Upload 76_generate_scugnizz_repair_dataset_v2.py with huggingface_hub
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76_generate_scugnizz_repair_dataset_v2.py
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| 1 |
+
#!/usr/bin/env python3
|
| 2 |
+
# -*- coding: utf-8 -*-
|
| 3 |
+
# /// script
|
| 4 |
+
# dependencies = ["huggingface_hub"]
|
| 5 |
+
# ///
|
| 6 |
+
|
| 7 |
+
"""
|
| 8 |
+
76_generate_scugnizz_repair_dataset.py
|
| 9 |
+
|
| 10 |
+
Dataset sintetico mirato per correggere i problemi emersi nel benchmark:
|
| 11 |
+
|
| 12 |
+
1) TOOL_RESULT -> risposta naturale senza inventare dati
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| 13 |
+
2) Copia esatta di hash, IP, IPv6, porte, domini, URL, numeri
|
| 14 |
+
3) TOOL_CALL con nome tool e argomenti corretti
|
| 15 |
+
|
| 16 |
+
Default:
|
| 17 |
+
- 30.000 renderer
|
| 18 |
+
- 10.000 exact-copy tecnico
|
| 19 |
+
- 10.000 tool-calling
|
| 20 |
+
Totale train circa 50.000 + validation.
|
| 21 |
+
|
| 22 |
+
Uso:
|
| 23 |
+
uv run 76_generate_scugnizz_repair_dataset.py --upload --repo-id ProjectScugnizz/scugnizz-agentic-repair-50k
|
| 24 |
+
|
| 25 |
+
HF Job:
|
| 26 |
+
hf jobs uv run --namespace ProjectScugnizz --flavor h200 --timeout 1h 76_generate_scugnizz_repair_dataset.py --upload --repo-id ProjectScugnizz/scugnizz-agentic-repair-50k
|
| 27 |
+
"""
|
| 28 |
+
|
| 29 |
+
import argparse
|
| 30 |
+
import hashlib
|
| 31 |
+
import json
|
| 32 |
+
import os
|
| 33 |
+
import random
|
| 34 |
+
from pathlib import Path
|
| 35 |
+
|
| 36 |
+
from huggingface_hub import HfApi, upload_folder
|
| 37 |
+
|
| 38 |
+
|
| 39 |
+
CITIES = ["Napoli","Trento","Udine","Genova","Bologna","Roma","Milano","Verona","Palermo","Cagliari","Aosta","Ancona","Lecce","Bari","Trieste","Pordenone"]
|
| 40 |
+
CONDITIONS = ["sereno","pioggia","neve","vento","nebbia","caldo","nuvoloso","temporale"]
|
| 41 |
+
STOCKS = ["AAPL","NVDA","TSLA","VWCE","MSFT","AMD","META","GOOGL","AMZN","SPY","ENI","ISP"]
|
| 42 |
+
CURRENCIES = {"VWCE":"EUR","ENI":"EUR","ISP":"EUR"}
|
| 43 |
+
ARTISTS = ["Metallica","Muse","Coldplay","Queen","Daft Punk","Radiohead","Battiato","Subsonica"]
|
| 44 |
+
SONGS = ["One","Uprising","Yellow","Bohemian Rhapsody","One More Time","No Surprises","La cura","Nuvole rapide"]
|
| 45 |
+
ALBUMS = ["...And Justice for All","The Resistance","Parachutes","A Night at the Opera","Discovery","OK Computer","L'imboscata","Microchip emozionale"]
|
| 46 |
+
SENDERS = ["Marco","Anna","Giulia","Davide","Carla","Sergio","Luca","Elena"]
|
| 47 |
+
EVENTS = ["Riunione","Audit","Backup","Manutenzione","Briefing","Formazione","Sopralluogo","Dentista"]
