Upload Upload2HuggingfaceHub.ipynb
Browse filesAdd notebook for preparation of raw lines
- Upload2HuggingfaceHub.ipynb +1875 -0
Upload2HuggingfaceHub.ipynb
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{
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"text": [
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"(50000, 5)\n"
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]
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},
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{
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" title published \\\n",
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"19656 Generalized K-fan Multimodal Deep Model with S... 2015-03-26 \n",
|
| 1417 |
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"22624 Bootstrapping Monodromy Defects in the Wess-Zu... 2021-08-11 \n",
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"19165 Attention-Enhanced Neural Network Models for T... 2021-10-06 \n",
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"\n",
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" authors \\\n",
|
| 1421 |
+
"19656 [Gang Chen, Sargur N. Srihari] \n",
|
| 1422 |
+
"22624 [Aleix Gimenez-Grau, Pedro Liendo] \n",
|
| 1423 |
+
"19165 [Wenhui Peng, Zelong Yuan, Jianchun Wang] \n",
|
| 1424 |
+
"\n",
|
| 1425 |
+
" summary \\\n",
|
| 1426 |
+
"19656 Multimodal learning with deep Boltzmann machin... \n",
|
| 1427 |
+
"22624 We use analytical bootstrap techniques to stud... \n",
|
| 1428 |
+
"19165 Deep neural network models have shown a great ... \n",
|
| 1429 |
+
"\n",
|
| 1430 |
+
" link \n",
|
| 1431 |
+
"19656 http://arxiv.org/abs/1503.07906v1 \n",
|
| 1432 |
+
"22624 http://arxiv.org/abs/2108.05107v3 \n",
|
| 1433 |
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"19165 http://arxiv.org/abs/2110.02471v3 "
|
| 1434 |
+
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|
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"text/html": [
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|
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" <div>\n",
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" text-align: right;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
|
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" <thead>\n",
|
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" <tr style=\"text-align: right;\">\n",
|
| 1455 |
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" <th></th>\n",
|
| 1456 |
+
" <th>title</th>\n",
|
| 1457 |
+
" <th>published</th>\n",
|
| 1458 |
+
" <th>authors</th>\n",
|
| 1459 |
+
" <th>summary</th>\n",
|
| 1460 |
+
" <th>link</th>\n",
|
| 1461 |
+
" </tr>\n",
|
| 1462 |
+
" </thead>\n",
|
| 1463 |
+
" <tbody>\n",
|
| 1464 |
+
" <tr>\n",
|
| 1465 |
+
" <th>19656</th>\n",
|
| 1466 |
+
" <td>Generalized K-fan Multimodal Deep Model with S...</td>\n",
|
| 1467 |
+
" <td>2015-03-26</td>\n",
|
| 1468 |
+
" <td>[Gang Chen, Sargur N. Srihari]</td>\n",
|
| 1469 |
+
" <td>Multimodal learning with deep Boltzmann machin...</td>\n",
|
| 1470 |
+
" <td>http://arxiv.org/abs/1503.07906v1</td>\n",
|
| 1471 |
+
" </tr>\n",
|
| 1472 |
+
" <tr>\n",
|
| 1473 |
+
" <th>22624</th>\n",
|
| 1474 |
+
" <td>Bootstrapping Monodromy Defects in the Wess-Zu...</td>\n",
|
| 1475 |
+
" <td>2021-08-11</td>\n",
|
| 1476 |
+
" <td>[Aleix Gimenez-Grau, Pedro Liendo]</td>\n",
