dialogues and transcripts
"fd_dialogue": "sedthh/fd_dialogu... | 45 | 2,291 |
Open-Assistant | data/datasets/safety_directory/emergency_numbers/emergency_numbers.py | .py | # @title Emergency Numbers
# Source : https://github.com/LAION-AI/Open-Instruction-Generalist/blob/main/OIG/src/emergency_numbers.py
"""
From: https://travel.state.gov/content/dam/students-abroad/pdfs/911_ABROAD.pdf
NOTE:
English‐speaking operators may not be available.
This list was created in early 2023 from the abo... | 222 | 8,547 |
Open-Assistant | data/datasets/safety_directory/child_help/child_help.py | .py | # @title Child Helplines
# Source : https://github.com/LAION-AI/Open-Instruction-Generalist/blob/main/OIG/src/child_help.py
"""
From https://childhelplineinternational.org/helplines/
NOTE:
This list was created in early 2023 from the above website and may not be current.
"""
# thank you to OA discord user: someone13574... | 2,187 | 159,181 |
Open-Assistant | data/datasets/youtube_subs_howto100M/hub.py | .py | from dataclasses import dataclass
import datasets
@dataclass
class OpenAssistantConfig(datasets.BuilderConfig):
"""BuilderConfig for OpenAssistant datasets."""
name: str = None
version: datasets.Version = None
description: str = None
schema: str = None
subset_id: str = None
instruction_fea... | 24 | 500 |
Open-Assistant | data/datasets/youtube_subs_howto100M/prepare.py | .py | import io
import json
import math
import os
import pickle
import random
import re
import sys
import urllib
import zipfile
from typing import List
import requests
from tqdm import tqdm
from youtube_transcript_api import YouTubeTranscriptApi
def get_video_ids(raw_file: str, video_id_pattern: str) -> List[str]:
vid... | 124 | 4,141 |
Open-Assistant | data/datasets/youtube_subs_howto100M/youtube_subs_howto100M.py | .py | # Copyright 2023 The OpenAssistant Authors and the current dataset script contributor.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# U... | 115 | 4,106 |
Open-Assistant | data/datasets/nsfw_selfharm_reddit/utils/__init__.py | .py | from datasets import load_dataset
from .is_question import is_question
from .reddit import init_praw_reddit, scrap_subreddit
__all__ = ["is_question", "scrap_subreddit", "init_praw_reddit"]
def save_to_huggingface(df, name):
TMP_FILE = "/tmp/save_to_huggingface_tmp.json"
df.to_json(TMP_FILE, orient="records... | 14 | 415 |
Open-Assistant | data/datasets/nsfw_selfharm_reddit/utils/reddit.py | .py | import logging
import os
import pandas as pd
import praw
import prawcore
import utils
from tqdm import tqdm
logger = logging.getLogger(__name__)
def init_praw_reddit(client_id: str | None = None, client_secret: str | None = None, user_agent: str | None = None):
# setup praw
CLIENT_ID = client_id if client_i... | 82 | 2,623 |
Open-Assistant | data/datasets/nsfw_selfharm_reddit/utils/is_question.py | .py | from transformers import AutoModelForSequenceClassification, AutoTokenizer, pipeline
class IsQuestion:
def __init__(self):
self.tokenizer = AutoTokenizer.from_pretrained("shahrukhx01/question-vs-statement-classifier")
self.model = AutoModelForSequenceClassification.from_pretrained("shahrukhx01/que... | 19 | 681 |
Open-Assistant | data/datasets/bart_searchgpt_wiki_nlp_augment/4_convert_to_oa_format.py | .py | import json
import pandas as pd
if __name__ == "__main__":
raw_df = pd.read_csv(r"...\wiki_qa_bart_10000row.csv")
# print(raw_df.iloc[0])
# print(raw_df.columns)
instruction_list, response_list, metadata_list = [], [], []
for index, row in raw_df.iterrows():
instruction_list.append(row["qu... | 25 | 878 |
