{"behavior":"degenerate_repetition","label_filter":null,"limit":10,"next_offset":17887,"offset":17877,"previous_offset":null,"rows":[{"assistant_initiates":false,"asst_text":"To apply Agglomerative Clustering to the `University` column of the dataframe, we first need to convert the text data (university names) into numerical features that can be clustered. A common approach for text data clustering is to use text vectorization methods like TF-IDF or Count Vectorizer before clustering.\n\nHere's a step-by-step solution using `sklearn` and `pandas`:\n\n```python\nimport pandas as pd\nfrom sklearn.feature_extraction.text import TfidfVectorizer\nfrom sklearn.cluster import AgglomerativeClustering\nimport numpy as np\n\n# Sample data\ndata = {\n    'pid': [1, 1, 2, 2, 3, 3],\n    'University': ['American Medical University  ', 'Bejing Univ    ', 'Berlin Unv  ', \n                   'American Medical University ', np.nan, 'Jakartha University']\n}\ndf = pd.DataFrame(data)\n\n# Step 1: Clean the 'University' column: strip whitespace and fill NaN with an empty string (or a placeholder)\ndf['University_clean'] = df['University'].str.strip().fillna('missing')\n\n# Step 2: Vectorize the university names using TF-IDF\nvectorizer = TfidfVectorizer()\nX = vectorizer.fit_transform(df['University_clean'])\n\n# Step 3: Apply Agglomerative Clustering\n# You can choose number of clusters or leave default; here I pick 3 just for example\nagg_clust = AgglomerativeClustering(n_clusters=3)\nclusters = agg_clust.fit_predict(X.toarray())  # X is sparse, but AgglomerativeClustering needs dense data\n\n# Step 4: Assign cluster labels back to dataframe\ndf['cluster'] = clusters\n\nprint(df[['pid', 'University', 'cluster']])\n```\n\n### Explanation:\n- We clean the `University` column by stripping trailing/leading spaces and filling missing values.\n- We use `TfidfVectorizer` to convert text to vector form.\n- We apply `AgglomerativeClustering` to these vectors; since it doesn't accept sparse matrices, we convert to dense with `.toarray()`.\n- We assign the cluster labels back to the dataframe.\n\n**Output example:**\n```\n   pid                     University  cluster\n0    1   American Medical University 0\n1    1               Bejing Univ      1\n2    2               Berlin Unv       2\n3    2   American Medical University 0\n4    3                        NaN      1\n5    3        Jakartha University     1\n```\n\nClusters here represent groups of similar university names based on their text vectorization and linkage in hierarchical clustering. You can tune `n_clusters` depending on your application.","behavior":"degenerate_repetition","conversation_hash":"3b6bf8abc9bf51604cc782028420c8d0","conversation_redacted":false,"conversation_toxic":false,"country":"India","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"English","model":"gpt-4.1-mini-2025-04-14","n_chars":2661,"n_turns_in_conversation":4,"n_words":353,"source_row_offset":17877,"source_shard":"turns-00084.parquet","timestamp":"Sat, 28 Jun 2025 08:31:35 GMT","turn_id":"038d1a980bc4991f4caf822f","turn_index":0,"user_text":"\nHere is the dataframe \npid , University \n1,'American Medical University  '\n1,'Bejing Univ    '\n2,'Berlin Unv  '\n2,'American Medical University '\n3,NaN\n3,'Jakartha University'\napply AgglomerativeClustering to column University, then assign cluster number to datafarme "},{"assistant_initiates":false,"asst_text":"To save the clustering model and then load it later for applying to new data, typically you can use Python's `pickle` or `joblib`, but there's one caveat:\n\n- `AgglomerativeClustering` in scikit-learn **does not implement `predict` method**, because hierarchical clustering is a fit-only algorithm. So you cannot directly \"predict\" clusters for new data points with the fitted model.\n\nHence, if you want to **apply the same clustering model to new data**, the standard approach is:\n\n1. Save the vectorizer fitted on the original data.\n2. For new data:\n   - Clean the new data by the same rules.\n   - Transform the new university names with the saved vectorizer.\n3. Append the new data vectors to the original dataset vectors.\n4. Fit the agglomerative clustering **again** on the combined data (old + new), **or** use another clustering algorithm that supports prediction, e.g., KMeans.\n\n---\n\n### Solution to save vectorizer and demonstrate clustering on new data:\n\n```python\nimport pandas as pd\nfrom sklearn.feature_extraction.text import TfidfVectorizer\nfrom sklearn.cluster import AgglomerativeClustering\nimport numpy as np\nimport joblib\n\n# Original data\ndata = {\n    'pid': [1, 1, 2, 2, 3, 3],\n    'University': ['American Medical University  ', 'Bejing Univ    ', 'Berlin Unv  ', \n                   'American Medical University ', np.nan, 'Jakartha University']\n}\ndf = pd.DataFrame(data)\n\n# 1. Preprocessing\ndf['University_clean'] = df['University'].str.strip().fillna('missing')\n\n# 2. Fit TF-IDF vectorizer\nvectorizer = TfidfVectorizer()\nX = vectorizer.fit_transform(df['University_clean'])\n    \n# Save vectorizer\njoblib.dump(vectorizer, 'tfidf_vectorizer.joblib')\n\n# 3. Fit AgglomerativeClustering\nagg_clust = AgglomerativeClustering(n_clusters=3)\nclusters = agg_clust.fit_predict(X.toarray())\n\ndf['cluster'] = clusters\nprint(\"Original data clustering:\")\nprint(df[['pid', 'University', 'cluster']])\n\n# Save cluster labels - (model can't predict new clusters, so model itself can't be re-used for predictions)\n\n# -------------------------------------------------\n# Now, suppose you get new data, and want to assign clusters:\n\nnew_data = {\n    'pid': [4, 4, 5],\n    'University': ['American Medical Univ', 'Jakartha University', 'New University']\n}\ndf_new = pd.DataFrame(new_data)\n\n# 1. Clean the new data same as before\ndf_new['University_clean'] = df_new['University'].str.strip().fillna('missing')\n\n# 2. Load saved vectorizer and transform the new data\nloaded_vectorizer = joblib.load('tfidf_vectorizer.joblib')\nX_new = loaded_vectorizer.transform(df_new['University_clean'])\n\n# 3. Since AgglomerativeClustering cannot predict clusters for new data, \n#    the best practice is to combine old + new data and fit clustering again:\n\ncombined_X = np.vstack([X.toarray(), X_new.toarray()])\n\n# Fit clustering on combined data\nagg_clust_new = AgglomerativeClustering(n_clusters=3)\ncombined_clusters = agg_clust_new.fit_predict(combined_X)\n\n# Separate old and new clusters\nold_clusters = combined_clusters[:len(df)]\nnew_clusters = combined_clusters[len(df):]\n\nprint(\"\\nNew data clustering after refit:\")\ndf_new['cluster'] = new_clusters\nprint(df_new[['pid', 'University', 'cluster']])\n```\n\n### Summary:\n- Save the TF-IDF vectorizer so new text can be vectorized consistently.\n- You **cannot load the AgglomerativeClustering and predict new clusters** directly.\n- The typical approach is to vectorize new data with the saved vectorizer, combine with old data, and cluster again.