{
  "id": 665928,
  "title": "Formatting suggestions",
  "url": "/competitions/deep-past-initiative-machine-translation/discussion/665928",
  "author_name": "",
  "post_date": "2026-01-04T12:49:21.933277Z",
  "votes": 5,
  "comment_count": 5,
  "views": 0,
  "content": "<p><a href=\"https://www.kaggle.com/deeppast\" target=\"_blank\">@deeppast</a> as per the competition overview we should remove word dividers like <code>:</code> OR <code>.</code>.\nDoes that mean we should change KÙ.BABBAR to KÙBABBAR ? In other words, are the <code>.</code> in ITU.KAM, KÙ.BABBAR etc word dividers (that should be removed)? </p>\n<blockquote>\n  <p>Remove (modern scribal notations):</p>\n  <p>: OR . (word divider)</p>\n</blockquote>",
  "messages": [
    {
      "id": "3386035",
      "postDate": "01/04/2026 12:49:21",
      "content": "<p><a href=\"https://www.kaggle.com/deeppast\" target=\"_blank\">@deeppast</a> as per the competition overview we should remove word dividers like <code>:</code> OR <code>.</code>.\nDoes that mean we should change KÙ.BABBAR to KÙBABBAR ? In other words, are the <code>.</code> in ITU.KAM, KÙ.BABBAR etc word dividers (that should be removed)? </p>\n<blockquote>\n  <p>Remove (modern scribal notations):</p>\n  <p>: OR . (word divider)</p>\n</blockquote>",
      "rawMarkdown": "deeppast as per the competition overview we should remove word dividers like `:` OR `.`.\nDoes that mean we should change KÙ.BABBAR to KÙBABBAR ? In other words, are the `.` in ITU.KAM, KÙ.BABBAR etc word dividers (that should be removed)? \n\n>Remove (modern scribal notations):\n\n>: OR . (word divider)",
      "votes": null
    },
    {
      "id": "3387244",
      "postDate": "01/06/2026 15:57:21",
      "content": "<p>No, those word dividers are only found together with white spaces on both sides: ' : ' OR ' . ' \nThe logograms you listed were not changed from their original format, but it is good to know that scholars use both 'KÙ.BABBAR' and 'KÙ.B.' / 'KÙ.B' in their transliterations.</p>",
      "rawMarkdown": "No, those word dividers are only found together with white spaces on both sides: ' : ' OR ' . ' \nThe logograms you listed were not changed from their original format, but it is good to know that scholars use both 'KÙ.BABBAR' and 'KÙ.B.' / 'KÙ.B' in their transliterations.",
      "votes": null
    },
    {
      "id": "3387821",
      "postDate": "01/07/2026 17:09:13",
      "content": "<p>Is somewhere everything we need to know about train / test differences and how the actual metrics are calculated maybe with examples in one place?\nIt is discouraging that things are scattered through the discussions, and I can't even let an LLM deep research read all the comments to collect these information because the kaggle platform does not make it possible.</p>",
      "rawMarkdown": "Is somewhere everything we need to know about train / test differences and how the actual metrics are calculated maybe with examples in one place?\nIt is discouraging that things are scattered through the discussions, and I can't even let an LLM deep research read all the comments to collect these information because the kaggle platform does not make it possible.",
      "votes": null
    },
    {
      "id": "3387834",
      "postDate": "01/07/2026 17:30:26",
      "content": "<p>That's a good suggestion. As yet there is no such document, but I can work on that.</p>",
      "rawMarkdown": "That's a good suggestion. As yet there is no such document, but I can work on that.",
      "votes": null
    },
    {
      "id": "3388435",
      "postDate": "01/08/2026 20:18:03",
      "content": "<p>Hi <a href=\"https://www.kaggle.com/nofreewill\" target=\"_blank\">@nofreewill</a>,</p>\n<p>You can find a brief description of the evaluation metric on the <a href=\"https://www.kaggle.com/competitions/deep-past-initiative-machine-translation/overview/evaluation\" target=\"_blank\">Evaluation</a> page. The actual implementation we use for scoring is in this notebook: <a href=\"https://www.kaggle.com/code/metric/dpi-bleu-chrf\" target=\"_blank\">DPI BLEU / chrF++</a>. The Evaluation page links to papers describing BLEU and chrF++, or you could refer to the <code>sacrebleu</code> documentation and source code.</p>",