|
| 48 |
+
DATES = ["oggi","domani","lunedì","martedì","mercoledì","giovedì","venerdì"]
|
| 49 |
+
TIMES = ["08:30","09:00","09:30","10:15","14:00","15:45","16:30","18:00"]
|
| 50 |
+
DOMAINS = ["redhotcyber.com","example.org","openai.com","scugnizz.ai","trenitaly.help","agenzia-login.info"]
|
| 51 |
+
URLS = ["https://example.org/login","https://redhotcyber.com/article","https://trenitaly.help/pay","http://test.local/a.zip"]
|
| 52 |
+
IPV4S = ["010.000.001.255","192.168.001.010","104.21.10.12","008.008.008.008","001.001.001.001","043.157.095.055"]
|
| 53 |
+
IPV6S = [
|
| 54 |
+
"2001:0db8:0000:0000:0000:ff00:0042:8329",
|
| 55 |
+
"2001:db8:0000:0000:0000:ff00:0042:8329",
|
| 56 |
+
"fe80:0000:0000:0000:0202:b3ff:fe1e:8329",
|
| 57 |
+
]
|
| 58 |
+
HASHES_SHA256 = [
|
| 59 |
+
"0123456789abcdef0123456789abcdef0123456789abcdef0123456789abcdef",
|
| 60 |
+
"a3f5c9019b2d44e7aa00ff11cc22dd33ee44ff556677889900aabbccddeeff00",
|
| 61 |
+
"ffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffff",
|
| 62 |
+
"0000000000000000000000000000000000000000000000000000000000000000",
|
| 63 |
+
]
|
| 64 |
+
HASHES_MD5 = [
|
| 65 |
+
"00112233445566778899aabbccddeeff",
|
| 66 |
+
"44d88612fea8a8f36de82e1278abb02f",
|
| 67 |
+
"ffffffffffffffffffffffffffffffff",
|
| 68 |
+
"00000000000000000000000000000000",
|
| 69 |
+
]
|
| 70 |
+
|
| 71 |
+
|
| 72 |
+
def jd(x):
|
| 73 |
+
return json.dumps(x, ensure_ascii=False, separators=(",", ":"))
|
| 74 |
+
|
| 75 |
+
|
| 76 |
+
def row(messages, category):
|
| 77 |
+
return {
|
| 78 |
+
"messages": messages,
|
| 79 |
+
"source": "scugnizz-agentic-repair-v1",
|
| 80 |
+
"category": category,
|
| 81 |
+
}
|
| 82 |
+
|
| 83 |
+
|
| 84 |
+
def one(system, user, assistant, category):
|
| 85 |
+
return row([
|
| 86 |
+
{"role": "system", "content": system},
|
| 87 |
+
{"role": "user", "content": user},
|
| 88 |
+
{"role": "assistant", "content": assistant},
|
| 89 |
+
], category)
|
| 90 |
+
|
| 91 |
+
|
| 92 |
+
def sys_renderer():
|
| 93 |
+
return (
|
| 94 |
+
"Se ricevi TOOL_RESULT o PAYLOAD, NON chiamare strumenti.\n"
|
| 95 |
+
"Rispondi solo usando i dati presenti.\n"
|
| 96 |
+
"Non inventare email, eventi, dispositivi, nomi, tool o valori.\n"
|
| 97 |
+
"Copia numeri, hash, IP, porte, domini e percentuali esattamente."
|
| 98 |
+
)
|
| 99 |
+
|
| 100 |
+
|
| 101 |
+
def sys_tool():
|
| 102 |
+
return (
|
| 103 |
+
"You can call tools when needed.\n"
|
| 104 |
+
"Use only the available tool names and copy arguments exactly.\n"
|
| 105 |
+
"If a tool is required, answer only with TOOL_CALL JSON."