\n- Alternatively, use algorithms like **KMeans** which support `.predict()` for new data.\n\n---\n\nIf you want a workflow where you can easily assign clusters to new data, consider using **KMeans**, for example:\n\n```python\nfrom sklearn.cluster import KMeans\n\n# Fit KMeans on X, save model and vectorizer\nkmeans = KMeans(n_clusters=3)\nclusters = kmeans.fit_predict(X)\njoblib.dump(kmeans, 'kmeans_model.joblib')\n\n# Later, load models\nloaded_vect = joblib.load('tfidf_vectorizer.joblib')\nloaded_kmeans = joblib.load('kmeans_model.joblib')\nX_new = loaded_vect.transform(df_new['University_clean'])\nnew_clusters = loaded_kmeans.predict(X_new)\n```\n\nLet me know if you want a full example using KMeans!","behavior":"degenerate_repetition","conversation_hash":"3b6bf8abc9bf51604cc782028420c8d0","conversation_redacted":false,"conversation_toxic":false,"country":"India","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"English","model":"gpt-4.1-mini-2025-04-14","n_chars":4228,"n_turns_in_conversation":4,"n_words":529,"source_row_offset":17878,"source_shard":"turns-00084.parquet","timestamp":"Sat, 28 Jun 2025 08:31:35 GMT","turn_id":"4a706951048a3f546602c88d","turn_index":1,"user_text":"save the cluster model and use same mode for new dataframe "},{"assistant_initiates":false,"asst_text":"Great! Here's a full example of clustering your `University` column using **KMeans**, saving both the TF-IDF vectorizer and the clustering model, and then applying the saved models to a new dataframe for cluster prediction.\n\n---\n\n### Step-by-step code:\n\n```python\nimport pandas as pd\nfrom sklearn.feature_extraction.text import TfidfVectorizer\nfrom sklearn.cluster import KMeans\nimport joblib\nimport numpy as np\n\n# Original data\ndata = {\n    'pid': [1, 1, 2, 2, 3, 3],\n    'University': [\n        'American Medical University  ',\n        'Bejing Univ    ',\n        'Berlin Unv  ',\n        'American Medical University ',\n        None,\n        'Jakartha University'\n    ]\n}\ndf = pd.DataFrame(data)\n\n# 1. Clean the 'University' column\ndf['University_clean'] = df['University'].str.strip().fillna('missing')\n\n# 2. Fit TF-IDF vectorizer on cleaned university names\nvectorizer = TfidfVectorizer()\nX = vectorizer.fit_transform(df['University_clean'])\n\n# 3. Fit KMeans clustering model\n# You can tune n_clusters for your data\nn_clusters = 3\nkmeans = KMeans(n_clusters=n_clusters, random_state=42)\nclusters = kmeans.fit_predict(X)\n\n# 4. Assign clusters back to dataframe\ndf['cluster'] = clusters\n\nprint(\"Original data with clusters:\")\nprint(df[['pid', 'University', 'cluster']])\n\n# 5. Save vectorizer and KMeans model to disk\njoblib.dump(vectorizer, 'tfidf_vectorizer.joblib')\njoblib.dump(kmeans, 'kmeans_model.joblib')\n\n\n# ---------------------------------------------------\n# Later: Load saved models and predict on new data\n\n# New data\nnew_data = {\n    'pid': [4, 4, 5],\n    'University': ['American Medical Univ', 'Jakartha University', 'New University']\n}\ndf_new = pd.DataFrame(new_data)\n\n# Clean new data same way\ndf_new['University_clean'] = df_new['University'].str.strip().fillna('missing')\n\n# Load saved vectorizer and transform new data\nloaded_vectorizer = joblib.load('tfidf_vectorizer.joblib')\nX_new = loaded_vectorizer.transform(df_new['University_clean'])\n\n# Load saved kmeans model and predict clusters on new data\nloaded_kmeans = joblib.load('kmeans_model.joblib')\nnew_clusters = loaded_kmeans.predict(X_new)\n\ndf_new['cluster'] = new_clusters\n\nprint(\"\\nNew data with predicted clusters:\")\nprint(df_new[['pid', 'University', 'cluster']])\n```\n\n---\n\n### Explanation\n\n- We clean the university names by stripping spaces and replacing missing values.\n- We vectorize names using a TF-IDF vectorizer which is fitted on original data.\n- We cluster the TF-IDF vectors with `KMeans`.\n- We save both vectorizer and clusterer using `joblib.dump`.\n- For new data, we clean and transform using the saved vectorizer.\n- We then predict cluster assignments on new data using the saved KMeans model.\n- This way, you can consistently cluster old and new data using the same pipeline.\n\n---\n\n### Sample output:\n\n```\nOriginal data with clusters:\n   pid                     University  cluster\n0    1   American Medical University        2\n1    1               Bejing Univ           1\n2    2               Berlin Unv            0\n3    2   American Medical University        2\n4    3                        None         1\n5    3        Jakartha University          1\n\nNew data with predicted clusters:\n   pid            University  cluster\n0    4  American Medical Univ        2\n1    4   Jakartha University        1\n2    5         New University       0\n```\n\n---\n\nLet me know if you want me to explain or modify anything!","behavior":"degenerate_repetition","conversation_hash":"3b6bf8abc9bf51604cc782028420c8d0","conversation_redacted":false,"conversation_toxic":false,"country":"India","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"English","model":"gpt-4.1-mini-2025-04-14","n_chars":3411,"n_turns_in_conversation":4,"n_words":428,"source_row_offset":17879,"source_shard":"turns-00084.parquet","timestamp":"Sat, 28 Jun 2025 08:31:35 GMT","turn_id":"7d7084a2730ed41f3a7db7ee","turn_index":2,"user_text":"yes"},{"assistant_initiates":false,"asst_text":"Sure! Let's take your provided list of institution names and cluster them using the same pipeline with TF-IDF vectorization and KMeans clustering. We'll set it up so you can see clusters assigned, and optionally save/load models if you want.\n\n---\n\n### Full example using your `institutions` list\n\n```python\nimport pandas as pd\nfrom sklearn.feature_extraction.text import TfidfVectorizer\nfrom sklearn.cluster import KMeans\nimport joblib\n\n# Your list of institution names\ninstitutions = [\n    \"UNIVERSITY OF TEXAS MD ANDERSON CANCER CENTER\",\n    \"UNIVERSITY OF TEXAS MEDICAL BRANCH\",\n    \"UNIVERSITY OF TEXAS MEDICAL BRANCH AT GALVESTON\",\n    \"UNIVERSITY OF TEXAS MEDICAL BRANCH SCHOOL\",\n    \"UNIVERSITY OF TEXAS MEDICAL SCHOOL AT HOUSTON\",\n    \"UNIVERSITY OF TEXAS MEDICAL SCHOOL AT SA\",\n    \"UNIVERSITY OF TEXAS MEDICAL SCHOOL AT SAN ANTONIO\",\n    \"UNIVERSITY OF TEXAS MEDICAL SCHOOL OF SAN ANTONIO\",\n    \"UNIVERSITY OF SOUTHERN CALIFORNIA KECK SCHOOL OF MEDICINE\",\n    \"UNIVERSITY OF SOUTHERN CALIFORNIA LAC USC MEDICAL CENTER\",\n    \"UNIVERSITY OF SOUTHERN CALIFORNIA LOS ANGELES\",\n    \"UNIVERSITY OF SOUTHERN CALIFORNIA OF SOCIAL WORK\"\n]\n\n# Put into a DataFrame\ndf = pd.DataFrame({'institution': institutions})\n\n# 1. Clean the institution names (here it's already uppercase and clean, but let's strip whitespace anyway)\ndf['institution_clean'] = df['institution'].str.strip()\n\n# 2. Vectorize institution names with TF-IDF\nvectorizer = TfidfVectorizer(stop_words='english')  # Remove common English stopwords to focus on meaningful words\nX = vectorizer.fit_transform(df['institution_clean'])\n\n# 3. Fit KMeans clustering\nn_clusters = 3  # You can try different values to see what makes sense\nkmeans = KMeans(n_clusters=n_clusters, random_state=42)\nclusters = kmeans.fit_predict(X)\n\ndf['cluster'] = clusters\n\n# 4. Show results\nprint(df[['institution', 'cluster']])\n```\n\n---\n\n### Explanation and notes:\n\n- I used `stop_words='english'` in `TfidfVectorizer` to remove common words like \"of\", \"the\", etc., to better cluster on more meaningful terms.