      "rawMarkdown": "Hi @nofreewill,\n\nYou can find a brief description of the evaluation metric on the [Evaluation](https://www.kaggle.com/competitions/deep-past-initiative-machine-translation/overview/evaluation) page. The actual implementation we use for scoring is in this notebook: [DPI BLEU / chrF++](https://www.kaggle.com/code/metric/dpi-bleu-chrf). The Evaluation page links to papers describing BLEU and chrF++, or you could refer to the `sacrebleu` documentation and source code.",
      "votes": null
    },
    {
      "id": "3390522",
      "postDate": "01/13/2026 10:46:18",
      "content": "<blockquote>\n  <p>Remove (modern scribal notations):  </p>\n  <ul>\n  <li>! (certain reading)  </li>\n  <li>? (questionable reading)</li>\n  </ul>\n</blockquote>\n<p><a href=\"https://www.kaggle.com/deeppast\" target=\"_blank\">@deeppast</a> how to distinguish between an \"!\" as punctuation vs one that is a scribal notation? Same question for the question mark \"?\"\nThe <code>train.csv</code> looks mostly clean with some exceptions like \"The  which Mati? and Tibula ..\" and there are cases where one has \"(?)\" which is possibly a scribal notation(?)</p>\n<p>BTW it isn't entirely clear to me if this section on formatting suggestions (Formatting Suggestions for Transliterations and Translations) is meant for <code>train.csv</code> or only/mainly for the <code>publications.csv</code>? </p>\n<p>I am aware of the fact that <code>published_texts.csv</code> has cleaned up the transliterations as per the formatting suggestions but I am asking about the translations.</p>",
      "rawMarkdown": ">Remove (modern scribal notations):  \n -   ! (certain reading)  \n -  ? (questionable reading)\n\n\n@deeppast how to distinguish between an \"!\" as punctuation vs one that is a scribal notation? Same question for the question mark \"?\"\nThe `train.csv` looks mostly clean with some exceptions like \"The  which Mati? and Tibula ..\" and there are cases where one has \"(?)\" which is possibly a scribal notation(?)\n\nBTW it isn't entirely clear to me if this section on formatting suggestions (Formatting Suggestions for Transliterations and Translations) is meant for `train.csv` or only/mainly for the `publications.csv`? \n\nI am aware of the fact that `published_texts.csv` has cleaned up the transliterations as per the formatting suggestions but I am asking about the translations.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 3387244,
      "author_name": "deeppast",
      "author_url": "",
      "post_date": "01/06/2026 15:57:21",
      "content": "<p>No, those word dividers are only found together with white spaces on both sides: ' : ' OR ' . ' \nThe logograms you listed were not changed from their original format, but it is good to know that scholars use both 'KÙ.BABBAR' and 'KÙ.B.' / 'KÙ.B' in their transliterations.</p>",
      "votes": null,
      "replies": [
        {
          "id": 3387821,
          "author_name": "nofreewill",
          "author_url": "",
          "post_date": "01/07/2026 17:09:13",
          "content": "<p>Is somewhere everything we need to know about train / test differences and how the actual metrics are calculated maybe with examples in one place?\nIt is discouraging that things are scattered through the discussions, and I can't even let an LLM deep research read all the comments to collect these information because the kaggle platform does not make it possible.</p>",
          "votes": null,
          "replies": [
            {
              "id": 3387834,
              "author_name": "deeppast",
              "author_url": "",
              "post_date": "01/07/2026 17:30:26",
              "content": "<p>That's a good suggestion. As yet there is no such document, but I can work on that.</p>",
              "votes": null,
              "replies": []
            },
            {
              "id": 3388435,
              "author_name": "ryanholbrook",
              "author_url": "",
              "post_date": "01/08/2026 20:18:03",