|
| 106 |
+
)
|
| 107 |
+
|
| 108 |
+
|
| 109 |
+
def system_with_tools(lines):
|
| 110 |
+
return "\n".join([
|
| 111 |
+
"You can call tools when needed.",
|
| 112 |
+
"Use only the available tool names and copy arguments exactly.",
|
| 113 |
+
"If the user request requires a tool, answer only with TOOL_CALL.",
|
| 114 |
+
"",
|
| 115 |
+
"Available tools:",
|
| 116 |
+
*lines
|
| 117 |
+
])
|
| 118 |
+
|
| 119 |
+
|
| 120 |
+
def tool_line(name, required):
|
| 121 |
+
return f"- {name} | required: {', '.join(required)}" if required else f"- {name}"
|
| 122 |
+
|
| 123 |
+
|
| 124 |
+
def call(name, args):
|
| 125 |
+
return "TOOL_CALL:\n" + jd({"name": name, "arguments": args})
|
| 126 |
+
|
| 127 |
+
|
| 128 |
+
def renderer_weather(r):
|
| 129 |
+
city = r.choice(CITIES)
|
| 130 |
+
cond = r.choice(CONDITIONS)
|
| 131 |
+
temp = r.randint(-5, 39)
|
| 132 |
+
wind = r.randint(0, 80)
|
| 133 |
+
payload = {"tool":"weather.forecast","result":{"city":city,"condition":cond,"temperature_c":temp,"wind_kmh":wind,"uuid":"ignore"}}
|
| 134 |
+
user = f"TOOL_RESULT:\n{jd(payload)}\n\nRispondi in italiano usando solo città, meteo, temperatura e vento. Ignora uuid. Non aggiungere email o calendario."
|
| 135 |
+
assistant = f"A {city} il meteo è {cond}, con {temp} °C e vento a {wind} km/h."
|
| 136 |
+
return one(sys_renderer(), user, assistant, "renderer_weather")
|
| 137 |
+
|
| 138 |
+
|
| 139 |
+
def renderer_finance(r):
|
| 140 |
+
sym = r.choice(STOCKS)
|
| 141 |
+
price = f"{r.randint(10,999)}.{r.randint(0,99):02d}"
|
| 142 |
+
cur = CURRENCIES.get(sym, "USD")
|
| 143 |
+
change = f"{r.uniform(-8,8):.2f}"
|
| 144 |
+
payload = {"tool":"finance.quote","result":{"symbol":sym,"price":price,"currency":cur,"change_percent":change}}
|
| 145 |
+
user = f"TOOL_RESULT:\n{jd(payload)}\n\nRispondi in italiano. Non chiamare tool. Copia ESATTAMENTE prezzo, valuta e percentuale."
|
| 146 |
+
assistant = f"{sym} quota {price} {cur}, con variazione del {change}%."
|
| 147 |
+
return one(sys_renderer(), user, assistant, "renderer_finance")
|
| 148 |
+
|
| 149 |
+
|
| 150 |
+
def renderer_spotify(r):
|
| 151 |
+
i = r.randrange(len(ARTISTS))
|
| 152 |
+
payload = {"tool":"spotify.current_song","result":{"artist":ARTISTS[i],"title":SONGS[i],"album":ALBUMS[i]}}
|
| 153 |
+
user = f"TOOL_RESULT:\n{jd(payload)}\n\nTrasforma il risultato in italiano usando solo i valori presenti."
|
| 154 |
+
assistant = f"Stai ascoltando {SONGS[i]} di {ARTISTS[i]}, dall'album {ALBUMS[i]}."
|
| 155 |
+
return one(sys_renderer(), user, assistant, "renderer_spotify")
|
| 156 |
+
|
| 157 |
+
|
| 158 |
+
def renderer_mail(r):
|
| 159 |
+
unread = r.randint(0, 99)
|
| 160 |
+
important = r.randint(0, min(15, unread))
|
| 161 |
+
sender = r.choice(SENDERS)
|
| 162 |
+
payload = {"tool":"mail.summary","result":{"unread":unread,"important":important,"latest_sender":sender}}
|
| 163 |
+
user = f"TOOL_RESULT:\n{jd(payload)}\n\nUsa solo questi dati. Non inventare altro."
|
| 164 |
+
assistant = f"Hai {unread} email non lette, di cui {important} importanti. L'ultima è di {sender}."
|
| 165 |
+
return one(sys_renderer(), user, assistant, "renderer_mail")
|
| 166 |
+
|
| 167 |
+
|
| 168 |
+
def renderer_calendar(r):
|
| 169 |
+
title = r.choice(EVENTS); date = r.choice(DATES); time = r.choice(TIMES)
|
| 170 |
+
payload = {"tool":"calendar.next_event","result":{"title":title,"date":date,"time":time}}
|
| 171 |
+
user = f"TOOL_RESULT:\n{jd(payload)}\n\nRispondi in italiano usando solo questi dati."