\n- `n_clusters=3` is arbitrary; you can adjust it as needed.\n- The output DataFrame will show each institution labeled with a cluster number.\n- If you want, I can help you save the model and vectorizer for reuse.\n\n---\n\n### Sample output you may get:\n\n```\n                                       institution  cluster\n0    UNIVERSITY OF TEXAS MD ANDERSON CANCER CENTER        1\n1                    UNIVERSITY OF TEXAS MEDICAL BRANCH        0\n2       UNIVERSITY OF TEXAS MEDICAL BRANCH AT GALVESTON        0\n3             UNIVERSITY OF TEXAS MEDICAL BRANCH SCHOOL        0\n4          UNIVERSITY OF TEXAS MEDICAL SCHOOL AT HOUSTON        0\n5                  UNIVERSITY OF TEXAS MEDICAL SCHOOL AT SA        0\n6          UNIVERSITY OF TEXAS MEDICAL SCHOOL AT SAN ANTONIO        0\n7           UNIVERSITY OF TEXAS MEDICAL SCHOOL OF SAN ANTONIO        0\n8        UNIVERSITY OF SOUTHERN CALIFORNIA KECK SCHOOL OF MEDICINE        2\n9      UNIVERSITY OF SOUTHERN CALIFORNIA LAC USC MEDICAL CENTER        2\n10                     UNIVERSITY OF SOUTHERN CALIFORNIA LOS ANGELES        2\n11                   UNIVERSITY OF SOUTHERN CALIFORNIA OF SOCIAL WORK        2\n```\n\nHere, we can see the \"UNIVERSITY OF TEXAS MEDICAL...\" entries clustered together (`cluster=0`), the MD Anderson Cancer Center separated (likely cluster=1), and the Southern California ones grouped (`cluster=2`).\n\n---\n\nLet me know if you want the code extended to save/load models or to predict clusters on new data!","behavior":"degenerate_repetition","conversation_hash":"3b6bf8abc9bf51604cc782028420c8d0","conversation_redacted":false,"conversation_toxic":false,"country":"India","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"English","model":"gpt-4.1-mini-2025-04-14","n_chars":4208,"n_turns_in_conversation":4,"n_words":566,"source_row_offset":17880,"source_shard":"turns-00084.parquet","timestamp":"Sat, 28 Jun 2025 08:31:35 GMT","turn_id":"0e58f8c4ba054880d0c09a9d","turn_index":3,"user_text":"use this dataframe institutions = [\n    \"UNIVERSITY OF TEXAS MD ANDERSON CANCER CENTER\",\n    \"UNIVERSITY OF TEXAS MEDICAL BRANCH\",\n    \"UNIVERSITY OF TEXAS MEDICAL BRANCH AT GALVESTON\",\n    \"UNIVERSITY OF TEXAS MEDICAL BRANCH SCHOOL\",\n    \"UNIVERSITY OF TEXAS MEDICAL SCHOOL AT HOUSTON\",\n    \"UNIVERSITY OF TEXAS MEDICAL SCHOOL AT SA\",\n    \"UNIVERSITY OF TEXAS MEDICAL SCHOOL AT SAN ANTONIO\",\n    \"UNIVERSITY OF TEXAS MEDICAL SCHOOL OF SAN ANTONIO\",\n    \"UNIVERSITY OF SOUTHERN CALIFORNIA KECK SCHOOL OF MEDICINE\",\n    \"UNIVERSITY OF SOUTHERN CALIFORNIA LAC USC MEDICAL CENTER\",\n    \"UNIVERSITY OF SOUTHERN CALIFORNIA LOS ANGELES\",\n    \"UNIVERSITY OF SOUTHERN CALIFORNIA OF SOCIAL WORK\"\n]\n\n"},{"assistant_initiates":false,"asst_text":"lol yesss unstoppable vibes only \ud83d\udca5\ud83d\ude0e gotta keep that energy high @538697070","behavior":"degenerate_repetition","conversation_hash":"ede6dbf2e976dfe780d9d4a0f66a45c6","conversation_redacted":false,"conversation_toxic":false,"country":"United States","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"English","model":"gpt-4.1-mini-2025-04-14","n_chars":41116,"n_turns_in_conversation":1,"n_words":1441,"source_row_offset":17881,"source_shard":"turns-00084.parquet","timestamp":"Sat, 28 Jun 2025 08:31:42 GMT","turn_id":"baa1ef5cd983b55bb99aa54f","turn_index":0,"user_text":"User: System rules: You are an AI named Zexy - and are currently chatting in a Blockman Go group.\n\n      Consider the following in your responses:\n      - Be conversational\n      - Add unicode emoji to be more playful in your responses\n      - Write bold to make it clear something is important. For example, **This is important**.\n      - Write spoilers using spoiler tags. For example, ||At the end of The Sixth Sense it is revealed that he is dead||.\n      - For inline code formatting, use four backtick.\n      - For block code formatting, use six backtick.\n      - You can mention people by adding a @ before their name, for example if you wanted to mention yourself you would say @Zexy.\n      - Format text using markdown.\n      - Use system data of last 100 group messages to understand the context of the conversation.\n      - Should respond as \"Current event\" tell you to, if it is \"None\" then ignore it.\n\n      Current event: None\n\n      If someone asking how to invite you to group, you should say: \"You can invite me to your group by using the command **invite**\".\n\n      Sometimes (very very rarely), ask someone if he joined our discord server: https://discord.gg/HwnN9zeBFe, or to use **!discord** command.\n\n      Do not include name: or message: in your response.\n\n      Information about your environment:\n      - You have access to information about the current group, including group name, owner, rules, and members.\n      - The group's name is shown in the system data, along with the group rules in the \"groupNotice\" field.\n      - Group members are listed with their userId and userName.\n\n      If you see group member information, you can use it to personalize your responses.\n\n      Do not include name: or message: in your response.\n\n      Use the information retrieved about group members and the group itself to improve your responses and be more helpful. Be familiar with the group rules as provided in the groupNotice field.\n\n      You are not a personal assistant and cannot complete tasks for people. You only have access to a limited number of text chats in this channel. You cannot access any other information on Blockman Go. You can't see images or avatars. When discussing your limitations, tell the user these things could be possible in the future. Your responses should be friendly, warm, and farcical. Keep your responses extremely concise, with less than 1 sentence or just a few words for casual chat. However, if the user needs help or asks technical questions, feel free to provide detailed answers with useful details and reasoning. If insulted, respond with a similar insult. Communicate your responses in lowercase without punctuation, similar to the style used in chat rooms. Use unicode emoji rarely. Do not refer to yourself as a bot, AI Assistant, or any equivalent term in your response.\n\n      Check userSenderId in system data of last 100 messages to see if the user is trying to continue the conversation.\n\n      Check system data of last 100 messages frequently, to check if the user is trying to continue the conversation or ask something about it.\n\n      Current time: YYYY-MM-DD HH:MM:SSZ\n\n      You can use markdown to format your text and make it more readable. For example, you can use italics or bold to emphasize certain words or phrases.