|
| 1477 |
+
" <td>We use analytical bootstrap techniques to stud...</td>\n",
|
| 1478 |
+
" <td>http://arxiv.org/abs/2108.05107v3</td>\n",
|
| 1479 |
+
" </tr>\n",
|
| 1480 |
+
" <tr>\n",
|
| 1481 |
+
" <th>19165</th>\n",
|
| 1482 |
+
" <td>Attention-Enhanced Neural Network Models for T...</td>\n",
|
| 1483 |
+
" <td>2021-10-06</td>\n",
|
| 1484 |
+
" <td>[Wenhui Peng, Zelong Yuan, Jianchun Wang]</td>\n",
|
| 1485 |
+
" <td>Deep neural network models have shown a great ...</td>\n",
|
| 1486 |
+
" <td>http://arxiv.org/abs/2110.02471v3</td>\n",
|
| 1487 |
+
" </tr>\n",
|
| 1488 |
+
" </tbody>\n",
|
| 1489 |
+
"</table>\n",
|
| 1490 |
+
"</div>\n",
|
| 1491 |
+
" <div class=\"colab-df-buttons\">\n",
|
| 1492 |
+
"\n",
|
| 1493 |
+
" <div class=\"colab-df-container\">\n",
|
| 1494 |
+
" <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-4f195fda-0863-48bc-ad3a-a9544293b583')\"\n",
|
| 1495 |
+
" title=\"Convert this dataframe to an interactive table.\"\n",
|
| 1496 |
+
" style=\"display:none;\">\n",
|
| 1497 |
+
"\n",
|
| 1498 |
+
" <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
|
| 1499 |
+
" <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
|
| 1500 |
+
" </svg>\n",
|
| 1501 |
+
" </button>\n",
|
| 1502 |
+
"\n",
|
| 1503 |
+
" <style>\n",
|
| 1504 |
+
" .colab-df-container {\n",
|
| 1505 |
+
" display:flex;\n",
|
| 1506 |
+
" gap: 12px;\n",
|
| 1507 |
+
" }\n",
|
| 1508 |
+
"\n",
|
| 1509 |
+
" .colab-df-convert {\n",
|
| 1510 |
+
" background-color: #E8F0FE;\n",
|
| 1511 |
+
" border: none;\n",
|
| 1512 |
+
" border-radius: 50%;\n",
|
| 1513 |
+
" cursor: pointer;\n",
|
| 1514 |
+
" display: none;\n",
|
| 1515 |
+
" fill: #1967D2;\n",
|
| 1516 |
+
" height: 32px;\n",
|
| 1517 |
+
" padding: 0 0 0 0;\n",
|
| 1518 |
+
" width: 32px;\n",
|
| 1519 |
+
" }\n",
|
| 1520 |
+
"\n",
|
| 1521 |
+
" .colab-df-convert:hover {\n",
|
| 1522 |
+
" background-color: #E2EBFA;\n",
|
| 1523 |
+
" box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
|
| 1524 |
+
" fill: #174EA6;\n",
|
| 1525 |
+
" }\n",
|
| 1526 |
+
"\n",
|
| 1527 |
+
" .colab-df-buttons div {\n",
|
| 1528 |
+
" margin-bottom: 4px;\n",
|
| 1529 |
+
" }\n",
|
| 1530 |
+
"\n",
|
| 1531 |
+
" [theme=dark] .colab-df-convert {\n",
|
| 1532 |
+
" background-color: #3B4455;\n",
|
| 1533 |
+
" fill: #D2E3FC;\n",
|
| 1534 |
+
" }\n",
|
| 1535 |
+
"\n",
|
| 1536 |
+
" [theme=dark] .colab-df-convert:hover {\n",
|
| 1537 |
+
" background-color: #434B5C;\n",
|
| 1538 |
+
" box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
|
| 1539 |
+
" filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
|
| 1540 |
+
" fill: #FFFFFF;\n",
|
| 1541 |
+
" }\n",
|
| 1542 |
+
" </style>\n",
|
| 1543 |
+
"\n",
|
| 1544 |
+
" <script>\n",
|
| 1545 |
+
" const buttonEl =\n",
|
| 1546 |
+
" document.querySelector('#df-4f195fda-0863-48bc-ad3a-a9544293b583 button.colab-df-convert');\n",
|
| 1547 |
+
" buttonEl.style.display =\n",
|
| 1548 |
+
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
|
| 1549 |
+
"\n",
|
| 1550 |
+
" async function convertToInteractive(key) {\n",
|
| 1551 |
+
" const element = document.querySelector('#df-4f195fda-0863-48bc-ad3a-a9544293b583');\n",
|
| 1552 |
+
" const dataTable =\n",
|
| 1553 |
+
" await google.colab.kernel.invokeFunction('convertToInteractive',\n",
|
| 1554 |