Open-Assistant | data/datasets/bart_searchgpt_wiki_nlp_augment/5_test_downloading_my_dataset.py | .py | if __name__ == "__main__":
from datasets import load_dataset
dataset = load_dataset("michaelthwan/oa_wiki_qa_bart_10000row", split="train")
print(dataset[0])
| 6 | 171 |
Open-Assistant | data/datasets/bart_searchgpt_wiki_nlp_augment/3_10k_bart_trial.py | .py | import pandas as pd
import tiktoken
import torch
import tqdm
from transformers import pipeline
def num_tokens_from_string(string: str) -> int:
encoding = tiktoken.encoding_for_model("gpt-3.5-turbo")
num_tokens = len(encoding.encode(string))
return num_tokens
if __name__ == "__main__":
sampled_df = p... | 39 | 1,400 |
Open-Assistant | data/datasets/bart_searchgpt_wiki_nlp_augment/1_clean_wikitext.py | .py | import os
import re
import time
import timeit
import pandas as pd
import psutil
from datasets import load_dataset
from tqdm import tqdm
def memory_and_speed_test():
mem_before = psutil.Process(os.getpid()).memory_info().rss >> 20
wiki = load_dataset("wikipedia", "20220301.en", split="train")
mem_after = ... | 84 | 2,676 |
Open-Assistant | data/datasets/mt_note_generation/mt_note_generation.py | .py | # Copyright 2023 The OpenAssistant Authors and the current dataset script contributor.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# U... | 122 | 3,894 |
Open-Assistant | data/datasets/mt_note_generation/hub.py | .py | from dataclasses import dataclass
import datasets
@dataclass
class OpenAssistantConfig(datasets.BuilderConfig):
"""BuilderConfig for OpenAssistant datasets."""
name: str = None
version: datasets.Version = None
description: str = None
schema: str = None
subset_id: str = None
features = data... | 22 | 399 |
Open-Assistant | data/datasets/mt_note_generation/prepare.py | .py | import json
import math
import os
import random
import re
import sys
from string import punctuation
import kaggle
import pandas as pd
CLINICAL_NOTE_GENERATION_TEMPLATE = """User: Write a clinical note about a patient with the following {section}: {section_information}.
Rosey: {note}"""
def preprocess(mt_dataset):
... | 85 | 2,927 |
Open-Assistant | data/datasets/poetry_instruction/prepare.py | .py | import json
import os
import random
import kaggle
import pandas as pd
# Authenticate the Kaggle API client
kaggle.api.authenticate()
# Download and extract the dataset to the download_path directory
download_path = os.path.join(os.getcwd(), "data", "datasets", "poetry_instruction")
kaggle.api.dataset_download_files(... | 159 | 6,500 |
Open-Assistant | data/datasets/iapp_wiki_qa_squad/loading_script.py | .py | from datasets import load_dataset
if __name__ == "__main__":
ds = load_dataset("wannaphong/iapp_wiki_qa_squad_oa")
print(ds)
| 6 | 134 |
Open-Assistant | data/datasets/biostars_qa/get_biostars_dataset.py | .py | import json
import os
import re
import time
import pandas as pd
import requests
from tqdm import tqdm
def get_biostars_dataset(start_idx=9557161, accept_threshold=1000000, sleep=0.1, folder="biostars"):
"""
Download BioStarts data set from the official API using GET requests
Args:
start_idx (int... | 159 | 5,417 |
Open-Assistant | data/datasets/cocktail_recipes/loading_script.py | .py | from datasets import load_dataset
if __name__ == "__main__":
ds = load_dataset("brianarbuckle/cocktail_recipes")
print(ds["train"])
| 6 | 141 |
Open-Assistant | data/datasets/reasoning_bg_oa/data_process.py | .py | import json
from dataclasses import dataclass
import pandas as pd
from datasets import concatenate_datasets, load_dataset
configs = ["biology-12th", "philosophy-12th", "geography-12th", "history-12th", "history-quiz"]
datasets = []
@dataclass
class QnA:
INSTRUCTION: str
RESPONSE: str
SOURCE: str
MET... | 49 | 1,289 |
Open-Assistant | data/datasets/TSSB-3M/generate_dataset.py | .py | """Convert the source TSSB-3M dataset to instruction data
"""
import json
import random
import re
from os.path import join
from tqdm import tqdm
INSTRUCTIONS_LIST = [
"Find the bug in the following code:",
"Identify the error in the code snippet provided:",
"Spot the issue within the given code segment:... | 231 | 7,363 |
Open-Assistant | data/datasets/TSSB-3M/load_script.py | .py | from datasets import load_dataset
if __name__ == "__main__":
ds = load_dataset("zirui3/TSSB-3M-instructions")
print(ds)
| 6 | 129 |
Open-Assistant | data/datasets/zhihu-kol/main.py | .py | from __future__ import annotations
import json
import multitasking
import pandas as pd
import requests
from bs4 import BeautifulSoup
from retry import retry
from tqdm import tqdm
def get_uid_by_url_token(url_token: str) -> str:
"""
根据知乎用户 url_token 获取其 uid
Parameters
----------
url_token : 知乎用户... | 245 | 7,774 |
Open-Assistant | data/datasets/zhihu-kol/scrape_by_topic.py | .py | from __future__ import annotations
import dataclasses
import re
import time
from dataclasses import dataclass
from typing import List, Union
import numpy as np
import pandas as pd
import requests
from bs4 import BeautifulSoup
from loguru import logger
from playwright.sync_api import Locator, Page, sync_playwright
fro... | 204 | 6,914 |
Open-Assistant | data/datasets/zhihu-kol/convert_parquet.py | .py | import json
import pandas as pd
def reformat_csv_to_openassistant(df: pd.DataFrame) -> pd.DataFrame:
"""
Reformat the downloaded CSV into either Instruction or Text format
so that it could be directly ingested into the training pipeline.
Parameters
----------
df: the downloaded panda datafra... | 50 | 1,417 |
Open-Assistant | data/datasets/zhihu-kol/upload_hf.py | .py | from datasets import Dataset
ds = Dataset.from_parquet("dataset.parquet")
ds.push_to_hub("wangrui6/Zhihu-KOL")
| 5 | 112 |
Open-Assistant | data/datasets/reasoning_gsm_qna_oa/data_process.py | .py | import json
import random
import re
from dataclasses import dataclass
import pandas as pd
from datasets import load_dataset
random.seed(42)
random_list_python = [
"Make a python code.",
"Make a python script. Only function.",
"Write a solution in python.",
"Solve with Python.",
"Please, use pytho... | 75 | 2,028 |
Open-Assistant | data/datasets/oa_stackexchange/process.py | .py | #!/usr/bin/env python3
# Simple script to convert StackExchange XML to Open Assistant format
# Original code by https://github.com/b-mc2
import gc
import glob
import os
import re
import subprocess
import sys
import pandas as pd
from html2text import html2text
from lxml import etree
from tqdm import tqdm
XML_DIR = ".... | 183 | 5,386 |
Open-Assistant | data/datasets/oa_stackexchange/combine.py | .py | #!/usr/bin/env python3
# Combine (and shorten) parquet files into a single file
import glob
import pandas as pd
from merge_parquets import merge_parquet_dir
MAX_LENGTH = 1000 # max length of question or answer
for file in glob.glob("full/*.parquet"):
df = pd.read_parquet(file)
before = len(df)
df = df[... | 28 | 949 |
Open-Assistant | data/datasets/oa_stackexchange/stats.py | .py | import glob
import re
from pyarrow.parquet import ParquetDataset
def rows(topic):
dataset = ParquetDataset(f"parquet/{topic}.parquet")
return sum(p.count_rows() for p in dataset.fragments)
for f in sorted(glob.glob("parquet/*.parquet")):
topic = re.match(r".*\/(.*?)\.parquet", f)[1]
num = rows(topi... | 16 | 361 |
Open-Assistant | data/datasets/oa_stackexchange/download.py | .py | #!/usr/bin/env python3