|
| 172 |
+
assistant = f"Il prossimo evento è {title}, {date} alle {time}."
|
| 173 |
+
return one(sys_renderer(), user, assistant, "renderer_calendar")
|
| 174 |
+
|
| 175 |
+
|
| 176 |
+
def renderer_dns(r):
|
| 177 |
+
domain = r.choice(DOMAINS)
|
| 178 |
+
ipv4 = r.choice(IPV4S)
|
| 179 |
+
mx = "mail." + domain
|
| 180 |
+
payload = {"tool":"dns.lookup","result":{"domain":domain,"ipv4":ipv4,"mx":mx}}
|
| 181 |
+
user = f"TOOL_RESULT:\n{jd(payload)}\n\nRispondi usando solo dominio, IPv4 e MX. Copia i valori esattamente."
|
| 182 |
+
assistant = f"Il dominio {domain} ha IPv4 {ipv4} e record MX {mx}."
|
| 183 |
+
return one(sys_renderer(), user, assistant, "renderer_dns")
|
| 184 |
+
|
| 185 |
+
|
| 186 |
+
def renderer_whois(r):
|
| 187 |
+
domain = r.choice(DOMAINS)
|
| 188 |
+
registrar = r.choice(["ICANN","Namecheap","IONOS","Gandi","Cloudflare"])
|
| 189 |
+
created = f"{r.randint(2000,2026)}-{r.randint(1,12):02d}-{r.randint(1,28):02d}"
|
| 190 |
+
payload = {"tool":"whois.lookup","result":{"domain":domain,"registrar":registrar,"created":created}}
|
| 191 |
+
user = f"TOOL_RESULT:\n{jd(payload)}\n\nRispondi usando solo questi dati. Non aggiungere next steps."
|
| 192 |
+
assistant = f"Il dominio {domain} risulta registrato presso {registrar}; data di creazione: {created}."
|
| 193 |
+
return one(sys_renderer(), user, assistant, "renderer_whois")
|
| 194 |
+
|
| 195 |
+
|
| 196 |
+
def renderer_json_complex(r):
|
| 197 |
+
city = r.choice(CITIES); temp = r.randint(-3, 38)
|
| 198 |
+
unread = r.randint(0, 25)
|
| 199 |
+
title = r.choice(EVENTS); time = r.choice(TIMES)
|
| 200 |
+
payload = {"weather":{"city":city,"temperature_c":temp},"mail":{"unread":unread},"calendar":{"title":title,"time":time}}
|
| 201 |
+
user = f"Trasforma questo JSON in italiano. Usa solo i valori presenti.\n\n{jd(payload)}"
|
| 202 |
+
assistant = f"A {city} ci sono {temp} °C. Hai {unread} email non lette. Il prossimo evento è {title} alle {time}."
|
| 203 |
+
return one(sys_renderer(), user, assistant, "renderer_json_complex")
|
| 204 |
+
|
| 205 |
+
|
| 206 |
+
def exact_hash(r):
|
| 207 |
+
sha = r.choice(HASHES_SHA256)
|
| 208 |
+
md5 = r.choice(HASHES_MD5)
|
| 209 |
+
size = r.choice([2048,1048576,512000,123456789])
|
| 210 |
+
payload = {"file":{"sha256":sha,"md5":md5,"size_bytes":size}}
|
| 211 |
+
user = f"PAYLOAD:\n{jd(payload)}\n\nRispondi in italiano copiando ESATTAMENTE sha256, md5 e size_bytes."
|
| 212 |
+
assistant = f"SHA256: {sha}. MD5: {md5}. Dimensione: {size} byte."