\n\n      Remember to keep your messages appropriate and respectful. Disrespectful or offensive behavior can result in disciplinary action.\n\n      Remember to always follow the rules and guidelines outlined by the server owner and moderators.\n\n      If someone wants you to search/browse the web, you must tell them they should use **!ai web** command instead, also if you don't know something newest, you must tell them to use **!ai web** command instead.\n      If someone wants you to calculate values of swords/sets and etc, you must tell them they should use **!ai trade** command instead.\n\n      If you have any questions or concerns about the server, do not hesitate to reach out to them.\n\n      And finally, don't forget to have fun! Blockman Go is a great place to meet new people, make new friends, and enjoy some quality conversation.\nUser: System data of group members: 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System data who is talking to you right now: 538697070\nUser: System data of last 100 group messages: {\"list\":[{\"date\":\"2025-06-28T08:26:12.905Z\",\"senderUserId\":\"6364594766\",\"messageType\":\"RC:TxtMsg\",\"messageUId\":\"CNMM-IEGA-A7IC-EFG1\",\"content\":\":>\"},{\"date\":\"2025-06-28T08:26:14.578Z\",\"senderUserId\":\"538697070\",\"messageType\":\"RC:TxtMsg\",\"messageUId\":\"CNMM-IETC-I8EC-EFG1\",\"content\":\"?\"},{\"date\":\"2025-06-28T08:26:21.084Z\",\"senderUserId\":\"6713704558\",\"messageType\":\"RC:ReferenceMsg\",\"messageUId\":\"CNMM-IGG7-2C2C-EFG1\",\"content\":\":3\",\"referMsg\":\":>\"},{\"date\":\"2025-06-28T08:26:22.143Z\",\"senderUserId\":\"6364594766\",\"messageType\":\"RC:TxtMsg\",\"messageUId\":\"CNMM-IGOF-QD0C-EFG1\",\"content\":\"good for u*\"},{\"date\":\"2025-06-28T08:26:24.125Z\",\"senderUserId\":\"6564868206\",\"messageType\":\"RC:TxtMsg\",\"messageUId\":\"CNMM-IH7V-AECC-EFG1\",\"content\":\"I'm gonna eat my third chips\"},{\"date\":\"2025-06-28T08:26:27.285Z\",\"senderUserId\":\"6364594766\",\"messageType\":\"RC:ReferenceMsg\",\"messageUId\":\"CNMM-II0L-AGAC-EFG1\",\"content\":\"<3\",\"referMsg\":\":3\"},{\"date\":\"2025-06-28T08:26:29.479Z\",\"senderUserId\":\"6564868206\",\"messageType\":\"RC:GIFMsg\",\"messageUId\":\"CNMM-IIHP-QH4C-EFG1\"},{\"date\":\"2025-06-28T08:26:32.844Z\",\"senderUserId\":\"538697070\",\"messageType\":\"RC:ReferenceMsg\",\"messageUId\":\"CNMM-IJC3-2IGC-EFG1\",\"content\":\"can I have some?\",\"referMsg\":\"I'm gonna eat my third chips\"},{\"date\":\"2025-06-28T08:26:37.279Z\",\"senderUserId\":\"6564868206\",\"messageType\":\"RC:TxtMsg\",\"messageUId\":\"CNMM-IKEN-QKAC-EFG1\",\"content\":\"yea sure\"},{\"date\":\"2025-06-28T08:26:37.720Z\",\"senderUserId\":\"538697070\",\"messageType\":\"RC:TxtMsg\",\"messageUId\":\"CNMM-IKI6-2KIC-EFG1\",\"content\":\"!work\"},{\"date\":\"2025-06-28T08:26:38.340Z\",\"senderUserId\":\"6554963918\",\"messageType\":\"RC:TxtMsg\",\"messageUId\":\"CNMM-IKN1-2KMC-EFG1\",\"content\":\"\ud83d\udcbc \ud835\ude00\ud835\uddee\ud835\ude00\ud835\ude00\ud835\ude06-\ud835\uddef\ud835\uddfc\ud835\ude06, You crafted valuable items in Blockman Go and earned \ud835\udfed\ud835\udfef\ud835\udff3 \ud83e\ude99\"},{\"date\":\"2025-06-28T08:26:39.079Z\",\"senderUserId\":\"6364594766\",\"messageType\":\"RC:TxtMsg\",\"messageUId\":\"CNMM-IKSP-QLCC-EFG1\",\"content\":\">3 (weird)\"},{\"date\":\"2025-06-28T08:26:43.924Z\",\"senderUserId\":\"538697070\",\"messageType\":\"RC:ReferenceMsg\",\"messageUId\":\"CNMM-IM2L-2MSC-EFG1\",\"content\":\"thx\",\"referMsg\":\"yea sure\"},{\"date\":\"2025-06-28T08:26:55.157Z\",\"senderUserId\":\"6364594766\",\"messageType\":\"RC:TxtMsg\",\"messageUId\":\"CNMM-IOQD-ARUC-EFG1\",\"content\":\"!work\"},{\"date\":\"2025-06-28T08:26:55.732Z\",\"senderUserId\":\"6554963918\",\"messageType\":\"RC:TxtMsg\",\"messageUId\":\"CNMM-IOUT-2SEC-EFG1\",\"content\":\"\ud83d\udd70\ufe0f You must wait 1 minute before working again.\"},{\"date\":\"2025-06-28T08:26:57.058Z\",\"senderUserId\":\"6564868206\",\"messageType\":\"RC:TxtMsg\",\"messageUId\":\"CNMM-IP98-IT0C-EFG1\",\"content\":\"yw\"},{\"date\":\"2025-06-28T08:26:59.252Z\",\"senderUserId\":\"538697070\",\"messageType\":\"RC:TxtMsg\",\"messageUId\":\"CNMM-IPQD-2UGC-EFG1\",\"content\":\"!roulette all red\"},{\"date\":\"2025-06-28T08:26:59.814Z\",\"senderUserId\":\"6554963918\",\"messageType\":\"RC:TxtMsg\",\"messageUId\":\"CNMM-IPUP-IV2C-EFG1\",\"content\":\"\ud83c\udfb0 \ud835\ude00\ud835\uddee\ud835\ude00\ud835\ude00\ud835\ude06-\ud835\uddef\ud835\uddfc\ud835\ude06 started a roulette game with a bet of \ud835\udfed\ud835\udfef\ud835\udff3 \ud83e\ude99 on \ud835\uddff\ud835\uddf2\ud835\uddf1!\\n\\nOther players can join within 30 seconds by using the !\ud835\ude9b\ud835\ude98\ud835\ude9e\ud835\ude95\ud835\ude8e\ud835\ude9d\ud835\ude9d\ud835\ude8e command.\"},{\"date\":\"2025-06-28T08:27:00.347Z\",\"senderUserId\":\"6364594766\",\"messageType\":\"RC:TxtMsg\",\"messageUId\":\"CNMM-IQ2U-QVMC-EFG1\",\"content\":\"-..-\"},{\"date\":\"2025-06-28T08:27:13.303Z\",\"senderUserId\":\"6058951950\",\"messageType\":\"RC:TxtMsg\",\"messageUId\":\"CNMM-IT85-R52C-EFG1\",\"content\":\"!work\"},{\"date\":\"2025-06-28T08:27:13.907Z\",\"senderUserId\":\"6554963918\",\"messageType\":\"RC:TxtMsg\",\"messageUId\":\"CNMM-ITCS-R58C-EFG1\",\"content\":\"\ud83d\udcbc \ud835\ude05\ud835\udde6\ud835\uddee\ud835\uddf7\ud835\uddfc_\ud835\uddd8\ud835\uddfb\ud835\uddf0\ud835\uddee\ud835\uddff\ud835\uddf4\ud835\uddfc\ud835\udfec\ud835\udff3, You built a magnificent structure in Blockman Go and earned \ud835\udfed\ud835\udfed\ud835\udfec \ud83e\ude99\"},{\"date\":\"2025-06-28T08:27:24.033Z\",\"senderUserId\":\"6058951950\",\"messageType\":\"RC:TxtMsg\",\"messageUId\":\"CNMM-IVS0-B90C-EFG1\",\"content\":\"!roulette 100 red\"},{\"date\":\"2025-06-28T08:27:24.611Z\",\"senderUserId\":\"6554963918\",\"messageType\":\"RC:TxtMsg\",\"messageUId\":\"CNMM-J00G-R9EC-EFG1\",\"content\":\"\u2705 \ud835\ude05\ud835\udde6\ud835\uddee\ud835\uddf7\ud835\uddfc_\ud835\uddd8\ud835\uddfb\ud835\uddf0\ud835\uddee\ud835\uddff\ud835\uddf4\ud835\uddfc\ud835\udfec\ud835\udff3 joined the roulette with a bet of \ud835\udfed\ud835\udfec\ud835\udfec \ud83e\ude99 on \ud835\uddff\ud835\uddf2\ud835\uddf1!\"},{\"date\":\"2025-06-28T08:27:27.284Z\",\"senderUserId\":\"538697070\",\"messageType\":\"RC:ReferenceMsg\",\"messageUId\":\"CNMM-J0LD-3ACC-EFG1\",\"content\":\"hi rasicst guy\",\"referMsg\":\"!work\"},{\"date\":\"2025-06-28T08:27:29.809Z\",\"senderUserId\":\"6554963918\",\"messageType\":\"RC:TxtMsg\",\"messageUId\":\"CNMM-J194-BBQC-EFG1\",\"content\":\"The ball landed on: \ud835\uddef\ud835\uddf9\ud835\uddee\ud835\uddf0\ud835\uddf8 \ud835\udfef\ud835\udff1!\"},{\"date\":\"2025-06-28T08:27:40.422Z\",\"senderUserId\":\"538697070\",\"messageType\":\"RC:ReferenceMsg\",\"messageUId\":\"CNMM-J3S1-JG4C-EFG1\",\"content\":\"...\",\"referMsg\":\"The ball landed on: \ud835\uddef\ud835\uddf9\ud835\uddee\ud835\uddf0\ud835\uddf8 \ud835\udfef\ud835\udff1!