#
# Simple script to download StackExchange archive XML files with posts (threaded version)
#
# Note: you probably want to download stackoverflow.com-Posts.7z manually, as it is 18GB
# and takes a days to download otherwise. You can try using the torrent:
#
# webtorrent https://archive.org/downlo... | 75 | 2,814 |
Open-Assistant | data/datasets/oa_stackexchange/upload.py | .py | #!/usr/bin/env python3
# Simple script to convert StackExchange XML to Open Assistant format
# Original code by https://github.com/b-mc2
from datasets import load_dataset
PARQUET_FILE = "stackexchange.parquet"
HF_DATASET = "donfu/oa-stackexchange"
def upload_hf():
"""
Upload to Hugging Face. Make sure you a... | 23 | 659 |
Open-Assistant | data/datasets/oa_stackexchange/merge_parquets.py | .py | from __future__ import annotations
from pathlib import Path
from typing import Callable, Iterable, TypeVar
import pyarrow as pa
import pyarrow.parquet as pq
def stream_to_parquet(path: Path, tables: Iterable[pa.Table]) -> None:
try:
first = next(tables)
except StopIteration:
return
schem... | 65 | 1,933 |
Open-Assistant | data/datasets/semantics_ws_qna_oa/random_stuff.py | .py | # random lists for ws
# sim_questions
random_list_sim_en_q = [
"Are the words {word1} and {word2} synonymous?",
'Are "{word1}" and "{word2}" synonymous?',
"Is there any connection between the words '{word1}' and '{word2}'?",
]
random_list_sim_ru_q = [
"Являются ли слова {word1} и {word2} синонимами?",
... | 443 | 22,665 |
Open-Assistant | data/datasets/semantics_ws_qna_oa/data_process.py | .py | import json
import random
from dataclasses import dataclass
import pandas as pd
import random_stuff
from datasets import load_dataset
random.seed(42)
# format to QnA
def qna_wrapper():
def create_qna(row):
# make a random number
random_num = random.randint(0, 2)
# extract rows' vals
... | 58 | 1,655 |
Open-Assistant | data/datasets/oa_dolly_15k/create_dataset.py | .py | import json
from pathlib import Path
import requests
from datasets import Dataset
DATA_URL = "https://raw.githubusercontent.com/databrickslabs/dolly/master/data/databricks-dolly-15k.jsonl"
FILE_PATH = "databricks_dolly_15k.jsonl"
def download_data(url: str, destination: str):
response = requests.get(url, stream... | 53 | 1,358 |
Open-Assistant | data/datasets/soda_synthetic_dialogue/prepare.py | .py | """Prepare the SODA Synthetic Dialogue Dataset"""
import json
import os
import random
import sys
from datasets import load_dataset
from tqdm import tqdm
# adapted from https://colab.research.google.com/drive/1Sw3px5dP8whdqT7QMNoqwmqIasZkMbJi?usp=sharing
SUMMARY_TEMPLATE = """User: Can you give me a short story desc... | 246 | 11,941 |
Open-Assistant | data/datasets/soda_synthetic_dialogue/soda_synthetic_dialogue.py | .py | # Copyright 2023 The OpenAssistant Authors and the current dataset script contributor.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# U... | 108 | 3,625 |
Open-Assistant | data/datasets/tatoeba_mt_qna_oa/language_translate.py | .py | random_templates_translate = {
"en": {
1: "Translate {opening_quote}{text}{closing_quote} to {lang2} from {lang1}",
2: "Can you translate this {opening_quote}{text}{closing_quote}?",
3: "What does it mean {opening_quote}{text}{closing_quote}?",
4: "What it'd be in {lang2}: {opening_q... | 268 | 20,103 |
Open-Assistant | data/datasets/tatoeba_mt_qna_oa/language_names.py | .py | language_names = {
"en": {
"en": "English",
"ru": "Английский",
"de": "Englisch",
"uk": "Англійська мова",
"bg": "Английски",
"ca": "Anglès",
"cs": "Angličtina",
"da": "Engelsk",
"es": "Inglés",
