Updating README

main.py

@@ -8,6 +8,7 @@ from huggingface_hub import login
 
 from my_logger import setup_logger
 from utilities.pushshift_data import scrape_submissions_by_day, submissions_to_dataframe
+from utilities.readme_update import update_readme
 
 # Set dataset name, path to README.md, and existing dataset details
 subreddit = os.environ["SUBREDDIT"]
@@ -22,38 +23,6 @@ login(auth_token, add_to_git_credential=True)
 logger = setup_logger(__name__)
 
 
-def update_readme(dataset_name, subreddit, date_to_fetch):
-    readme_text = f"""
-    # {dataset_name}
-
-    ## Dataset Overview
-    The goal is to have an open dataset of `{subreddit}` submissions. This has been taken from the Pushshift API.
-
-    ## Data Collection
-    This has been collected with sequential calls that follow the pagination of the pushshift request. 
-
-
-    ## Data Structure
-    - `all_days`: All the data after `{os.environ["START_DATE"]}`
-
-    ## Update Frequency
-    The dataset is updated daily and covers the period from `{os.environ["START_DATE"]}` to two days ago.
-
-    ## Attribution
-    Data sourced from the Pushshift API.
-
-    ## Change Log
-    <details>
-    <summary>Click to expand</summary>
-
-    - **{datetime.now().strftime('%Y-%m-%d')}:** Added data for {date_to_fetch} to the 'all_days' split and saved as CSV
-
-    </details>
-    """
-
-    return readme_text
-
-
 def main(date_to_fetch):
     """
     Runs the main data processing function to fetch and process subreddit data for the specified date.

notebooks/validate.ipynb

@@ -37,28 +37,42 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
-   "id": "9264a232",
+   "execution_count": 28,
+   "id": "00affc9a",
    "metadata": {},
    "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "a106bb47c1194b15bc289d2ef24258af",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Downloading readme:   0%|          | 0.00/804 [00:00<?, ?B/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Using custom data configuration derek-thomas--dataset-creator-askreddit-806417599346c17a\n"
+      "Using custom data configuration derek-thomas--dataset-creator-askreddit-a3c1289ebaf83d16\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Downloading and preparing dataset None/None to /Users/derekthomas/.cache/huggingface/datasets/derek-thomas___parquet/derek-thomas--dataset-creator-askreddit-806417599346c17a/0.0.0/2a3b91fbd88a2c90d1dbbb32b460cf621d31bd5b05b934492fdef7d8d6f236ec...\n"
+      "Downloading and preparing dataset None/None to /Users/derekthomas/.cache/huggingface/datasets/derek-thomas___parquet/derek-thomas--dataset-creator-askreddit-a3c1289ebaf83d16/0.0.0/2a3b91fbd88a2c90d1dbbb32b460cf621d31bd5b05b934492fdef7d8d6f236ec...\n"
      ]
     },
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "b65ec8c7f33a40eeac5d15e6a527f830",
+       "model_id": "705d55e70bf442f98a51dd0618a5c2c6",
        "version_major": 2,
        "version_minor": 0
       },
@@ -72,7 +86,21 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "2d93949f1f0144779349c73c58a68ca9",
+       "model_id": "139220a81674444997f7657a4c2e1a01",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Downloading data:   0%|          | 0.00/702k [00:00<?, ?B/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "1a361406937144cebd4ff6168e56ec3d",
        "version_major": 2,
        "version_minor": 0
       },
@@ -91,7 +119,7 @@
        "version_minor": 0
       },
       "text/plain": [
-       "Generating all_days split:   0%|          | 0/2468888 [00:00<?, ? examples/s]"
+       "Generating all_days split:   0%|          | 0/3272 [00:00<?, ? examples/s]"
       ]
      },
      "metadata": {},
@@ -101,13 +129,13 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Dataset parquet downloaded and prepared to /Users/derekthomas/.cache/huggingface/datasets/derek-thomas___parquet/derek-thomas--dataset-creator-askreddit-806417599346c17a/0.0.0/2a3b91fbd88a2c90d1dbbb32b460cf621d31bd5b05b934492fdef7d8d6f236ec. Subsequent calls will reuse this data.\n"