+
" [key], {});\n",
|
| 1555 |
+
" if (!dataTable) return;\n",
|
| 1556 |
+
"\n",
|
| 1557 |
+
" const docLinkHtml = 'Like what you see? Visit the ' +\n",
|
| 1558 |
+
" '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
|
| 1559 |
+
" + ' to learn more about interactive tables.';\n",
|
| 1560 |
+
" element.innerHTML = '';\n",
|
| 1561 |
+
" dataTable['output_type'] = 'display_data';\n",
|
| 1562 |
+
" await google.colab.output.renderOutput(dataTable, element);\n",
|
| 1563 |
+
" const docLink = document.createElement('div');\n",
|
| 1564 |
+
" docLink.innerHTML = docLinkHtml;\n",
|
| 1565 |
+
" element.appendChild(docLink);\n",
|
| 1566 |
+
" }\n",
|
| 1567 |
+
" </script>\n",
|
| 1568 |
+
" </div>\n",
|
| 1569 |
+
"\n",
|
| 1570 |
+
"\n",
|
| 1571 |
+
"<div id=\"df-f3876554-a3ae-453f-bdf1-cad6758528ba\">\n",
|
| 1572 |
+
" <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-f3876554-a3ae-453f-bdf1-cad6758528ba')\"\n",
|
| 1573 |
+
" title=\"Suggest charts.\"\n",
|
| 1574 |
+
" style=\"display:none;\">\n",
|
| 1575 |
+
"\n",
|
| 1576 |
+
"<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
|
| 1577 |
+
" width=\"24px\">\n",
|
| 1578 |
+
" <g>\n",
|
| 1579 |
+
" <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
|
| 1580 |
+
" </g>\n",
|
| 1581 |
+
"</svg>\n",
|
| 1582 |
+
" </button>\n",
|
| 1583 |
+
"\n",
|
| 1584 |
+
"<style>\n",
|
| 1585 |
+
" .colab-df-quickchart {\n",
|
| 1586 |
+
" --bg-color: #E8F0FE;\n",
|
| 1587 |
+
" --fill-color: #1967D2;\n",
|
| 1588 |
+
" --hover-bg-color: #E2EBFA;\n",
|
| 1589 |
+
" --hover-fill-color: #174EA6;\n",
|
| 1590 |
+
" --disabled-fill-color: #AAA;\n",
|
| 1591 |
+
" --disabled-bg-color: #DDD;\n",
|
| 1592 |
+
" }\n",
|
| 1593 |
+
"\n",
|
| 1594 |
+
" [theme=dark] .colab-df-quickchart {\n",
|
| 1595 |
+
" --bg-color: #3B4455;\n",
|
| 1596 |
+
" --fill-color: #D2E3FC;\n",
|
| 1597 |
+
" --hover-bg-color: #434B5C;\n",
|
| 1598 |
+
" --hover-fill-color: #FFFFFF;\n",
|
| 1599 |
+
" --disabled-bg-color: #3B4455;\n",
|
| 1600 |
+
" --disabled-fill-color: #666;\n",
|
| 1601 |
+
" }\n",
|
| 1602 |
+
"\n",
|
| 1603 |
+
" .colab-df-quickchart {\n",
|
| 1604 |
+
" background-color: var(--bg-color);\n",
|
| 1605 |
+
" border: none;\n",
|
| 1606 |
+
" border-radius: 50%;\n",
|
| 1607 |
+
" cursor: pointer;\n",
|
| 1608 |
+
" display: none;\n",
|
| 1609 |
+
" fill: var(--fill-color);\n",
|
| 1610 |
+
" height: 32px;\n",
|
| 1611 |
+
" padding: 0;\n",
|
| 1612 |
+
" width: 32px;\n",
|
| 1613 |
+
" }\n",
|
| 1614 |
+
"\n",
|
| 1615 |
+
" .colab-df-quickchart:hover {\n",
|
| 1616 |
+
" background-color: var(--hover-bg-color);\n",
|
| 1617 |
+
" box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
|
| 1618 |
+
" fill: var(--button-hover-fill-color);\n",
|
| 1619 |
+
" }\n",
|
| 1620 |
+
"\n",
|
| 1621 |
+
" .colab-df-quickchart-complete:disabled,\n",
|
| 1622 |
+
" .colab-df-quickchart-complete:disabled:hover {\n",
|
| 1623 |
+
" background-color: var(--disabled-bg-color);\n",
|
| 1624 |
+
" fill: var(--disabled-fill-color);\n",
|
| 1625 |
+
" box-shadow: none;\n",
|
| 1626 |
+
" }\n",
|
| 1627 |
+
"\n",
|
| 1628 |
+
" .colab-df-spinner {\n",
|
| 1629 |
+
" border: 2px solid var(--fill-color);\n",
|
| 1630 |
+
" border-color: transparent;\n",
|
| 1631 |
+
" border-bottom-color: var(--fill-color);\n",
|
| 1632 |
+
" animation:\n",