"fr": "Anglais",
"hr": "Engleski"... | 443 | 11,811 |
Open-Assistant | data/datasets/tatoeba_mt_qna_oa/language_paraphrase.py | .py | random_templates_paraphrase = {
"en": {
1: "Paraphrase {opening_quote}{text}{closing_quote}",
2: "Can you rewrite next: {opening_quote}{text}{closing_quote}?",
3: "Can you rephrase this sentence: {opening_quote}{text}{closing_quote}?",
4: "Reword the following statement: {opening_quo... | 287 | 25,238 |
Open-Assistant | data/datasets/tatoeba_mt_qna_oa/data_process.py | .py | import json
import random
import uuid
from dataclasses import dataclass
import datasets
import iso639
import language_names
import language_paraphrase
import language_translate
import pandas as pd
random.seed(42)
class DataProcess:
# list of random quotes
random_quote = [("'", "'"), ("“", "”"), ("῎", "῏"), ... | 122 | 4,097 |
Open-Assistant | data/datasets/logicreference_OA/generate_dataset.py | .py | # Copyright 2023 The Google Research Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agree... | 130 | 4,219 |
Open-Assistant | backend/import.py | .py | import argparse
import json
import sys
from pathlib import Path
from typing import Optional
from uuid import UUID
import oasst_backend.models.db_payload as db_payload
import oasst_backend.utils.database_utils as db_utils
import pydantic
from loguru import logger
from oasst_backend.api.deps import create_api_client
fro... | 203 | 8,077 |
Open-Assistant | backend/main.py | .py | import json
from datetime import datetime
from http import HTTPStatus
from math import ceil
from pathlib import Path
from typing import Optional
import alembic.command
import alembic.config
import fastapi
import redis.asyncio as redis
from fastapi_limiter import FastAPILimiter
from fastapi_utils.tasks import repeat_ev... | 365 | 13,969 |
Open-Assistant | backend/export.py | .py | import argparse
from pathlib import Path
from typing import List, Optional
from uuid import UUID
import sqlalchemy as sa
from loguru import logger
from oasst_backend.database import engine
from oasst_backend.models import Message, MessageEmoji, MessageReaction, MessageTreeState, TextLabels, db_payload
from oasst_backe... | 454 | 15,913 |
Open-Assistant | backend/rerank.py | .py | import argparse
from uuid import UUID
import oasst_backend.utils.database_utils as db_utils
from export import fetch_tree_ids
from loguru import logger
from oasst_backend.api.deps import create_api_client
from oasst_backend.database import engine
from oasst_backend.models.api_client import ApiClient
from oasst_backend... | 79 | 2,995 |
Open-Assistant | backend/update_message_attributes.py | .py | import time
from loguru import logger
from oasst_backend.models import ApiClient, Message
from oasst_backend.scheduled_tasks import hf_feature_extraction, toxicity
from oasst_backend.utils.database_utils import default_session_factory
from sqlmodel import text
def get_messageids_without_toxicity():
message_ids =... | 92 | 3,288 |
Open-Assistant | backend/oasst_backend/user_stats_repository.py | .py | from datetime import datetime, timedelta
from typing import Optional
from uuid import UUID
import numpy as np
import sqlalchemy as sa
from loguru import logger
from oasst_backend.config import settings
from oasst_backend.models import (
Message,
MessageReaction,
MessageTreeState,
Task,
TextLabels,
... | 658 | 24,154 |
Open-Assistant | backend/oasst_backend/cached_stats_repository.py | .py | from oasst_backend.models import CachedStats, Message, MessageTreeState, User
from oasst_shared.exceptions.oasst_api_error import OasstError, OasstErrorCode