+      "Dataset parquet downloaded and prepared to /Users/derekthomas/.cache/huggingface/datasets/derek-thomas___parquet/derek-thomas--dataset-creator-askreddit-a3c1289ebaf83d16/0.0.0/2a3b91fbd88a2c90d1dbbb32b460cf621d31bd5b05b934492fdef7d8d6f236ec. Subsequent calls will reuse this data.\n"
      ]
     },
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "0e62c7e8b3c74aa5af3b87ab17e6cb1f",
+       "model_id": "4df7107473904386aebd66c543858abd",
        "version_major": 2,
        "version_minor": 0
       },
@@ -125,7 +153,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 29,
    "id": "ba84be68",
    "metadata": {},
    "outputs": [
@@ -161,6 +189,8 @@
        "      <th>id</th>\n",
        "      <th>downs</th>\n",
        "      <th>ups</th>\n",
+       "      <th>date</th>\n",
+       "      <th>time</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
@@ -172,11 +202,13 @@
        "      <td>/r/AskReddit/comments/15sn6y/reddit_if_someone...</td>\n",
        "      <td>They would be talking about you without your p...</td>\n",
        "      <td>http://www.reddit.com/r/AskReddit/comments/15s...</td>\n",
-       "      <td>2013-01-01 23:59:40</td>\n",
+       "      <td>2013-01-01 23:59:40+00:00</td>\n",
        "      <td>[deleted]</td>\n",
        "      <td>15sn6y</td>\n",
        "      <td>0</td>\n",
        "      <td>2</td>\n",
+       "      <td>2013-01-01</td>\n",
+       "      <td>23:59:40</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
@@ -186,11 +218,13 @@
        "      <td>/r/AskReddit/comments/15sn6m/what_kind_of_car_...</td>\n",
        "      <td>I've always wanted to know what kind of car th...</td>\n",
        "      <td>http://www.reddit.com/r/AskReddit/comments/15s...</td>\n",
-       "      <td>2013-01-01 23:59:31</td>\n",
+       "      <td>2013-01-01 23:59:31+00:00</td>\n",
        "      <td>PaytonAdams</td>\n",
        "      <td>15sn6m</td>\n",
        "      <td>0</td>\n",
        "      <td>5</td>\n",
+       "      <td>2013-01-01</td>\n",
+       "      <td>23:59:31</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
@@ -200,11 +234,13 @@
        "      <td>/r/AskReddit/comments/15sn6b/what_movies_have_...</td>\n",
        "      <td></td>\n",
        "      <td>http://www.reddit.com/r/AskReddit/comments/15s...</td>\n",
-       "      <td>2013-01-01 23:59:20</td>\n",
+       "      <td>2013-01-01 23:59:20+00:00</td>\n",
        "      <td>[deleted]</td>\n",
        "      <td>15sn6b</td>\n",
        "      <td>0</td>\n",
        "      <td>1</td>\n",
+       "      <td>2013-01-01</td>\n",
+       "      <td>23:59:20</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
@@ -214,11 +250,13 @@
        "      <td>/r/AskReddit/comments/15sn4u/worst_fears/</td>\n",
        "      <td>So what is your worst fear, reddit?</td>\n",
        "      <td>http://www.reddit.com/r/AskReddit/comments/15s...</td>\n",
-       "      <td>2013-01-01 23:58:37</td>\n",
+       "      <td>2013-01-01 23:58:37+00:00</td>\n",
        "      <td>[deleted]</td>\n",
        "      <td>15sn4u</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
+       "      <td>2013-01-01</td>\n",
+       "      <td>23:58:37</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
@@ -228,11 +266,13 @@
        "      <td>/r/AskReddit/comments/15sn44/if_there_was_a_ty...</td>\n",
        "      <td></td>\n",
        "      <td>http://www.reddit.com/r/AskReddit/comments/15s...</td>\n",
-       "      <td>2013-01-01 23:58:15</td>\n",
+       "      <td>2013-01-01 23:58:15+00:00</td>\n",
        "      <td>Honeybeard</td>\n",
        "      <td>15sn44</td>\n",
        "      <td>0</td>\n",
        "      <td>11</td>\n",
+       "      <td>2013-01-01</td>\n",
+       "      <td>23:58:15</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>...</th>\n",
@@ -247,165 +287,177 @@