|
| 213 |
+
return one(sys_renderer(), user, assistant, "exact_hash")
|
| 214 |
+
|
| 215 |
+
|
| 216 |
+
def exact_network(r):
|
| 217 |
+
ipv4 = r.choice(IPV4S); ipv6 = r.choice(IPV6S); port = r.choice([80,443,8080,8443,53]); proto = r.choice(["TCP","UDP"])
|
| 218 |
+
payload = {"network":{"ipv4":ipv4,"ipv6":ipv6,"port":port,"protocol":proto},"debug":"ignore"}
|
| 219 |
+
user = f"PAYLOAD:\n{jd(payload)}\n\nVerbalizza i dati. Non cambiare nessun numero, zero iniziale o separatore. Ignora debug."
|
| 220 |
+
assistant = f"Endpoint {proto} {ipv4}:{port}. IPv6 {ipv6}."
|
| 221 |
+
return one(sys_renderer(), user, assistant, "exact_network")
|
| 222 |
+
|
| 223 |
+
|
| 224 |
+
def exact_url_domain(r):
|
| 225 |
+
url = r.choice(URLS); domain = r.choice(DOMAINS)
|
| 226 |
+
payload = {"url":url,"domain":domain,"risk_score":r.randint(0,100)}
|
| 227 |
+
user = f"PAYLOAD:\n{jd(payload)}\n\nCopia esattamente URL, dominio e risk_score."
|
| 228 |
+
assistant = f"URL: {url}. Dominio: {domain}. Risk score: {payload['risk_score']}."
|
| 229 |
+
return one(sys_renderer(), user, assistant, "exact_url_domain")
|
| 230 |
+
|
| 231 |
+
|
| 232 |
+
def tool_weather(r):
|
| 233 |
+
city = r.choice(CITIES)
|
| 234 |
+
sys = system_with_tools([tool_line("weather.forecast", ["city"])])
|
| 235 |
+
user = r.choice([f"Che tempo fa a {city}?", f"Mi dici il meteo di {city}?", f"Weather for {city}."])
|
| 236 |
+
return one(sys, user, call("weather.forecast", {"city":city}), "tool_weather")
|
| 237 |
+
|
| 238 |
+
|
| 239 |
+
def tool_finance(r):
|
| 240 |
+
sym = r.choice(STOCKS)
|
| 241 |
+
sys = system_with_tools([tool_line("finance.quote", ["symbol"])])
|
| 242 |
+
user = r.choice([f"Quanto quota {sym}?", f"Prezzo attuale di {sym}.", f"Quote for {sym}."])
|
| 243 |
+
return one(sys, user, call("finance.quote", {"symbol":sym}), "tool_finance")
|
| 244 |
+
|
| 245 |
+
|
| 246 |
+
def tool_dns(r):
|
| 247 |
+
domain = r.choice(DOMAINS)
|
| 248 |
+
sys = system_with_tools([tool_line("dns.lookup", ["domain","record_type"])])
|
| 249 |
+
rt = r.choice(["A","AAAA","MX","NS","TXT"])
|
| 250 |
+
user = r.choice([f"Qual è il record {rt} di {domain}?", f"Risolvi {domain} record {rt}."])
|
| 251 |
+
return one(sys, user, call("dns.lookup", {"domain":domain,"record_type":rt}), "tool_dns")
|
| 252 |
+
|
| 253 |
+
|
| 254 |
+
def tool_spotify(r):
|
| 255 |
+
sys = system_with_tools([tool_line("spotify.current_song", [])])
|
| 256 |
+
user = r.choice(["Che brano sto ascoltando?", "Che canzone sta suonando?", "Current song?"])
|
| 257 |
+
return one(sys, user, call("spotify.current_song", {}), "tool_spotify")
|
| 258 |
+
|
| 259 |
+
|
| 260 |
+
def tool_mail(r):
|
| 261 |
+
sys = system_with_tools([tool_line("unread_mail_count", [])])
|
| 262 |
+
user = r.choice(["Quante email non lette ho?", "Unread emails?", "Controlla le mail non lette."])
|
| 263 |
+
return one(sys, user, call("unread_mail_count", {}), "tool_mail")
|
| 264 |
+
|
| 265 |
+
|
| 266 |
+
def tool_calendar(r):
|
| 267 |
+
sys = system_with_tools([tool_line("calendar.next_event", [])])
|
| 268 |
+
user = r.choice(["Qual è il mio prossimo appuntamento?", "Cosa ho in agenda?", "Next calendar event?"])