from oasst_shared.schemas.protocol import AllCachedStatsResponse, CachedStatsName, CachedStatsResponse
from oasst_shared.utils import log_timing, utcnow
from sqlal... | 104 | 4,428 |
Open-Assistant | backend/oasst_backend/user_repository.py | .py | from typing import Optional
from uuid import UUID
import oasst_backend.models as models
from oasst_backend.config import settings
from oasst_backend.models import ApiClient, User
from oasst_backend.utils.database_utils import CommitMode, managed_tx_method
from oasst_shared import utils as shared_utils
from oasst_share... | 383 | 14,593 |
Open-Assistant | backend/oasst_backend/prompt_repository.py | .py | import random
import re
from collections import defaultdict
from datetime import datetime, timedelta
from http import HTTPStatus
from typing import Optional
from uuid import UUID, uuid4
import oasst_backend.models.db_payload as db_payload
import sqlalchemy.dialects.postgresql as pg
from loguru import logger
from oasst... | 1,406 | 58,799 |
Open-Assistant | backend/oasst_backend/scheduled_tasks.py | .py | from __future__ import absolute_import, unicode_literals
from datetime import timedelta
from typing import Any, Dict, List
from asgiref.sync import async_to_sync
from celery import shared_task
from loguru import logger
from oasst_backend.celery_worker import app
from oasst_backend.models import ApiClient, Message, Us... | 108 | 4,558 |
Open-Assistant | backend/oasst_backend/journal_writer.py | .py | import enum
from typing import Literal, Optional
from uuid import UUID
from oasst_backend.models import ApiClient, Journal, Task, User
from oasst_backend.models.payload_column_type import PayloadContainer, payload_type
from oasst_backend.utils.database_utils import CommitMode, managed_tx_method
from oasst_shared.utils... | 121 | 3,713 |
Open-Assistant | backend/oasst_backend/auth.py | .py | from datetime import datetime, timedelta
from typing import Optional
from jose import jwt
from oasst_backend.config import Settings
from oasst_backend.models import Account
from sqlmodel import Session
def create_access_token(data: dict) -> str:
"""
Create an encoded JSON Web Token (JWT) using the given data... | 38 | 1,040 |
Open-Assistant | backend/oasst_backend/database.py | .py | from oasst_backend.config import settings
from oasst_shared.exceptions import OasstError, OasstErrorCode
from sqlmodel import create_engine
if settings.DATABASE_URI is None:
raise OasstError("DATABASE_URI is not set", error_code=OasstErrorCode.DATABASE_URI_NOT_SET)
engine = create_engine(
settings.DATABASE_UR... | 15 | 495 |
Open-Assistant | backend/oasst_backend/task_repository.py | .py | from datetime import datetime, timedelta
from typing import Optional
from uuid import UUID
import oasst_backend.models.db_payload as db_payload
from loguru import logger
from oasst_backend.config import settings
from oasst_backend.models import ApiClient, Task
from oasst_backend.models.payload_column_type import Paylo... | 272 | 10,620 |
Open-Assistant | backend/oasst_backend/config.py | .py | from pathlib import Path
from typing import Any, Dict, List, Optional
from oasst_shared.schemas.protocol import TextLabel
from pydantic import AnyHttpUrl, BaseModel, BaseSettings, FilePath, PostgresDsn, validator
class TreeManagerConfiguration(BaseModel):
"""TreeManager configuration settings"""
max_active_... | 288 | 10,456 |
Open-Assistant | backend/oasst_backend/celery_worker.py | .py | import os
from celery import Celery
from loguru import logger
"""
To run the worker run `celery run -A oasst_backend.celery_worker worker -l INFO`
in the parent directory of this file, add -B to embed the beat scheduler inside
the worker.