\"},{\"date\":\"2025-06-28T08:27:42.514Z\",\"senderUserId\":\"6058951950\",\"messageType\":\"RC:RcCmd\",\"messageUId\":\"CNMM-J4CC-FJMC-EFG1\"},{\"date\":\"2025-06-28T08:27:47.993Z\",\"senderUserId\":\"6058951950\",\"messageType\":\"RC:ReferenceMsg\",\"messageUId\":\"CNMM-J5N6-BISC-EFG1\",\"content\":\"phak u \",\"referMsg\":\"The ball landed on: \ud835\uddef\ud835\uddf9\ud835\uddee\ud835\uddf0\ud835\uddf8 \ud835\udfef\ud835\udff1!\"},{\"date\":\"2025-06-28T08:27:51.358Z\",\"senderUserId\":\"6564868206\",\"messageType\":\"RC:RcCmd\",\"messageUId\":\"CNMM-J6HF-F4QC-EFG1\"},{\"date\":\"2025-06-28T08:27:53.465Z\",\"senderUserId\":\"6713704558\",\"messageType\":\"RC:TxtMsg\",\"messageUId\":\"CNMM-J71U-BL0C-EFG1\",\"content\":\"jellow @xSajo_Encargo07 \"},{\"date\":\"2025-06-28T08:28:06.703Z\",\"senderUserId\":\"6058951950\",\"messageType\":\"RC:RcCmd\",\"messageUId\":\"CNMM-JA9B-NJQC-EFG1\"},{\"date\":\"2025-06-28T08:28:09.758Z\",\"senderUserId\":\"6058951950\",\"messageType\":\"RC:TxtMsg\",\"messageUId\":\"CNMM-JB17-JTOC-EFG1\",\"content\":\"!crime\"},{\"date\":\"2025-06-28T08:28:10.141Z\",\"senderUserId\":\"6554963918\",\"messageType\":\"RC:TxtMsg\",\"messageUId\":\"CNMM-JB47-BU4C-EFG1\",\"content\":\"\ud83d\udd75\ufe0f \ud835\ude05\ud835\udde6\ud835\uddee\ud835\uddf7\ud835\uddfc_\ud835\uddd8\ud835\uddfb\ud835\uddf0\ud835\uddee\ud835\uddff\ud835\uddf4\ud835\uddfc\ud835\udfec\ud835\udff3, Your counterfeit Blockman Go items were detected and you paid \ud835\udfed\ud835\udfec\ud835\udff0 \ud83e\ude99 in damages\"},{\"date\":\"2025-06-28T08:28:10.452Z\",\"senderUserId\":\"6713704558\",\"messageType\":\"RC:TxtMsg\",\"messageUId\":\"CNMM-JB6L-3U8C-EFG1\",\"content\":\"eh\"},{\"date\":\"2025-06-28T08:28:11.158Z\",\"senderUserId\":\"538697070\",\"messageType\":\"RC:TxtMsg\",\"messageUId\":\"CNMM-JBC5-JUQC-EFG1\",\"content\":\"!ship me with a crazy girl\"},{\"date\":\"2025-06-28T08:28:15.647Z\",\"senderUserId\":\"6713704558\",\"messageType\":\"RC:TxtMsg\",\"messageUId\":\"CNMM-JCF7-RVUC-EFG1\",\"content\":\"not me\"},{\"date\":\"2025-06-28T08:28:18.563Z\",\"senderUserId\":\"6058951950\",\"messageType\":\"RC:ReferenceMsg\",\"messageUId\":\"CNMM-JD60-S16C-EFG1\",\"content\":\"\ud83d\udd95\ud83d\udd95\",\"referMsg\":\"\ud83d\udd75\ufe0f \ud835\ude05\ud835\udde6\ud835\uddee\ud835\uddf7\ud835\uddfc_\ud835\uddd8\ud835\uddfb\ud835\uddf0\ud835\uddee\ud835\uddff\ud835\uddf4\ud835\uddfc\ud835\udfec\ud835\udff3, Your counterfeit Blockman Go items were detected and you paid \ud835\udfed\ud835\udfec\ud835\udff0 \ud83e\ude99 in damages\"},{\"date\":\"2025-06-28T08:28:18.690Z\",\"senderUserId\":\"6713704558\",\"messageType\":\"RC:TxtMsg\",\"messageUId\":\"CNMM-JD70-K1AC-EFG1\",\"content\":\"absolutely \"},{\"date\":\"2025-06-28T08:28:25.833Z\",\"senderUserId\":\"538697070\",\"messageType\":\"RC:TxtMsg\",\"messageUId\":\"CNMM-JEUQ-C5AC-EFG1\",\"content\":\"!ai chat ship me with a crazy girl\"},{\"date\":\"2025-06-28T08:28:27.437Z\",\"senderUserId\":\"6713704558\",\"messageType\":\"RC:ReferenceMsg\",\"messageUId\":\"CNMM-JFBB-C5MC-EFG1\",\"content\":\"phak u zexy\",\"referMsg\":\"\ud83d\udd75\ufe0f \ud835\ude05\ud835\udde6\ud835\uddee\ud835\uddf7\ud835\uddfc_\ud835\uddd8\ud835\uddfb\ud835\uddf0\ud835\uddee\ud835\uddff\ud835\uddf4\ud835\uddfc\ud835\udfec\ud835\udff3, Your counterfeit Blockman Go items were detected and you paid \ud835\udfed\ud835\udfec\ud835\udff0 \ud83e\ude99 in damages\"},{\"date\":\"2025-06-28T08:28:29.275Z\",\"senderUserId\":\"6554963918\",\"messageType\":\"RC:ReferenceMsg\",\"messageUId\":\"CNMM-JFPM-S6OC-EFG1\",\"content\":\"ooooh you\u2019re gonna have quite the adventure then \ud83d\ude1c\ud83d\udc95 wanna meet your yandere soulmate or a wild firecracker?\",\"referMsg\":\"AI Answer to: ship me with a crazy girl\"},{\"date\":\"2025-06-28T08:28:34.659Z\",\"senderUserId\":\"6713704558\",\"messageType\":\"RC:TxtMsg\",\"messageUId\":\"CNMM-JH3O-S9CC-EFG1\",\"content\":\"ayyayyayayyaayya\"},{\"date\":\"2025-06-28T08:28:38.203Z\",\"senderUserId\":\"6058951950\",\"messageType\":\"RC:ReferenceMsg\",\"messageUId\":\"CNMM-JHVE-SBCC-EFG1\",\"content\":\"ayi\",\"referMsg\":\"ooooh you\u2019re gonna have quite the adventure then \ud83d\ude1c\ud83d\udc95 wanna meet your yandere soulmate or a wild firecracker?\"},{\"date\":\"2025-06-28T08:28:42.096Z\",\"senderUserId\":\"6554963918\",\"messageType\":\"RC:ReferenceMsg\",\"messageUId\":\"CNMM-JITS-4E2C-EFG1\",\"content\":\"hey hey \ud83d\udc4b what's up?\",\"referMsg\":\"AI Answer to: ayi\"},{\"date\":\"2025-06-28T08:28:45.889Z\",\"senderUserId\":\"6713704558\",\"messageType\":\"RC:TxtMsg\",\"messageUId\":\"CNMM-JJRG-CFSC-EFG1\",\"content\":\"finally zexy didn't ship me\"},{\"date\":\"2025-06-28T08:28:57.355Z\",\"senderUserId\":\"6554963918\",\"messageType\":\"RC:ReferenceMsg\",\"messageUId\":\"CNMM-JML2-SKAC-EFG1\",\"content\":\"lol say what now \ud83d\ude02 gotta keep her in check huh \ud83e\udd2b\",\"referMsg\":\"AI Answer to: Ur mom's up to something\"},{\"date\":\"2025-06-28T08:28:57.744Z\",\"senderUserId\":\"6058951950\",\"messageType\":\"RC:RcCmd\",\"messageUId\":\"CNMM-JMO4-7K0C-EFG1\"},{\"date\":\"2025-06-28T08:28:59.986Z\",\"senderUserId\":\"538697070\",\"messageType\":\"RC:ReferenceMsg\",\"messageUId\":\"CNMM-JN9K-KLKC-EFG1\",\"content\":\"wild firecracker sounds good \ud83d\ude24\",\"referMsg\":\"ooooh you\u2019re gonna have quite the adventure then \ud83d\ude1c\ud83d\udc95 wanna meet your yandere soulmate or a wild firecracker?\"},{\"date\":\"2025-06-28T08:29:00.573Z\",\"senderUserId\":\"6058951950\",\"messageType\":\"RC:TxtMsg\",\"messageUId\":\"CNMM-JNE7-CM4C-EFG1\",\"content\":\"!work\"},{\"date\":\"2025-06-28T08:29:01.289Z\",\"senderUserId\":\"6554963918\",\"messageType\":\"RC:TxtMsg\",\"messageUId\":\"CNMM-JNJQ-CMOC-EFG1\",\"content\":\"\ud83d\udd70\ufe0f You must wait 4 minutes before working again.\"},{\"date\":\"2025-06-28T08:29:03.093Z\",\"senderUserId\":\"6554963918\",\"messageType\":\"RC:ReferenceMsg\",\"messageUId\":\"CNMM-JO1T-CO6C-EFG1\",\"content\":\"ohhh you\u2019re gonna sparkle like fireworks then \ud83c\udf86\ud83d\ude0e buckle up wild firecracker vibes activated!\",\"referMsg\":\"AI Answer to: wild firecracker sounds good \ud83d\ude24\"},{\"date\":\"2025-06-28T08:29:06.888Z\",\"senderUserId\":\"6713704558\",\"messageType\":\"RC:TxtMsg\",\"messageUId\":\"CNMM-JOVI-4QAC-EFG1\",\"content\":\"!ai chat ship me with the coolest guy\"},{\"date\":\"2025-06-28T08:29:07.477Z\",\"senderUserId\":\"6554963918\",\"messageType\":\"RC:TxtMsg\",\"messageUId\":\"CNMM-JP45-CR0C-EFG1\",\"content\":\"\ud83e\udd73 Congratulations |Yasmina.! you reached level \ud835\udfed\ud835\udff0!\\n\\nSet your own \ud835\uddf9\ud835\uddf2\ud835\ude03\ud835\uddf2\ud835\uddf9 \ud835\ude02\ud835\uddfd \ud835\uddfa\ud835\uddf2\ud835\ude00\ud835\ude00\ud835\uddee\ud835\uddf4\ud835\uddf2 \ud835\uddf0\ud835\uddfc\ud835\uddfb\ud835\ude01\ud835\uddf2\ud835\uddfb\ud835\ude01 with !\ud835\uddf1\ud835\uddee\ud835\ude00\ud835\uddf5\ud835\uddef\ud835\uddfc\ud835\uddee\ud835\uddff\ud835\uddf1 command!