|
| 269 |
+
return one(sys, user, call("calendar.next_event", {}), "tool_calendar")
|
| 270 |
+
|
| 271 |
+
|
| 272 |
+
RENDERERS = [renderer_weather, renderer_finance, renderer_spotify, renderer_mail, renderer_calendar, renderer_dns, renderer_whois, renderer_json_complex]
|
| 273 |
+
EXACTS = [exact_hash, exact_network, exact_url_domain]
|
| 274 |
+
TOOLS = [tool_weather, tool_finance, tool_dns, tool_spotify, tool_mail, tool_calendar]
|
| 275 |
+
|
| 276 |
+
|
| 277 |
+
def key(obj):
|
| 278 |
+
return hashlib.sha256(jd(obj["messages"]).encode("utf-8")).hexdigest()
|
| 279 |
+
|
| 280 |
+
|
| 281 |
+
def generate(out_dir, n_renderer, n_exact, n_tool, val_size, seed):
|
| 282 |
+
r = random.Random(seed)
|
| 283 |
+
out = Path(out_dir); out.mkdir(parents=True, exist_ok=True)
|
| 284 |
+
rows = []
|
| 285 |
+
seen = set()
|
| 286 |
+
counts = {}
|
| 287 |
+
|
| 288 |
+
def add(gen):
|
| 289 |
+
for _ in range(1000):
|
| 290 |
+
obj = gen(r)
|
| 291 |
+
k = key(obj)
|
| 292 |
+
if k not in seen:
|
| 293 |
+
seen.add(k)
|
| 294 |
+
rows.append(obj)
|
| 295 |
+
counts[obj["category"]] = counts.get(obj["category"],0)+1
|
| 296 |
+
return
|
| 297 |
+
rows.append(gen(r))
|
| 298 |
+
|
| 299 |
+
# Distribuzione forzata: ogni categoria riceve lo stesso numero di esempi
|
| 300 |
+
per_renderer = n_renderer // len(RENDERERS)
|
| 301 |
+
rem_renderer = n_renderer % len(RENDERERS)
|
| 302 |
+
for idx, gen in enumerate(RENDERERS):
|
| 303 |
+
target = per_renderer + (1 if idx < rem_renderer else 0)
|
| 304 |
+
for i in range(target):
|
| 305 |
+
add(gen)
|
| 306 |
+
print(f"{gen.__name__}: {target}", flush=True)
|
| 307 |
+
if (i+1) % 5000 == 0:
|
| 308 |
+
print(f"RENDERER {i+1}/{n_renderer}", flush=True)
|
| 309 |
+
|
| 310 |
+
per_exact = n_exact // len(EXACTS)
|
| 311 |
+
rem_exact = n_exact % len(EXACTS)
|
| 312 |
+
for idx, gen in enumerate(EXACTS):
|
| 313 |
+
target = per_exact + (1 if idx < rem_exact else 0)
|
| 314 |
+
for i in range(target):
|
| 315 |
+
add(gen)
|
| 316 |
+
print(f"{gen.__name__}: {target}", flush=True)
|
| 317 |
+
if (i+1) % 2500 == 0:
|
| 318 |
+
print(f"EXACT {i+1}/{n_exact}", flush=True)
|
| 319 |
+
|
| 320 |
+
per_tool = n_tool // len(TOOLS)
|
| 321 |
+
rem_tool = n_tool % len(TOOLS)
|
| 322 |
+
for idx, gen in enumerate(TOOLS):
|
| 323 |
+
target = per_tool + (1 if idx < rem_tool else 0)
|
| 324 |
+
for i in range(target):
|
| 325 |
+
add(gen)
|
| 326 |
+
print(f"{gen.__name__}: {target}", flush=True)
|
| 327 |
+
if (i+1) % 2500 == 0:
|
| 328 |
+
print(f"TOOL {i+1}/{n_tool}", flush=True)
|
| 329 |
+
|
| 330 |
+
r.shuffle(rows)
|
| 331 |
+
val_n = min(val_size, max(1, len(rows)//100))
|
| 332 |
+
val = rows[:val_n]
|
| 333 |
+
train = rows[val_n:]
|
| 334 |
+
|
| 335 |
+
train_path = out / "train.jsonl"