"""
app = Celery(
"oasst_worker",
broker=os.environ.get("CELERY_BROKER_... | 33 | 1,019 |
Open-Assistant | backend/oasst_backend/tree_manager.py | .py | import random
from datetime import datetime, timedelta
from enum import Enum
from http import HTTPStatus
from typing import Optional, Tuple
from uuid import UUID
import numpy as np
import pydantic
import sqlalchemy as sa
from loguru import logger
from oasst_backend.api.v1.utils import prepare_conversation, prepare_con... | 1,837 | 83,886 |
Open-Assistant | backend/oasst_backend/schemas/message_tree.py | .py | from uuid import UUID
from oasst_backend.models.message_tree_state import State as TreeState
from pydantic import BaseModel
class MessageTreeStateResponse(BaseModel):
message_tree_id: UUID
state: TreeState
goal_tree_size: int
max_depth: int
max_children_count: int
active: bool
origin: str... | 15 | 328 |
Open-Assistant | backend/oasst_backend/schemas/hugging_face.py | .py | from pydantic import BaseModel
class ToxicityClassification(BaseModel):
label: str
score: float
| 7 | 106 |
Open-Assistant | backend/oasst_backend/schemas/text_labels.py | .py | from oasst_shared.schemas.protocol import LabelDescription
from pydantic import BaseModel
class ValidLabelsResponse(BaseModel):
valid_labels: list[LabelDescription]
| 7 | 171 |
Open-Assistant | backend/oasst_backend/api/deps.py | .py | from http import HTTPStatus
from secrets import token_hex
from typing import Generator, NamedTuple, Optional
from uuid import UUID
from fastapi import Depends, Request, Response, Security
from fastapi.security import HTTPAuthorizationCredentials, HTTPBearer
from fastapi.security.api_key import APIKey, APIKeyHeader, AP... | 238 | 7,659 |
Open-Assistant | backend/oasst_backend/api/v1/admin.py | .py | from datetime import datetime
from typing import Optional
from uuid import UUID
import pydantic
from fastapi import APIRouter, Depends, Query
from loguru import logger
from oasst_backend.api import deps
from oasst_backend.config import Settings, settings
from oasst_backend.models import ApiClient, User
from oasst_back... | 300 | 10,308 |
Open-Assistant | backend/oasst_backend/api/v1/utils.py | .py | import re
from uuid import UUID
from oasst_backend.models import Message, MessageRevision
from oasst_shared.schemas import protocol
def prepare_message(m: Message) -> protocol.Message:
return protocol.Message(
id=m.id,
frontend_message_id=m.frontend_message_id,
parent_id=m.parent_id,
... | 87 | 2,870 |
Open-Assistant | backend/oasst_backend/api/v1/stats.py | .py | from fastapi import APIRouter, Depends
from oasst_backend.api import deps
from oasst_backend.cached_stats_repository import CachedStatsRepository
from oasst_backend.models import ApiClient
from oasst_backend.prompt_repository import PromptRepository
from oasst_backend.tree_manager import TreeManager, TreeManagerStats, ... | 88 | 2,840 |
Open-Assistant | backend/oasst_backend/api/v1/leaderboards.py | .py | from typing import Optional
from uuid import UUID
from fastapi import APIRouter, Depends, Query
from oasst_backend.api import deps
from oasst_backend.models import ApiClient
from oasst_backend.user_repository import UserRepository
from oasst_backend.user_stats_repository import UserStatsRepository, UserStatsTimeFrame
... | 50 | 1,953 |
Open-Assistant | backend/oasst_backend/api/v1/users.py | .py | import datetime
from typing import Callable, Optional
from uuid import UUID
from fastapi import APIRouter, Depends, Query
from oasst_backend.api import deps
from oasst_backend.api.v1 import utils
from oasst_backend.api.v1.messages import get_messages_cursor
from oasst_backend.models import ApiClient, User
from oasst_b... | 328 | 11,631 |
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