laugustyniak commited on
Commit
cf564ba
1 Parent(s): f375707

notebook update

Browse files
Files changed (1) hide show
  1. notebooks/convert-dataset.ipynb +12 -33
notebooks/convert-dataset.ipynb CHANGED
@@ -236,8 +236,8 @@
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  "iob_dataset = pd.DataFrame([\n",
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  " {\n",
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  " **convert_spacy_to_iob(row[\"text\"], row[\"spans\"], nlp),\n",
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- " \"url\": row[\"url\"],\n",
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- " \"tweet_id\": row[\"url\"].split(\"/\")[-1],\n",
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  " }\n",
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  " for _, row\n",
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  " in tqdm(data_df.iterrows())\n",
@@ -451,63 +451,42 @@
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  {
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  "cell_type": "code",
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  "execution_count": null,
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- "id": "1180559d",
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  "metadata": {},
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  "outputs": [],
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  "source": [
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- "train.to_json(\"train.json\", orient=\"records\")\n",
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- "test.to_json(\"test.json\", orient=\"records\")\n",
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- "dev.to_json(\"dev.json\", orient=\"records\")"
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  ]
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  },
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  {
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  "cell_type": "code",
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  "execution_count": null,
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- "id": "d70338dc",
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  "metadata": {},
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  "outputs": [],
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  "source": [
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- "df = pd.read_json(\"train.json\")"
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  ]
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  },
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  {
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  "cell_type": "code",
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  "execution_count": null,
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- "id": "2e774c48",
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  "metadata": {},
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  "outputs": [],
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  "source": [
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  "df"
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  ]
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- },
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- {
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- "cell_type": "code",
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- "execution_count": null,
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- "id": "eea225bb",
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- "metadata": {},
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- "outputs": [],
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- "source": [
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- "for idx, row in df.iterrows():\n",
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- " print(row.tweet_id)"
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- ]
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- },
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- {
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- "cell_type": "code",
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- "execution_count": null,
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- "id": "7c5b26e9",
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- "metadata": {},
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- "outputs": [],
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- "source": [
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- "print(train.head(1).T.values)"
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- ]
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  }
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  ],
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  "metadata": {
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  "interpreter": {
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- "hash": "e36ecc5ec16660b989892b46ab22daaf88d1f0f732170387d9da292f75b1ccf3"
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  },
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  "kernelspec": {
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- "display_name": "Python 3.9.12 64-bit ('embeddings')",
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  "language": "python",
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  "name": "python3"
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  },
@@ -521,7 +500,7 @@
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  "name": "python",
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  "nbconvert_exporter": "python",
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  "pygments_lexer": "ipython3",
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- "version": "3.9.12"
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  }
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  },
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  "nbformat": 4,
 
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  "iob_dataset = pd.DataFrame([\n",
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  " {\n",
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  " **convert_spacy_to_iob(row[\"text\"], row[\"spans\"], nlp),\n",
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+ " # \"url\": row[\"url\"],\n",
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+ " # \"tweet_id\": row[\"url\"].split(\"/\")[-1],\n",
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  " }\n",
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  " for _, row\n",
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  " in tqdm(data_df.iterrows())\n",
 
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  {
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  "cell_type": "code",
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  "execution_count": null,
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+ "id": "fdb29857",
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  "metadata": {},
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  "outputs": [],
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  "source": [
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+ "train.to_parquet(\"../train.parquet\")\n",
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+ "test.to_parquet(\"../test.parquet\")\n",
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+ "dev.to_parquet(\"../dev.parquet\")"
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  ]
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  },
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  {
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  "cell_type": "code",
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  "execution_count": null,
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+ "id": "c5b20f97",
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  "metadata": {},
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  "outputs": [],
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  "source": [
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+ "df = pd.read_parquet(\"../train.parquet\")"
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  ]
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  },
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  {
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  "cell_type": "code",
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  "execution_count": null,
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+ "id": "e05e0d83",
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  "metadata": {},
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  "outputs": [],
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  "source": [
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  "df"
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  ]
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  }
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  ],
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  "metadata": {
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  "interpreter": {
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+ "hash": "97bd981c6355438647fbd6d64b9445f9e50a1f8ddfec47bd063c9ea6e8fe3e87"
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  },
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  "kernelspec": {
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+ "display_name": "Python 3.9.5 ('embeddings')",
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  "language": "python",
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  "name": "python3"
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  },
 
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  "name": "python",
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  "nbconvert_exporter": "python",
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  "pygments_lexer": "ipython3",
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+ "version": "3.9.5"
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  }
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  },
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  "nbformat": 4,