|
| 1633 |
+
" spin 1s steps(1) infinite;\n",
|
| 1634 |
+
" }\n",
|
| 1635 |
+
"\n",
|
| 1636 |
+
" @keyframes spin {\n",
|
| 1637 |
+
" 0% {\n",
|
| 1638 |
+
" border-color: transparent;\n",
|
| 1639 |
+
" border-bottom-color: var(--fill-color);\n",
|
| 1640 |
+
" border-left-color: var(--fill-color);\n",
|
| 1641 |
+
" }\n",
|
| 1642 |
+
" 20% {\n",
|
| 1643 |
+
" border-color: transparent;\n",
|
| 1644 |
+
" border-left-color: var(--fill-color);\n",
|
| 1645 |
+
" border-top-color: var(--fill-color);\n",
|
| 1646 |
+
" }\n",
|
| 1647 |
+
" 30% {\n",
|
| 1648 |
+
" border-color: transparent;\n",
|
| 1649 |
+
" border-left-color: var(--fill-color);\n",
|
| 1650 |
+
" border-top-color: var(--fill-color);\n",
|
| 1651 |
+
" border-right-color: var(--fill-color);\n",
|
| 1652 |
+
" }\n",
|
| 1653 |
+
" 40% {\n",
|
| 1654 |
+
" border-color: transparent;\n",
|
| 1655 |
+
" border-right-color: var(--fill-color);\n",
|
| 1656 |
+
" border-top-color: var(--fill-color);\n",
|
| 1657 |
+
" }\n",
|
| 1658 |
+
" 60% {\n",
|
| 1659 |
+
" border-color: transparent;\n",
|
| 1660 |
+
" border-right-color: var(--fill-color);\n",
|
| 1661 |
+
" }\n",
|
| 1662 |
+
" 80% {\n",
|
| 1663 |
+
" border-color: transparent;\n",
|
| 1664 |
+
" border-right-color: var(--fill-color);\n",
|
| 1665 |
+
" border-bottom-color: var(--fill-color);\n",
|
| 1666 |
+
" }\n",
|
| 1667 |
+
" 90% {\n",
|
| 1668 |
+
" border-color: transparent;\n",
|
| 1669 |
+
" border-bottom-color: var(--fill-color);\n",
|
| 1670 |
+
" }\n",
|
| 1671 |
+
" }\n",
|
| 1672 |
+
"</style>\n",
|
| 1673 |
+
"\n",
|
| 1674 |
+
" <script>\n",
|
| 1675 |
+
" async function quickchart(key) {\n",
|
| 1676 |
+
" const quickchartButtonEl =\n",
|
| 1677 |
+
" document.querySelector('#' + key + ' button');\n",
|
| 1678 |
+
" quickchartButtonEl.disabled = true; // To prevent multiple clicks.\n",
|
| 1679 |
+
" quickchartButtonEl.classList.add('colab-df-spinner');\n",
|
| 1680 |
+
" try {\n",
|
| 1681 |
+
" const charts = await google.colab.kernel.invokeFunction(\n",
|
| 1682 |
+
" 'suggestCharts', [key], {});\n",
|
| 1683 |
+
" } catch (error) {\n",
|
| 1684 |
+
" console.error('Error during call to suggestCharts:', error);\n",
|
| 1685 |
+
" }\n",
|
| 1686 |
+
" quickchartButtonEl.classList.remove('colab-df-spinner');\n",
|
| 1687 |
+
" quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
|
| 1688 |
+
" }\n",
|
| 1689 |
+
" (() => {\n",
|
| 1690 |
+
" let quickchartButtonEl =\n",
|
| 1691 |
+
" document.querySelector('#df-f3876554-a3ae-453f-bdf1-cad6758528ba button');\n",
|
| 1692 |
+
" quickchartButtonEl.style.display =\n",
|
| 1693 |
+
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
|
| 1694 |
+
" })();\n",
|
| 1695 |
+
" </script>\n",
|
| 1696 |
+
"</div>\n",
|
| 1697 |
+
" </div>\n",
|
| 1698 |
+
" </div>\n"
|
| 1699 |
+
]
|
| 1700 |
+
},
|
| 1701 |
+
"metadata": {},
|
| 1702 |
+
"execution_count": 5
|
| 1703 |
+
}
|
| 1704 |
+
]
|
| 1705 |
+
},
|
| 1706 |
+
{
|
| 1707 |
+
"cell_type": "code",
|
| 1708 |
+
"source": [
|
| 1709 |
+
"BOS, EOS = ' ', '\\n'\n",
|
| 1710 |
+
"lines = data.apply(lambda row: unicode2ascii((row['title'] + ' ; ' + row['summary'])), axis=1) \\\n",
|
| 1711 |
+
" .apply(lambda line: BOS + line.replace(EOS, ' ')) \\\n",
|
| 1712 |
+
" .tolist()"
|
| 1713 |
+
],
|
| 1714 |
+
"metadata": {
|
| 1715 |