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>3293628</th>\n",
-       "      <td>1</td>\n",
+       "      <th>3267</th>\n",
+       "      <td>0</td>\n",
+       "      <td>11</td>\n",
+       "      <td>Smokers of Reddit- What are your reasons for s...</td>\n",
+       "      <td>/r/AskReddit/comments/15qzen/smokers_of_reddit...</td>\n",
+       "      <td>I'm very curious as to what causes someone to ...</td>\n",
+       "      <td>http://www.reddit.com/r/AskReddit/comments/15q...</td>\n",
+       "      <td>2013-01-01 00:01:36+00:00</td>\n",
+       "      <td>kelsofb</td>\n",
+       "      <td>15qzen</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2013-01-01</td>\n",
+       "      <td>00:01:36</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3268</th>\n",
        "      <td>1</td>\n",
-       "      <td>Help me get an idea of cost of living</td>\n",
-       "      <td>/r/AskReddit/comments/2cjj63/help_me_get_an_id...</td>\n",
+       "      <td>4</td>\n",
+       "      <td>Hi</td>\n",
+       "      <td>/r/AskReddit/comments/15qzei/hi/</td>\n",
        "      <td></td>\n",
-       "      <td>http://www.reddit.com/r/AskReddit/comments/2cj...</td>\n",
-       "      <td>2014-08-04 00:01:20</td>\n",
-       "      <td>bbent4698</td>\n",
-       "      <td>2cjj63</td>\n",
+       "      <td>http://www.reddit.com/r/AskReddit/comments/15q...</td>\n",
+       "      <td>2013-01-01 00:01:34+00:00</td>\n",
+       "      <td>ImJE5US</td>\n",
+       "      <td>15qzei</td>\n",
        "      <td>0</td>\n",
        "      <td>1</td>\n",
+       "      <td>2013-01-01</td>\n",
+       "      <td>00:01:34</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>3293629</th>\n",
+       "      <th>3269</th>\n",
+       "      <td>1</td>\n",
        "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>If you used a prism to separate light and then...</td>\n",
-       "      <td>/r/AskReddit/comments/2cjj5v/if_you_used_a_pri...</td>\n",
+       "      <td>At the stroke of midnight I was writing this p...</td>\n",
+       "      <td>/r/AskReddit/comments/15qzdx/at_the_stroke_of_...</td>\n",
        "      <td></td>\n",
-       "      <td>http://www.reddit.com/r/AskReddit/comments/2cj...</td>\n",
-       "      <td>2014-08-04 00:01:19</td>\n",
-       "      <td>Ajmb_88</td>\n",
-       "      <td>2cjj5v</td>\n",
+       "      <td>http://www.reddit.com/r/AskReddit/comments/15q...</td>\n",
+       "      <td>2013-01-01 00:01:15+00:00</td>\n",
+       "      <td>Sangfroid_Sonder</td>\n",
+       "      <td>15qzdx</td>\n",
        "      <td>0</td>\n",
-       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2013-01-01</td>\n",
+       "      <td>00:01:15</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>3293630</th>\n",
-       "      <td>0</td>\n",
-       "      <td>11</td>\n",
-       "      <td>Reddit, what was it like the first time you go...</td>\n",
-       "      <td>/r/AskReddit/comments/2cjj4s/reddit_what_was_i...</td>\n",
+       "      <th>3270</th>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>With all the rape stories in the news, why don...</td>\n",
+       "      <td>/r/AskReddit/comments/15qzdc/with_all_the_rape...</td>\n",
        "      <td></td>\n",
-       "      <td>http://www.reddit.com/r/AskReddit/comments/2cj...</td>\n",
-       "      <td>2014-08-04 00:01:01</td>\n",
-       "      <td>da-gonzo</td>\n",
-       "      <td>2cjj4s</td>\n",
-       "      <td>0</td>\n",
+       "      <td>http://www.reddit.com/r/AskReddit/comments/15q...</td>\n",
+       "      <td>2013-01-01 00:00:58+00:00</td>\n",
+       "      <td>[deleted]</td>\n",
+       "      <td>15qzdc</td>\n",
        "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2013-01-01</td>\n",
+       "      <td>00:00:58</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>3293631</th>\n",
-       "      <td>1452</td>\n",
-       "      <td>3140</td>\n",
-       "      <td>People who refuse to be organ donors, why do y...</td>\n",