              "content": "<p>Hi <a href=\"https://www.kaggle.com/nofreewill\" target=\"_blank\">@nofreewill</a>,</p>\n<p>You can find a brief description of the evaluation metric on the <a href=\"https://www.kaggle.com/competitions/deep-past-initiative-machine-translation/overview/evaluation\" target=\"_blank\">Evaluation</a> page. The actual implementation we use for scoring is in this notebook: <a href=\"https://www.kaggle.com/code/metric/dpi-bleu-chrf\" target=\"_blank\">DPI BLEU / chrF++</a>. The Evaluation page links to papers describing BLEU and chrF++, or you could refer to the <code>sacrebleu</code> documentation and source code.</p>",
              "votes": null,
              "replies": []
            }
          ]
        }
      ]
    },
    {
      "id": 3390522,
      "author_name": "einherjer",
      "author_url": "",
      "post_date": "01/13/2026 10:46:18",
      "content": "<blockquote>\n  <p>Remove (modern scribal notations):  </p>\n  <ul>\n  <li>! (certain reading)  </li>\n  <li>? (questionable reading)</li>\n  </ul>\n</blockquote>\n<p><a href=\"https://www.kaggle.com/deeppast\" target=\"_blank\">@deeppast</a> how to distinguish between an \"!\" as punctuation vs one that is a scribal notation? Same question for the question mark \"?\"\nThe <code>train.csv</code> looks mostly clean with some exceptions like \"The  which Mati? and Tibula ..\" and there are cases where one has \"(?)\" which is possibly a scribal notation(?)</p>\n<p>BTW it isn't entirely clear to me if this section on formatting suggestions (Formatting Suggestions for Transliterations and Translations) is meant for <code>train.csv</code> or only/mainly for the <code>publications.csv</code>? </p>\n<p>I am aware of the fact that <code>published_texts.csv</code> has cleaned up the transliterations as per the formatting suggestions but I am asking about the translations.</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "3386035": "deeppast as per the competition overview we should remove word dividers like `:` OR `.`.\nDoes that mean we should change KÙ.BABBAR to KÙBABBAR ? In other words, are the `.` in ITU.KAM, KÙ.BABBAR etc word dividers (that should be removed)? \n\n>Remove (modern scribal notations):\n\n>: OR . (word divider)",
    "3387244": "No, those word dividers are only found together with white spaces on both sides: ' : ' OR ' . ' \nThe logograms you listed were not changed from their original format, but it is good to know that scholars use both 'KÙ.BABBAR' and 'KÙ.B.' / 'KÙ.B' in their transliterations.",
    "3387821": "Is somewhere everything we need to know about train / test differences and how the actual metrics are calculated maybe with examples in one place?\nIt is discouraging that things are scattered through the discussions, and I can't even let an LLM deep research read all the comments to collect these information because the kaggle platform does not make it possible.",
    "3387834": "That's a good suggestion. As yet there is no such document, but I can work on that.",
    "3388435": "Hi @nofreewill,\n\nYou can find a brief description of the evaluation metric on the [Evaluation](https://www.kaggle.com/competitions/deep-past-initiative-machine-translation/overview/evaluation) page. The actual implementation we use for scoring is in this notebook: [DPI BLEU / chrF++](https://www.kaggle.com/code/metric/dpi-bleu-chrf). The Evaluation page links to papers describing BLEU and chrF++, or you could refer to the `sacrebleu` documentation and source code.",
    "3390522": ">Remove (modern scribal notations):  \n -   ! (certain reading)  \n -  ? (questionable reading)\n\n\n@deeppast how to distinguish between an \"!\" as punctuation vs one that is a scribal notation? Same question for the question mark \"?\"\nThe `train.csv` looks mostly clean with some exceptions like \"The  which Mati? and Tibula ..\" and there are cases where one has \"(?)\" which is possibly a scribal notation(?)\n\nBTW it isn't entirely clear to me if this section on formatting suggestions (Formatting Suggestions for Transliterations and Translations) is meant for `train.csv` or only/mainly for the `publications.csv`? \n\nI am aware of the fact that `published_texts.csv` has cleaned up the transliterations as per the formatting suggestions but I am asking about the translations."
  },
  "source": "meta"
}