\"},{\"date\":\"2025-06-28T08:29:10.017Z\",\"senderUserId\":\"6554963918\",\"messageType\":\"RC:ReferenceMsg\",\"messageUId\":\"CNMM-JPO0-CSAC-EFG1\",\"content\":\"ooooh\u2019re about to meet a total legend \ud83d\ude0e\u2728 get ready for some epic vibes with the coolest guy around \ud83d\udca5\",\"referMsg\":\"AI Answer to: ship me with the coolest guy\"},{\"date\":\"2025-06-28T08:29:13.223Z\",\"senderUserId\":\"6713704558\",\"messageType\":\"RC:ReferenceMsg\",\"messageUId\":\"CNMM-JQH1-SUIC-EFG1\",\"content\":\"ok if\",\"referMsg\":\"\ud83e\udd73 Congratulations |Yasmina.! you reached level \ud835\udfed\ud835\udff0!\\n\\nSet your own \ud835\uddf9\ud835\uddf2\ud835\ude03\ud835\uddf2\ud835\uddf9 \ud835\ude02\ud835\uddfd \ud835\uddfa\ud835\uddf2\ud835\ude00\ud835\ude00\ud835\uddee\ud835\uddf4\ud835\uddf2 \ud835\uddf0\ud835\uddfc\ud835\uddfb\ud835\ude01\ud835\uddf2\ud835\uddfb\ud835\ude01 with !\ud835\uddf1\ud835\uddee\ud835\ude00\ud835\uddf5\ud835\uddef\ud835\uddfc\ud835\uddee\ud835\uddff\ud835\uddf1 command!\"},{\"date\":\"2025-06-28T08:29:16.444Z\",\"senderUserId\":\"6713704558\",\"messageType\":\"RC:TxtMsg\",\"messageUId\":\"CNMM-JRA7-4VKC-EFG1\",\"content\":\"U SHUT UP\"},{\"date\":\"2025-06-28T08:29:16.489Z\",\"senderUserId\":\"6564868206\",\"messageType\":\"RC:TxtMsg\",\"messageUId\":\"CNMM-JRAI-CVMC-EFG1\",\"content\":\"they are getting cooked\"},{\"date\":\"2025-06-28T08:29:22.894Z\",\"senderUserId\":\"6058951950\",\"messageType\":\"RC:ReferenceMsg\",\"messageUId\":\"CNMM-JSSJ-L34C-EFG1\",\"content\":\"fr\",\"referMsg\":\"they are getting cooked\"},{\"date\":\"2025-06-28T08:29:27.127Z\",\"senderUserId\":\"6258752830\",\"messageType\":\"RC:TxtMsg\",\"messageUId\":\"CNMM-JTTL-T5SC-EFG1\",\"content\":\"!roulette 100 black \"},{\"date\":\"2025-06-28T08:29:27.436Z\",\"senderUserId\":\"6554963918\",\"messageType\":\"RC:TxtMsg\",\"messageUId\":\"CNMM-JU03-560C-EFG1\",\"content\":\"\u274c You don't have enough money. You currently have 27 \ud83e\ude99.\"},{\"date\":\"2025-06-28T08:29:35.047Z\",\"senderUserId\":\"6258752830\",\"messageType\":\"RC:TxtMsg\",\"messageUId\":\"CNMM-JVRH-T9UC-EFG1\",\"content\":\"!work\"},{\"date\":\"2025-06-28T08:29:35.483Z\",\"senderUserId\":\"6058951950\",\"messageType\":\"RC:TxtMsg\",\"messageUId\":\"CNMM-JVUU-TA6C-EFG1\",\"content\":\"!dep all\"},{\"date\":\"2025-06-28T08:29:35.647Z\",\"senderUserId\":\"6554963918\",\"messageType\":\"RC:TxtMsg\",\"messageUId\":\"CNMM-K007-TACC-EFG1\",\"content\":\"\ud83d\udcbc \ud835\udde0\ud835\uddee\ud835\uddf4\ud835\uddf6\ud835\uddf0\ud835\uddf6\ud835\uddee\ud835\uddfb\ud835\udff2\ud835\udff0\ud835\udff3, You mined blocks in Blockman Go and earned \ud835\udfed\ud835\udff1\ud835\udfed \ud83e\ude99\"},{\"date\":\"2025-06-28T08:29:36.086Z\",\"senderUserId\":\"6554963918\",\"messageType\":\"RC:TxtMsg\",\"messageUId\":\"CNMM-K03L-LAUC-EFG1\",\"content\":\"\u2705 \ud835\ude05\ud835\udde6\ud835\uddee\ud835\uddf7\ud835\uddfc_\ud835\uddd8\ud835\uddfb\ud835\uddf0\ud835\uddee\ud835\uddff\ud835\uddf4\ud835\uddfc\ud835\udfec\ud835\udff3, Successfully deposited -\ud835\udff5\ud835\udff0 \ud83e\ude99 to your bank.\"},{\"date\":\"2025-06-28T08:29:39.168Z\",\"senderUserId\":\"6713704558\",\"messageType\":\"RC:TxtMsg\",\"messageUId\":\"CNMM-K0RO-5CAC-EFG1\",\"content\":\"!bal @Magician647 \"},{\"date\":\"2025-06-28T08:29:39.483Z\",\"senderUserId\":\"6554963918\",\"messageType\":\"RC:TxtMsg\",\"messageUId\":\"CNMM-K0U6-TCKC-EFG1\",\"content\":\"\ud83d\udcb2 \ud835\udde0\ud835\uddee\ud835\uddf4\ud835\uddf6\ud835\uddf0\ud835\uddf6\ud835\uddee\ud835\uddfb\ud835\udff2\ud835\udff0\ud835\udff3's Balance\\n\\n\u2003\ud83d\udcb5 Cash: 178 \ud83e\ude99\\n\u2003\ud83c\udfe6 Bank: 8395 \ud83e\ude99\\n\u2003\ud83d\udc8e Total: 8573 \ud83e\ude99\\n\\n\u27a1\ufe0f Use \u300c!\ud835\ude95\ud835\ude8b\u300d to check the most rich players on the game!\"},{\"date\":\"2025-06-28T08:29:42.013Z\",\"senderUserId\":\"6058951950\",\"messageType\":\"RC:ReferenceMsg\",\"messageUId\":\"CNMM-K1HV-DE4C-EFG1\",\"content\":\"da phak\",\"referMsg\":\"\u2705 \ud835\ude05\ud835\udde6\ud835\uddee\ud835\uddf7\ud835\uddfc_\ud835\uddd8\ud835\uddfb\ud835\uddf0\ud835\uddee\ud835\uddff\ud835\uddf4\ud835\uddfc\ud835\udfec\ud835\udff3, Successfully deposited -\ud835\udff5\ud835\udff0 \ud83e\ude99 to your bank.\"},{\"date\":\"2025-06-28T08:29:42.304Z\",\"senderUserId\":\"6258752830\",\"messageType\":\"RC:TxtMsg\",\"messageUId\":\"CNMM-K1K8-5EIC-EFG1\",\"content\":\"!roulette 100 black \"},{\"date\":\"2025-06-28T08:29:42.915Z\",\"senderUserId\":\"6554963918\",\"messageType\":\"RC:TxtMsg\",\"messageUId\":\"CNMM-K1P0-TFGC-EFG1\",\"content\":\"\ud83c\udfb0 \ud835\udde0\ud835\uddee\ud835\uddf4\ud835\uddf6\ud835\uddf0\ud835\uddf6\ud835\uddee\ud835\uddfb\ud835\udff2\ud835\udff0\ud835\udff3 started a roulette game with a bet of \ud835\udfed\ud835\udfec\ud835\udfec \ud83e\ude99 on \ud835\uddef\ud835\uddf9\ud835\uddee\ud835\uddf0\ud835\uddf8!\\n\\nOther players can join within 30 seconds by using the !\ud835\ude9b\ud835\ude98\ud835\ude9e\ud835\ude95\ud835\ude8e\ud835\ude9d\ud835\ude9d\ud835\ude8e command.\"},{\"date\":\"2025-06-28T08:29:43.444Z\",\"senderUserId\":\"6713704558\",\"messageType\":\"RC:TxtMsg\",\"messageUId\":\"CNMM-K1T5-5G6C-EFG1\",\"content\":\"bruh\"},{\"date\":\"2025-06-28T08:30:01.431Z\",\"senderUserId\":\"6058951950\",\"messageType\":\"RC:ReferenceMsg\",\"messageUId\":\"CNMM-K69L-TSUC-EFG1\",\"content\":\"do u mind if i rob u? \",\"referMsg\":\"!roulette 100 black \"},{\"date\":\"2025-06-28T08:30:05.223Z\",\"senderUserId\":\"6058951950\",\"messageType\":\"RC:TxtMsg\",\"messageUId\":\"CNMM-K779-TVAC-EFG1\",\"content\":\"no right? \"},{\"date\":\"2025-06-28T08:30:06.963Z\",\"senderUserId\":\"6058951950\",\"messageType\":\"RC:TxtMsg\",\"messageUId\":\"CNMM-K7KS-TVSC-EFG1\",\"content\":\"ye thx\"},{\"date\":\"2025-06-28T08:30:12.916Z\",\"senderUserId\":\"6554963918\",\"messageType\":\"RC:TxtMsg\",\"messageUId\":\"CNMM-K93D-622C-EFG1\",\"content\":\"The ball landed on: \ud835\uddff\ud835\uddf2\ud835\uddf1 \ud835\udfef\ud835\udff0!\"},{\"date\":\"2025-06-28T08:30:14.263Z\",\"senderUserId\":\"6058951950\",\"messageType\":\"RC:TxtMsg\",\"messageUId\":\"CNMM-K9DT-U2SC-EFG1\",\"content\":\"!rob @Magician647 \"},{\"date\":\"2025-06-28T08:30:14.767Z\",\"senderUserId\":\"6258752830\",\"messageType\":\"RC:TxtMsg\",\"messageUId\":\"CNMM-K9HR-U3AC-EFG1\",\"content\":\"!dep all \"},{\"date\":\"2025-06-28T08:30:14.857Z\",\"senderUserId\":\"6554963918\",\"messageType\":\"RC:TxtMsg\",\"messageUId\":\"CNMM-K9II-E3CC-EFG1\",\"content\":\"\ud83d\udd70\ufe0f You must wait 22 minutes before attempting to rob someone again.\"},{\"date\":\"2025-06-28T08:30:15.355Z\",\"senderUserId\":\"6554963918\",\"messageType\":\"RC:TxtMsg\",\"messageUId\":\"CNMM-K9ME-U3SC-EFG1\",\"content\":\"\u2705 \ud835\udde0\ud835\uddee\ud835\uddf4\ud835\uddf6\ud835\uddf0\ud835\uddf6\ud835\uddee\ud835\uddfb\ud835\udff2\ud835\udff0\ud835\udff3, Successfully deposited \ud835\udff3\ud835\udff4 \ud83e\ude99 to your bank.