|
3 | 3 | "nbformat_minor": 0, |
4 | 4 | "metadata": { |
5 | 5 | "colab": { |
6 | | - "provenance": [], |
7 | | - "toc_visible": true |
| 6 | + "provenance": [] |
8 | 7 | }, |
9 | 8 | "kernelspec": { |
10 | 9 | "name": "python3", |
|
44 | 43 | }, |
45 | 44 | { |
46 | 45 | "cell_type": "code", |
47 | | - "execution_count": 1, |
| 46 | + "execution_count": null, |
48 | 47 | "metadata": { |
49 | 48 | "id": "2Xz9uWQFbNkH" |
50 | 49 | }, |
|
79 | 78 | "metadata": { |
80 | 79 | "id": "CsL466H0bjNX" |
81 | 80 | }, |
82 | | - "execution_count": 2, |
| 81 | + "execution_count": null, |
83 | 82 | "outputs": [] |
84 | 83 | }, |
85 | 84 | { |
|
226 | 225 | }, |
227 | 226 | "outputId": "d58cc940-281e-4d56-d6e6-040e4881e78a" |
228 | 227 | }, |
229 | | - "execution_count": 6, |
| 228 | + "execution_count": null, |
230 | 229 | "outputs": [ |
231 | 230 | { |
232 | 231 | "output_type": "execute_result", |
|
277 | 276 | }, |
278 | 277 | "outputId": "d9e68225-5796-411e-964a-6db3be5541aa" |
279 | 278 | }, |
280 | | - "execution_count": 7, |
| 279 | + "execution_count": null, |
281 | 280 | "outputs": [ |
282 | 281 | { |
283 | 282 | "output_type": "execute_result", |
|
336 | 335 | "outputId": "4bc9ba0b-9be3-410a-d1d6-f1da04bbfec7", |
337 | 336 | "id": "DPADF_7ytTmR" |
338 | 337 | }, |
339 | | - "execution_count": 9, |
| 338 | + "execution_count": null, |
340 | 339 | "outputs": [ |
341 | 340 | { |
342 | 341 | "output_type": "stream", |
|
361 | 360 | "cell_type": "markdown", |
362 | 361 | "source": [ |
363 | 362 | "## Download Dataset\n", |
364 | | - "**Note** You may get a warning *The secret `HF_TOKEN` does not exist in your Colab secrets*.\n", |
| 363 | + "**Note** You may get a warking *The secret `HF_TOKEN` does not exist in your Colab secrets*.\n", |
365 | 364 | "\n", |
366 | 365 | "You can safely ignore this." |
367 | 366 | ], |
|
381 | 380 | "id": "IVnpj5bBoEBL", |
382 | 381 | "outputId": "bc6371d9-d66f-482c-95f8-8cdb89e4f0ef" |
383 | 382 | }, |
384 | | - "execution_count": 10, |
| 383 | + "execution_count": null, |
385 | 384 | "outputs": [ |
386 | 385 | { |
387 | 386 | "output_type": "stream", |
|
434 | 433 | "metadata": { |
435 | 434 | "id": "tDZ0qEbW-ozW" |
436 | 435 | }, |
437 | | - "execution_count": 11, |
| 436 | + "execution_count": null, |
438 | 437 | "outputs": [] |
439 | 438 | }, |
440 | 439 | { |
|
463 | 462 | "\n", |
464 | 463 | "# Query scored from score\n", |
465 | 464 | "response_scored = es.search(\n", |
466 | | - " index=\"arxiv-papers-lexical\",\n", |
| 465 | + " index=\"arxiv-papers\",\n", |
467 | 466 | " body={\n", |
468 | 467 | " \"size\": 10,\n", |
469 | 468 | " \"retriever\": {\"standard\": {\"query\": {\"match\": {\"title\": query}}}},\n", |
|
474 | 473 | "\n", |
475 | 474 | "# Query with Semantic Reranker\n", |
476 | 475 | "response_reranked = es.search(\n", |
477 | | - " index=\"arxiv-papers-lexical\",\n", |
| 476 | + " index=\"arxiv-papers\",\n", |
478 | 477 | " body={\n", |
479 | 478 | " \"size\": 10,\n", |
480 | 479 | " \"retriever\": {\n", |
|
494 | 493 | "metadata": { |
495 | 494 | "id": "HWXQBS35jQ3n" |
496 | 495 | }, |
497 | | - "execution_count": 12, |
| 496 | + "execution_count": null, |
498 | 497 | "outputs": [] |
499 | 498 | }, |
500 | 499 | { |
|
531 | 530 | "metadata": { |
532 | 531 | "colab": { |
533 | 532 | "base_uri": "https://localhost:8080/", |
534 | | - "height": 380 |
| 533 | + "height": 415 |
535 | 534 | }, |
536 | 535 | "id": "yTTNYCYcBtll", |
537 | 536 | "outputId": "0f0af538-13fd-4e62-e3d2-1dd185689904" |
538 | 537 | }, |
539 | | - "execution_count": 17, |
| 538 | + "execution_count": null, |
540 | 539 | "outputs": [ |
541 | 540 | { |
542 | 541 | "output_type": "execute_result", |
|
649 | 648 | }, |
650 | 649 | "outputId": "e83318ad-ca42-4aa7-98d4-37c4428eb70a" |
651 | 650 | }, |
652 | | - "execution_count": 14, |
| 651 | + "execution_count": null, |
653 | 652 | "outputs": [ |
654 | 653 | { |
655 | 654 | "output_type": "stream", |
|
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