-       "      <td>/r/AskReddit/comments/2cjj31/people_who_refuse...</td>\n",
-       "      <td>R.I.P my inbox</td>\n",
-       "      <td>http://www.reddit.com/r/AskReddit/comments/2cj...</td>\n",
-       "      <td>2014-08-04 00:00:36</td>\n",
-       "      <td>JohnnySniperr</td>\n",
-       "      <td>2cjj31</td>\n",
+       "      <th>3271</th>\n",
        "      <td>0</td>\n",
-       "      <td>1452</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3293632</th>\n",
-       "      <td>2</td>\n",
-       "      <td>9</td>\n",
-       "      <td>What always happens when you travel abroad?</td>\n",
-       "      <td>/r/AskReddit/comments/2cjj2a/what_always_happe...</td>\n",
-       "      <td></td>\n",
-       "      <td>http://www.reddit.com/r/AskReddit/comments/2cj...</td>\n",
-       "      <td>2014-08-04 00:00:23</td>\n",
-       "      <td>Nicopip</td>\n",
-       "      <td>2cjj2a</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Do beautiful people have low entropy?</td>\n",
+       "      <td>/r/AskReddit/comments/15qzd3/do_beautiful_peop...</td>\n",
+       "      <td>I have been reading about entropy and arrows o...</td>\n",
+       "      <td>http://www.reddit.com/r/AskReddit/comments/15q...</td>\n",
+       "      <td>2013-01-01 00:00:53+00:00</td>\n",
+       "      <td>[deleted]</td>\n",
+       "      <td>15qzd3</td>\n",
        "      <td>0</td>\n",
-       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2013-01-01</td>\n",
+       "      <td>00:00:53</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>3293633 rows × 11 columns</p>\n",
+       "<p>3272 rows × 13 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "         score  num_comments  \\\n",
-       "0            2             4   \n",
-       "1            5            24   \n",
-       "2            1             5   \n",
-       "3            0            18   \n",
-       "4           11            29   \n",
-       "...        ...           ...   \n",
-       "3293628      1             1   \n",
-       "3293629      2             0   \n",
-       "3293630      0            11   \n",
-       "3293631   1452          3140   \n",
-       "3293632      2             9   \n",
+       "      score  num_comments                                              title  \\\n",
+       "0         2             4  Reddit, if someone had to describe you to a st...   \n",
+       "1         5            24  What kind of car does the average \\nRedditor d...   \n",
+       "2         1             5  What movies have made you go back to the theat...   \n",
+       "3         0            18                                     Worst fear(s)?   \n",
+       "4        11            29  If there was a type of ink that lasted only fo...   \n",
+       "...     ...           ...                                                ...   \n",
+       "3267      0            11  Smokers of Reddit- What are your reasons for s...   \n",
+       "3268      1             4                                                 Hi   \n",
+       "3269      1             2  At the stroke of midnight I was writing this p...   \n",
+       "3270      1             2  With all the rape stories in the news, why don...   \n",
+       "3271      0             3              Do beautiful people have low entropy?   \n",
        "\n",
-       "                                                     title  \\\n",
-       "0        Reddit, if someone had to describe you to a st...   \n",
-       "1        What kind of car does the average \\nRedditor d...   \n",
-       "2        What movies have made you go back to the theat...   \n",
-       "3                                           Worst fear(s)?   \n",
-       "4        If there was a type of ink that lasted only fo...   \n",
-       "...                                                    ...   \n",
-       "3293628              Help me get an idea of cost of living   \n",