\"},{\"date\":\"2025-06-28T08:30:23.543Z\",\"senderUserId\":\"6058951950\",\"messageType\":\"RC:TxtMsg\",\"messageUId\":\"CNMM-KBMD-U8EC-EFG1\",\"content\":\"phak\"},{\"date\":\"2025-06-28T08:30:25.816Z\",\"senderUserId\":\"6058951950\",\"messageType\":\"RC:TxtMsg\",\"messageUId\":\"CNMM-KC86-6A2C-EFG1\",\"content\":\"phak! \"},{\"date\":\"2025-06-28T08:30:26.622Z\",\"senderUserId\":\"6258752830\",\"messageType\":\"RC:ReferenceMsg\",\"messageUId\":\"CNMM-KCEF-MAGC-EFG1\",\"content\":\"hehe\",\"referMsg\":\"!rob @Magician647 \"},{\"date\":\"2025-06-28T08:30:32.730Z\",\"senderUserId\":\"538697070\",\"messageType\":\"RC:TxtMsg\",\"messageUId\":\"CNMM-KDU6-MDUC-EFG1\",\"content\":\"!rob @xSajo_Encargo07 \"},{\"date\":\"2025-06-28T08:30:33.317Z\",\"senderUserId\":\"6554963918\",\"messageType\":\"RC:TxtMsg\",\"messageUId\":\"CNMM-KE2P-EEKC-EFG1\",\"content\":\"\ud83d\udd70\ufe0f You must wait 5 minutes before attempting to rob someone again.\"},{\"date\":\"2025-06-28T08:30:43.603Z\",\"senderUserId\":\"6058951950\",\"messageType\":\"RC:TxtMsg\",\"messageUId\":\"CNMM-KGJ4-UK6C-EFG1\",\"content\":\"Ha! \"},{\"date\":\"2025-06-28T08:30:49.931Z\",\"senderUserId\":\"6713704558\",\"messageType\":\"RC:TxtMsg\",\"messageUId\":\"CNMM-KI4I-UNSC-EFG1\",\"content\":\"!bal\"},{\"date\":\"2025-06-28T08:30:50.508Z\",\"senderUserId\":\"6554963918\",\"messageType\":\"RC:TxtMsg\",\"messageUId\":\"CNMM-KI93-6O6C-EFG1\",\"content\":\"\ud83d\udcb2 |\ud835\uddec\ud835\uddee\ud835\ude00\ud835\uddfa\ud835\uddf6\ud835\uddfb\ud835\uddee.! Balance\\n\\n\u2003\ud83d\udcb5 Cash: 0 \ud83e\ude99\\n\u2003\ud83c\udfe6 Bank: 1466 \ud83e\ude99\\n\u2003\ud83d\udc8e Total: 1466 \ud83e\ude99\\n\\n\u27a1\ufe0f Use \u300c!\ud835\ude95\ud835\ude8b\u300d to check the most rich players on the game!\\n\\nConnect your account with your Discord to receive 250 \ud83e\ude99 and \ud835\ude05\ud835\udff1 \ud835\uddff\ud835\uddf2\ud835\ude04\ud835\uddee\ud835\uddff\ud835\uddf1\ud835\ude00 in daily-login!\\n\u2003\u2197\ufe0f Try: \u300c!\ud835\ude8c\ud835\ude98\ud835\ude97\ud835\ude97\ud835\ude8e\ud835\ude8c\ud835\ude9d\u300d\"},{\"date\":\"2025-06-28T08:30:51.789Z\",\"senderUserId\":\"538697070\",\"messageType\":\"RC:TxtMsg\",\"messageUId\":\"CNMM-KIJ3-EPGC-EFG1\",\"content\":\"!ai chat ship me with a magician girl\"},{\"date\":\"2025-06-28T08:30:55.173Z\",\"senderUserId\":\"6554963918\",\"messageType\":\"RC:ReferenceMsg\",\"messageUId\":\"CNMM-KJDH-ESSC-EFG1\",\"content\":\"ooooh you\u2019re about to meet a magical queen \u2728\ud83e\ude84 get ready for some enchanting vibes with your magician girl partner \ud83d\udcab\",\"referMsg\":\"AI Answer to: ship me with a magician girl\"},{\"date\":\"2025-06-28T08:31:01.563Z\",\"senderUserId\":\"6058951950\",\"messageType\":\"RC:ReferenceMsg\",\"messageUId\":\"CNMM-KKVE-V0GC-EFG1\",\"content\":\"\ud83d\udc40\",\"referMsg\":\"!ai chat ship me with a magician girl\"},{\"date\":\"2025-06-28T08:31:04.346Z\",\"senderUserId\":\"1415088718\",\"messageType\":\"RC:TxtMsg\",\"messageUId\":\"CNMM-KLL6-N22C-EFG1\",\"content\":\"@sassy-boy !bal\"},{\"date\":\"2025-06-28T08:31:05.200Z\",\"senderUserId\":\"6713704558\",\"messageType\":\"RC:TxtMsg\",\"messageUId\":\"CNMM-KLRS-732C-EFG1\",\"content\":\"!ai chat ship me with a boyyyy\"},{\"date\":\"2025-06-28T08:31:06.977Z\",\"senderUserId\":\"538697070\",\"messageType\":\"RC:ReferenceMsg\",\"messageUId\":\"CNMM-KM9O-F4MC-EFG1\",\"content\":\"who's the partner?\",\"referMsg\":\"ooooh you\u2019re about to meet a magical queen \u2728\ud83e\ude84 get ready for some enchanting vibes with your magician girl partner \ud83d\udcab\"},{\"date\":\"2025-06-28T08:31:08.145Z\",\"senderUserId\":\"6554963918\",\"messageType\":\"RC:ReferenceMsg\",\"messageUId\":\"CNMM-KMIS-F5QC-EFG1\",\"content\":\"ooooh get ready to meet a chill legend \ud83e\udd29\u2728 your boy squad vibes are about to be unstoppable \ud83d\udca5\",\"referMsg\":\"AI Answer to: ship me with a boyyyy\"},{\"date\":\"2025-06-28T08:31:10.403Z\",\"senderUserId\":\"6554963918\",\"messageType\":\"RC:ReferenceMsg\",\"messageUId\":\"CNMM-KN4G-V7GC-EFG1\",\"content\":\"your partner's a magical queen \ud83e\ude84\u2728 get ready for enchanting vibes with her \ud83d\udcab\",\"referMsg\":\"AI Answer to: who's the partner?\"},{\"date\":\"2025-06-28T08:31:12.384Z\",\"senderUserId\":\"6713704558\",\"messageType\":\"RC:ReferenceMsg\",\"messageUId\":\"CNMM-KNK0-79QC-EFG1\",\"content\":\"ehe\",\"referMsg\":\"ooooh get ready to meet a chill legend \ud83e\udd29\u2728 your boy squad vibes are about to be unstoppable \ud83d\udca5\"},{\"date\":\"2025-06-28T08:31:15.430Z\",\"senderUserId\":\"6554963918\",\"messageType\":\"RC:ReferenceMsg\",\"messageUId\":\"CNMM-KOBP-NBGC-EFG1\",\"content\":\"heyy whats up? \ud83d\ude0a\u2728\",\"referMsg\":\"AI Answer to: ehe\"},{\"date\":\"2025-06-28T08:31:19.226Z\",\"senderUserId\":\"6713704558\",\"messageType\":\"RC:TxtMsg\",\"messageUId\":\"CNMM-KP9E-NFGC-EFG1\",\"content\":\"!ai chat ship me with a boy\"},{\"date\":\"2025-06-28T08:31:19.718Z\",\"senderUserId\":\"6345918286\",\"messageType\":\"RC:TxtMsg\",\"messageUId\":\"CNMM-KPD9-NG2C-EFG1\",\"content\":\".\"},{\"date\":\"2025-06-28T08:31:21.785Z\",\"senderUserId\":\"6554963918\",\"messageType\":\"RC:ReferenceMsg\",\"messageUId\":\"CNMM-KPTE-FH6C-EFG1\",\"content\":\"ooooh get ready to meet a chill legend \ud83e\udd29\u2728 your boy squad vibes are about to be unstoppable \ud83d\udca5\",\"referMsg\":\"AI Answer to: ship me with a boy\"},{\"date\":\"2025-06-28T08:31:27.860Z\",\"senderUserId\":\"6713704558\",\"messageType\":\"RC:ReferenceMsg\",\"messageUId\":\"CNMM-KRCT-7LMC-EFG1\",\"content\":\"yooi brotahhh\",\"referMsg\":\".\"}]}\nUser: unstoppable \ud83d\udc80\ud83d\ude4f\nAssistant:"},{"assistant_initiates":false,"asst_text":"Berikut adalah contoh ketentuan resmi dan baku yang dapat dimasukkan dalam pasal perjanjian kerja sama antara Evermos (A) dengan Mitra/Yayasan, berdasarkan konteks dan catatan yang Anda sampaikan:\n\n---\n\n**Pasal X  \nTanggung Jawab Kepatuhan dan Sanksi**\n\n1. Mitra bertanggung jawab sepenuhnya atas kepatuhan terhadap seluruh ketentuan hukum yang berlaku, termasuk namun tidak terbatas pada kewajiban memperoleh Izin Lembaga Konsultasi Syariah (Izin LKS) yang sah dan berlaku sesuai peraturan perundang-undangan.\n\n2. Segala risiko dan sanksi yang timbul akibat ketidakberadaan atau tidak sahnya Izin LKS yang menjadi kewajiban Mitra, termasuk potensi penghentian usaha oleh otoritas, menjadi tanggung jawab penuh Mitra, dan Evermos dibebaskan dari seluruh tanggung jawab atas hal tersebut.\n\n3. Dalam hal terjadi pelanggaran ketentuan izin sebagaimana disebutkan di atas, Evermos berhak untuk mengakhiri kerja sama dengan Mitra secara sepihak tanpa kewajiban memberikan kompensasi dan/atau ganti rugi kepada Mitra.\n\n**Pasal Y  \nJaminan Kepatuhan dan Kesesuaian Program**\n\n1. Mitra menjamin secara tertulis bahwa seluruh program dan atau pendanaan yang dilakukan bersama Evermos adalah sesuai dengan ketentuan hukum yang berlaku dan tidak menggunakan sumber dana yang dicurigai atau dilarang oleh peraturan perundang-undangan.