--data_path data/sample_dataset/train/ \
You must declare which tools you use. You don't have to provide full chat logs anymore, but you do have to say which model and harness you use so that we can analyze any recurring patterns in output from a specific tool.
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The weary overwinter baker whom I was relieving departed on day three, and from then on, for that first austral summer—November through early February—I was alone every night, the butter thumping against the wall of the bowl in the massive Hobart mixer while I stared out at the flags marking each signatory to the Antarctic Treaty as they bucked in the wind. Headphones in, chef’s jacket on a hook as I peeled down to a tank top, beanie covering my gray-streaked hair, I poked at focaccia, balled cookie dough, frosted cakes, carved up brownies, and cut lemon squares against the background rabble of the tipsy, Catan-obsessed scientists who liked to hang out in the dining room abutting the kitchen.
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For all his waxing on its problems, Fatsis delights in the dictionary, and his prose teems with enthusiasm. And the dictionary, for all its flux in recent years, is now on pretty solid ground. Merriam-Webster still sells about 1.5 million print dictionaries a year, a modest but respectable sum. And its website has seen well over a billion visitors in the last 12 months. After some years of contraction and cringe—the brief stretch of viral Twitter clapbacks from the dictionary’s account in 2016 and 2017 was a low point—Merriam-Webster is still here. Its team, by and large, still tries to engage with the world as it changes. Lately, that’s meant Greg Barlow, the president of Merriam-Webster, going on the radio to talk about what human editors do that artificial intelligence cannot. “AI tries to figure out what the definition is,” he told Kai Ryssdal on Marketplace in October. “At Merriam-Webster, we actually write the definition. We create it, invent it, so it can’t be wrong.”
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