-       "3293629  If you used a prism to separate light and then...   \n",
-       "3293630  Reddit, what was it like the first time you go...   \n",
-       "3293631  People who refuse to be organ donors, why do y...   \n",
-       "3293632        What always happens when you travel abroad?   \n",
+       "                                              permalink  \\\n",
+       "0     /r/AskReddit/comments/15sn6y/reddit_if_someone...   \n",
+       "1     /r/AskReddit/comments/15sn6m/what_kind_of_car_...   \n",
+       "2     /r/AskReddit/comments/15sn6b/what_movies_have_...   \n",
+       "3             /r/AskReddit/comments/15sn4u/worst_fears/   \n",
+       "4     /r/AskReddit/comments/15sn44/if_there_was_a_ty...   \n",
+       "...                                                 ...   \n",
+       "3267  /r/AskReddit/comments/15qzen/smokers_of_reddit...   \n",
+       "3268                   /r/AskReddit/comments/15qzei/hi/   \n",
+       "3269  /r/AskReddit/comments/15qzdx/at_the_stroke_of_...   \n",
+       "3270  /r/AskReddit/comments/15qzdc/with_all_the_rape...   \n",
+       "3271  /r/AskReddit/comments/15qzd3/do_beautiful_peop...   \n",
        "\n",
-       "                                                 permalink  \\\n",
-       "0        /r/AskReddit/comments/15sn6y/reddit_if_someone...   \n",
-       "1        /r/AskReddit/comments/15sn6m/what_kind_of_car_...   \n",
-       "2        /r/AskReddit/comments/15sn6b/what_movies_have_...   \n",
-       "3                /r/AskReddit/comments/15sn4u/worst_fears/   \n",
-       "4        /r/AskReddit/comments/15sn44/if_there_was_a_ty...   \n",
-       "...                                                    ...   \n",
-       "3293628  /r/AskReddit/comments/2cjj63/help_me_get_an_id...   \n",
-       "3293629  /r/AskReddit/comments/2cjj5v/if_you_used_a_pri...   \n",
-       "3293630  /r/AskReddit/comments/2cjj4s/reddit_what_was_i...   \n",
-       "3293631  /r/AskReddit/comments/2cjj31/people_who_refuse...   \n",
-       "3293632  /r/AskReddit/comments/2cjj2a/what_always_happe...   \n",
+       "                                               selftext  \\\n",
+       "0     They would be talking about you without your p...   \n",
+       "1     I've always wanted to know what kind of car th...   \n",
+       "2                                                         \n",
+       "3                   So what is your worst fear, reddit?   \n",
+       "4                                                         \n",
+       "...                                                 ...   \n",
+       "3267  I'm very curious as to what causes someone to ...   \n",
+       "3268                                                      \n",
+       "3269                                                      \n",
+       "3270                                                      \n",
+       "3271  I have been reading about entropy and arrows o...   \n",
        "\n",
-       "                                                  selftext  \\\n",
-       "0        They would be talking about you without your p...   \n",
-       "1        I've always wanted to know what kind of car th...   \n",
-       "2                                                            \n",
-       "3                      So what is your worst fear, reddit?   \n",
-       "4                                                            \n",
-       "...                                                    ...   \n",
-       "3293628                                                      \n",
-       "3293629                                                      \n",
-       "3293630                                                      \n",
-       "3293631                                     R.I.P my inbox   \n",
-       "3293632                                                      \n",
+       "                                                    url  \\\n",