+
"id": "TqWZI1T1xpT4"
|
| 1716 |
+
},
|
| 1717 |
+
"execution_count": 6,
|
| 1718 |
+
"outputs": []
|
| 1719 |
+
},
|
| 1720 |
+
{
|
| 1721 |
+
"cell_type": "code",
|
| 1722 |
+
"source": [
|
| 1723 |
+
"with open('title_summary_ascii.txt', 'w') as fp:\n",
|
| 1724 |
+
" fp.write('\\n'.join(lines) + '\\n')"
|
| 1725 |
+
],
|
| 1726 |
+
"metadata": {
|
| 1727 |
+
"id": "RWWmOqh6yLo1"
|
| 1728 |
+
},
|
| 1729 |
+
"execution_count": 7,
|
| 1730 |
+
"outputs": []
|
| 1731 |
+
},
|
| 1732 |
+
{
|
| 1733 |
+
"cell_type": "code",
|
| 1734 |
+
"source": [
|
| 1735 |
+
"!tar -zcf title_summary_ascii.txt.tar.gz title_summary_ascii.txt"
|
| 1736 |
+
],
|
| 1737 |
+
"metadata": {
|
| 1738 |
+
"id": "ZgoI9yk4y2gl"
|
| 1739 |
+
},
|
| 1740 |
+
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{
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"cell_type": "code",
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"source": [
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| 1746 |
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"from datasets import load_dataset\n",
|
| 1747 |
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"from huggingface_hub import HfApi\n",
|
| 1748 |
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"from huggingface_hub import login\n",
|
| 1749 |
+
"login()"
|
| 1750 |
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],
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| 1751 |
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"execution_count": 8,
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"outputs": [
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{
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"output_type": "display_data",
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"data": {
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"text/plain": [
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"cell_type": "code",
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| 1814 |
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"api = HfApi()\n",
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| 1815 |
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|
| 1816 |
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" path_or_fileobj=\"title_summary_ascii.txt.tar.gz\",\n",
|
| 1817 |
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" path_in_repo=\"title_summary_ascii.txt.tar.gz\",\n",
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| 1818 |
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" repo_id=\"sswt/arxiv_sample_50K\",\n",
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| 1819 |
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" repo_type=\"dataset\",\n",
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")"
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],
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"execution_count": 11,
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{
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"data": {
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| 1848 |
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"text/plain": [
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]
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}
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