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"code", "source": [ "def norm(s):\n", " if s is None: return \"\"\n", " s = s.strip()\n", " s = re.sub(r\"\\s+\", \" \", s)\n", " return s\n", "\n", "PROMPT_TMPL = (\n", " \"{system}\\n\\n\"\n", " \"EVIDENCE:\\n{context}\\n\\n\"\n", " \"USER:\\n{user}\\n\\n\"\n", " \"Assistant: Answer *only* using the evidence. If unknown, say you cannot answer. Cite sources.\"\n", ")\n", "\n", "def preprocess(ex):\n", " system = norm(ex.get(\"system_instruction\", \"\"))\n", " user = norm(ex.get(\"user_request\", \"\"))\n", " ctx = norm(ex.get(\"context_document\", \"\"))\n", " full = norm(ex.get(\"full_prompt\", \"\"))\n", "\n", " prompt = PROMPT_TMPL.format(system=system or \"You are a careful assistant.\",\n", " context=ctx or \"N/A\",\n", " user=user or \"\")\n", "\n", " return {\n", " # keep normalized originals\n", " \"system_instruction\": system,\n", " \"user_request\": user,\n", " \"context_document\": ctx,\n", " \"full_prompt\": full,\n", " # new fields\n", " \"prompt\": prompt,\n", " \"has_url_in_context\": bool(re.search(r\"https?://|doi:\\S+\", ctx)),\n", " \"len_system\": len(system.split()),\n", " \"len_user\": len(user.split()),\n", " \"len_context\": len(ctx.split())\n", " }\n", "\n", "processed = ds.map(preprocess)\n", "processed" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 170, "referenced_widgets": [ "20ea332d38fa4f9d9694eb4ed58332d2", "a652c6e090fa42cda561e8e456785acd", "0ec0b0f183ca41e18408928596195db8", "7be761f596ec41f1b5be7026c6d1a349", "d9e28e3986d84a73bac04a65f7d0b76e", "aa8c792cf0db4bdf8b1e78107fe745fa", "b7023a73c93d4db9a8334bf22804e2d7", "97740565b828489a8bd670756db05b3c", "2607da6dd2924d58b2e081a5fd4cb409", "ac9a3a57992d48858f9900442686b477", "75af0735cb3147bdadbbde42ba64efc5" ] }, "id": "4V3AwySFEdGM", "outputId": "fc088086-0e9e-4375-80a4-29089a68453c" }, "execution_count": 11, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "Map: 0%| | 0/860 [00:00