+       "0     http://www.reddit.com/r/AskReddit/comments/15s...   \n",
+       "1     http://www.reddit.com/r/AskReddit/comments/15s...   \n",
+       "2     http://www.reddit.com/r/AskReddit/comments/15s...   \n",
+       "3     http://www.reddit.com/r/AskReddit/comments/15s...   \n",
+       "4     http://www.reddit.com/r/AskReddit/comments/15s...   \n",
+       "...                                                 ...   \n",
+       "3267  http://www.reddit.com/r/AskReddit/comments/15q...   \n",
+       "3268  http://www.reddit.com/r/AskReddit/comments/15q...   \n",
+       "3269  http://www.reddit.com/r/AskReddit/comments/15q...   \n",
+       "3270  http://www.reddit.com/r/AskReddit/comments/15q...   \n",
+       "3271  http://www.reddit.com/r/AskReddit/comments/15q...   \n",
        "\n",
-       "                                                       url  \\\n",
-       "0        http://www.reddit.com/r/AskReddit/comments/15s...   \n",
-       "1        http://www.reddit.com/r/AskReddit/comments/15s...   \n",
-       "2        http://www.reddit.com/r/AskReddit/comments/15s...   \n",
-       "3        http://www.reddit.com/r/AskReddit/comments/15s...   \n",
-       "4        http://www.reddit.com/r/AskReddit/comments/15s...   \n",
-       "...                                                    ...   \n",
-       "3293628  http://www.reddit.com/r/AskReddit/comments/2cj...   \n",
-       "3293629  http://www.reddit.com/r/AskReddit/comments/2cj...   \n",
-       "3293630  http://www.reddit.com/r/AskReddit/comments/2cj...   \n",
-       "3293631  http://www.reddit.com/r/AskReddit/comments/2cj...   \n",
-       "3293632  http://www.reddit.com/r/AskReddit/comments/2cj...   \n",
+       "                   created_utc            author      id  downs  ups  \\\n",
+       "0    2013-01-01 23:59:40+00:00         [deleted]  15sn6y      0    2   \n",
+       "1    2013-01-01 23:59:31+00:00       PaytonAdams  15sn6m      0    5   \n",
+       "2    2013-01-01 23:59:20+00:00         [deleted]  15sn6b      0    1   \n",
+       "3    2013-01-01 23:58:37+00:00         [deleted]  15sn4u      0    0   \n",
+       "4    2013-01-01 23:58:15+00:00        Honeybeard  15sn44      0   11   \n",
+       "...                        ...               ...     ...    ...  ...   \n",
+       "3267 2013-01-01 00:01:36+00:00           kelsofb  15qzen      0    0   \n",
+       "3268 2013-01-01 00:01:34+00:00           ImJE5US  15qzei      0    1   \n",
+       "3269 2013-01-01 00:01:15+00:00  Sangfroid_Sonder  15qzdx      0    1   \n",
+       "3270 2013-01-01 00:00:58+00:00         [deleted]  15qzdc      0    1   \n",
+       "3271 2013-01-01 00:00:53+00:00         [deleted]  15qzd3      0    0   \n",
        "\n",
-       "                 created_utc         author      id  downs   ups  \n",
-       "0        2013-01-01 23:59:40      [deleted]  15sn6y      0     2  \n",
-       "1        2013-01-01 23:59:31    PaytonAdams  15sn6m      0     5  \n",
-       "2        2013-01-01 23:59:20      [deleted]  15sn6b      0     1  \n",
-       "3        2013-01-01 23:58:37      [deleted]  15sn4u      0     0  \n",
-       "4        2013-01-01 23:58:15     Honeybeard  15sn44      0    11  \n",
-       "...                      ...            ...     ...    ...   ...  \n",
-       "3293628  2014-08-04 00:01:20      bbent4698  2cjj63      0     1  \n",
-       "3293629  2014-08-04 00:01:19        Ajmb_88  2cjj5v      0     2  \n",
-       "3293630  2014-08-04 00:01:01       da-gonzo  2cjj4s      0     0  \n",
-       "3293631  2014-08-04 00:00:36  JohnnySniperr  2cjj31      0  1452  \n",
-       "3293632  2014-08-04 00:00:23        Nicopip  2cjj2a      0     2  \n",
+       "            date      time  \n",
+       "0     2013-01-01  23:59:40  \n",
+       "1     2013-01-01  23:59:31  \n",
+       "2     2013-01-01  23:59:20  \n",
+       "3     2013-01-01  23:58:37  \n",
+       "4     2013-01-01  23:58:15  \n",
+       "...          ...       ...  \n",