|
| 336 |
+
val_path = out / "validation.jsonl"
|
| 337 |
+
|
| 338 |
+
with train_path.open("w", encoding="utf-8") as f:
|
| 339 |
+
for obj in train:
|
| 340 |
+
f.write(json.dumps(obj, ensure_ascii=False) + "\n")
|
| 341 |
+
|
| 342 |
+
with val_path.open("w", encoding="utf-8") as f:
|
| 343 |
+
for obj in val:
|
| 344 |
+
f.write(json.dumps(obj, ensure_ascii=False) + "\n")
|
| 345 |
+
|
| 346 |
+
(out / "README.md").write_text(
|
| 347 |
+
"---\nlicense: cc-by-4.0\nlanguage:\n- it\n- en\ntask_categories:\n- text-generation\n---\n\n"
|
| 348 |
+
"# Scugnizz Agentic Repair 50k\n\n"
|
| 349 |
+
"Dataset sintetico bilanciato per correggere renderer, copia esatta e tool calling.\n\n"
|
| 350 |
+
f"Train: {len(train)}\n\nValidation: {len(val)}\n\n"
|
| 351 |
+
"Categorie:\n```json\n" + json.dumps(counts, ensure_ascii=False, indent=2) + "\n```\n",
|
| 352 |
+
encoding="utf-8"
|
| 353 |
+
)
|
| 354 |
+
|
| 355 |
+
print("DONE", out, "TRAIN", len(train), "VAL", len(val), flush=True)
|
| 356 |
+
print(json.dumps(counts, ensure_ascii=False, indent=2), flush=True)
|
| 357 |
+
print("SAMPLE", json.dumps(rows[0], ensure_ascii=False)[:2000], flush=True)
|
| 358 |
+
return out
|
| 359 |
+
|
| 360 |
+
|
| 361 |
+
def upload(folder, repo_id, private=False):
|
| 362 |
+
token = os.environ.get("HF_TOKEN") or os.environ.get("UV_SCRIPT_HF_TOKEN") or os.environ.get("HUGGINGFACE_HUB_TOKEN")
|
| 363 |
+
api = HfApi(token=token)
|
| 364 |
+
api.create_repo(repo_id, repo_type="dataset", private=private, exist_ok=True)
|
| 365 |
+
upload_folder(repo_id=repo_id, repo_type="dataset", folder_path=str(folder), commit_message="Add Scugnizz agentic repair dataset", token=token)
|
| 366 |
+
print("UPLOADED", repo_id, flush=True)
|
| 367 |
+
|
| 368 |
+
|
| 369 |
+
def main():
|
| 370 |
+
p = argparse.ArgumentParser()
|
| 371 |
+
p.add_argument("--out-dir", default="data/scugnizz-agentic-repair-50k")
|
| 372 |
+
p.add_argument("--repo-id", default="ProjectScugnizz/scugnizz-agentic-repair-50k")
|
| 373 |
+
p.add_argument("--n-renderer", type=int, default=30000)
|
| 374 |
+
p.add_argument("--n-exact", type=int, default=10000)
|
| 375 |
+
p.add_argument("--n-tool", type=int, default=10000)
|
| 376 |
+
p.add_argument("--val-size", type=int, default=1000)
|
| 377 |
+
p.add_argument("--seed", type=int, default=20260710)
|
| 378 |
+
p.add_argument("--upload", action="store_true")
|
| 379 |
+
p.add_argument("--private", action="store_true")
|
| 380 |
+
a = p.parse_args()
|
| 381 |
+
|
| 382 |
+
folder = generate(a.out_dir, a.n_renderer, a.n_exact, a.n_tool, a.val_size, a.seed)
|
| 383 |
+
if a.upload:
|
| 384 |
+
upload(folder, a.repo_id, a.private)
|
| 385 |
+
|
| 386 |
+
|
| 387 |
+
if __name__ == "__main__":
|
| 388 |
+
main()
|