+       "3267  2013-01-01  00:01:36  \n",
+       "3268  2013-01-01  00:01:34  \n",
+       "3269  2013-01-01  00:01:15  \n",
+       "3270  2013-01-01  00:00:58  \n",
+       "3271  2013-01-01  00:00:53  \n",
        "\n",
-       "[3293633 rows x 11 columns]"
+       "[3272 rows x 13 columns]"
       ]
      },
-     "execution_count": 12,
+     "execution_count": 29,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -418,7 +470,7 @@
   {
    "cell_type": "code",
    "execution_count": 16,
-   "id": "b5bbfa15",
+   "id": "28df4b06",
    "metadata": {},
    "outputs": [
     {
@@ -450,7 +502,7 @@
   {
    "cell_type": "code",
    "execution_count": 18,
-   "id": "c4292c7c",
+   "id": "e322b6c0",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -460,7 +512,7 @@
   {
    "cell_type": "code",
    "execution_count": 21,
-   "id": "5a516c19",
+   "id": "ed1b06c3",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -471,8 +523,40 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
-   "id": "22d87986",
+   "execution_count": 33,
+   "id": "ff477737",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "2013-01-01    3272\n",
+       "Name: date, dtype: int64"
+      ]
+     },
+     "execution_count": 33,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.date.value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "id": "1d11b967",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "new_df = df.drop_duplicates(subset=['id'], keep=\"first\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "id": "eec00dd6",
    "metadata": {},
    "outputs": [
     {
@@ -481,13 +565,13 @@
        "<Axes: >"
       ]
      },
-     "execution_count": 25,
+     "execution_count": 27,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -497,28 +581,16 @@
     }
    ],
    "source": [
-    "df.date.hist(bins=400)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 26,
-   "id": "19d6539b",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "new_df = df.drop_duplicates(subset=['id'], keep=\"first\")"
+    "new_df.date.hist(bins=400)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "466cd2c7",
+   "id": "1acf60dc",
    "metadata": {},
    "outputs": [],
-   "source": [
-    "new_df.date.hist(bins-)"
-   ]
+   "source": []
   }
  ],
  "metadata": {

utilities/readme_update.py

@@ -0,0 +1,48 @@
+import os
+
+from datasets.download.download_config import DownloadConfig
+from datasets.utils.file_utils import cached_path
+from datasets.utils.hub import hf_hub_url
+
+
+def get_readme_path(dataset_name):
+    readme_path = hf_hub_url(dataset_name, "README.md")
+    return cached_path(readme_path, download_config=DownloadConfig())
+
+
+def update_readme(dataset_name, subreddit, date_to_fetch):
+    path = get_readme_path(dataset_name=dataset_name)
+    readme_text = f"""
+    # Dataset Name
+    {dataset_name}
+
+    ## Update Frequency
+    The dataset is updated daily and covers the period from `{os.environ["START_DATE"]}` to {date_to_fetch}
+
+    ## Dataset Overview
+    The goal is to have an open dataset of `{subreddit}` submissions. This has been taken from the Pushshift API.
+
+    ## Data Collection
+    This has been collected with sequential calls that follow the pagination of the pushshift request. 
+
+    ## Attribution
+    Data sourced from the Pushshift API.
+    """
+
+    append_readme(path=path, readme_text=readme_text)
+    return readme_text
+
+
+def append_readme(path, readme_text):
+    generated_below_marker = "--- Generated Below ---"
+    with open(path, "r") as file:
+        content = file.read()
+
+    if generated_below_marker in content:
+        index = content.index(generated_below_marker) + len(generated_below_marker)
+        content = content[:index] + "\n" + readme_text + "\n" + content[index:]
+    else:
+        content += "\n" + generated_below_marker + "\n" + readme_text + "\n"
+
+    with open(path, "w") as file:
+        file.write(content)