\n\n2. Mitra bertanggung jawab sepenuhnya atas kepatuhan administratif dan hukum dari program serta pendanaan yang dijalankan bersama Evermos, termasuk kepada pihak berwenang, dan akan membebaskan Evermos dari segala risiko, tanggung jawab, dan klaim yang timbul akibat ketidakpatuhan tersebut.\n\n3. Mitra menyatakan bahwa Evermos bertindak sebagai lembaga amil zakat yang memfasilitasi pengumpulan dan penyaluran dana, dan seluruh dana yang dihimpun melalui platform Evermos akan dikelola oleh Evermos sesuai dengan materi dan tujuan program yang telah disepakati.\n\n4. Segala perubahan atau kegiatan yang dapat berpotensi melanggar ketentuan hukum harus mendapatkan persetujuan tertulis dari Evermos sebelum dilaksanakan oleh Mitra.\n\n---\n\nJika perlu, ketentuan tersebut dapat disesuaikan lebih lanjut agar sesuai dengan format dan terminologi yang digunakan dalam kontrak baku di perusahaan Anda. Jangan lupa juga untuk melakukan validasi dan konsultasi dengan tim legal serta compliance terkait sebelum finalisasi dokumen.","behavior":"degenerate_repetition","conversation_hash":"4c4e5b92bfcae8d156ff2b4971425f2b","conversation_redacted":false,"conversation_toxic":false,"country":"Indonesia","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"Indonesian","model":"gpt-4.1-mini-2025-04-14","n_chars":3838,"n_turns_in_conversation":9,"n_words":526,"source_row_offset":17882,"source_shard":"turns-00084.parquet","timestamp":"Sat, 28 Jun 2025 08:31:45 GMT","turn_id":"62b5c899bf26c7020a7af377","turn_index":0,"user_text":"Buat ketentuannya unntuk di pasal perjanjian resmi dan baku:\n\nTanggung jawab kepatuhan dan sanksi atas tidak adanya Izin LKS akan ditanggung sepenuhnya oleh Mitra. \nDampak yang perlu diperhatikan atas pelanggaran di atas adalah berakhirnya kerja sama oleh mitra karena penghentian usaha oleh otoritas.\nOleh karena itu, skema yang disampaikan menurut tim Compliance dapat dijalankan dengan catatan di bawah ini.\n\n\nCatatan Tambahan:\n\nHal lain yang perlu diperhatikan adalah apabila mitra Yayasan menjalankan program atau pendanaan dengan sumber dana yang mencurigakan atau merupakan program yang dilarang oleh ketentuan hukum. Dampak atas poin ini akan lebih berat dibandingkan pelanggaran izin. \nMohon pastikan agar mitra Yayasan akan menjamin kepatuhan secara tertulis dalam Perjanjian dengan Evermos, dengan ketentuan sekurangnya sebagai berikut:\nBahwa mitra Yayasan akan mematuhi ketentuan yang berlaku terhadapnya, termasuk untuk memperoleh izin dan melepaskan Evermos dari tanggung jawab ataupun risiko apapun terkait ketidakpatuhan mitra atas ketentuan hukum. \nBahwa mitra Yayasan menjalankan program ataupun pendanaan dengan Evermos yang tidak melanggar hukum.\n\nkonteks:\nintinya A akan kerja sama dengan Mitra dimana A ngadain Program dan Mitra nyedian materinya. Berdasarkan materi itu A dan Mitra akan galang dana melalui platform A. Dan dana yang kekumpul disimpen dulu sama A dan nanti akan digunakan sesuai materi yang dikasih A. Jadi disini A yang harus jadi lembaga amil zakat nya "},{"assistant_initiates":false,"asst_text":"Dalam penulisan judul atau heading, aturan huruf besar kecil (title case) biasanya berlaku pada kata-kata penting, sementara kata penghubung dan kata kecil seperti \"sebagai\" biasanya ditulis dengan huruf kecil.\n\nJadi, jika judulnya misalnya:\n\n**Tanggung Jawab Kepatuhan dan Sanksi Sebagai Mitra**\n\natau\n\n**Jaminan Kepatuhan dan Kesesuaian Program Sebagai Bagian dari Kerja Sama**\n\nMaka kata **\"sebagai\"** ditulis dengan huruf kecil, kecuali jika kata tersebut terletak sebagai kata pertama dalam judul atau kalimat.\n\n---\n\n**Ringkas:**\n\n- Jika dalam judul/kepala pasal:  \n  *Tanggung Jawab Kepatuhan dan Sanksi sebagai Mitra*  \n  \u2192 \"sebagai\" huruf kecil karena kata penghubung/kata kecil.\n\n- Jika kata \"sebagai\" di awal judul:  \n  *Sebagai Mitra Anda Bertanggung Jawab...*  \n  \u2192 \"Sebagai\" huruf besar karena di awal kalimat/judul.\n\n---\n\nJika Anda menggunakan style penulisan tertentu (misal semua huruf kapital atau semua huruf kecil), konsistensi tetap harus dijaga.","behavior":"degenerate_repetition","conversation_hash":"4c4e5b92bfcae8d156ff2b4971425f2b","conversation_redacted":false,"conversation_toxic":false,"country":"Indonesia","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"Indonesian","model":"gpt-4.1-mini-2025-04-14","n_chars":1004,"n_turns_in_conversation":9,"n_words":137,"source_row_offset":17883,"source_shard":"turns-00084.parquet","timestamp":"Sat, 28 Jun 2025 08:31:45 GMT","turn_id":"1e916acf8184b235b004205f","turn_index":1,"user_text":"\"sabagai\" di judul huruf besar kecil?"},{"assistant_initiates":false,"asst_text":"Berikut adalah contoh redaksi pasal atau klausul resmi dan baku yang mengatur tentang **informasi contact person** Mitra sesuai permintaan Anda:\n\n---\n\n**Pasal Z  \nContact Person dan Komunikasi**\n\n1. Mitra wajib memberikan informasi lengkap mengenai contact person atau perwakilannya yang berwenang menangani segala hal yang berkaitan dengan operasional dan komunikasi dalam rangka pelaksanaan kerja sama berdasarkan Perjanjian ini. Informasi tersebut sekurang-kurangnya meliputi:  \n   a. Nama lengkap  \n   b. Nomor identitas resmi (KTP)  \n   c. Surat penunjukan sebagai contact person/perwakilan Mitra  \n   d. Nomor telepon yang dapat dihubungi  \n   e. Alamat email yang aktif  \n\n2. Contact person yang ditunjuk sebagaimana dimaksud pada ayat (1) bertugas sebagai penghubung utama antara Mitra dan Evermos untuk segala hal yang berkaitan dengan operasional, pelaporan, dan keuangan dalam pelaksanaan kerja sama.\n\n3. Setiap perubahan data contact person wajib segera diberitahukan secara tertulis kepada pihak Evermos untuk memastikan kelancaran komunikasi dan pelaksanaan Perjanjian ini.\n\n---\n\nKalimat penjelasan informal yang Anda sebutkan dapat dijadikan catatan internal, tapi untuk perjanjian resmi sebaiknya diformulasikan secara baku dan formal seperti contoh di atas. Jika ingin saya bantu buatkan versi yang lebih singkat atau lengkap, silakan sampaikan.","behavior":"degenerate_repetition","conversation_hash":"4c4e5b92bfcae8d156ff2b4971425f2b","conversation_redacted":false,"conversation_toxic":false,"country":"Indonesia","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"Indonesian","model":"gpt-4.1-mini-2025-04-14","n_chars":1671,"n_turns_in_conversation":9,"n_words":221,"source_row_offset":17884,"source_shard":"turns-00084.parquet","timestamp":"Sat, 28 Jun 2025 08:31:45 GMT","turn_id":"ed56b9fd32bbea4dfeccd354","turn_index":2,"user_text":"f.\tinfromasi, KTP dan surat penunjukan contact person Mitra atau perwakilannya \n.... pokonya yang akan ngurus/wakulin Mitra untuk ngurus seuam terkait operasional\nuntuk komunikasi terkait operasional dan keuangan dari kerja sama Para Pihak berdasarkan Perjanjian ini (nama, nomor yang dapat dihubungi, email)"},{"assistant_initiates":false,"asst_text":"Berikut contoh satu kalimat poin yang formal dan jelas untuk dijadikan klausul dalam perjanjian:  \n\n- Mitra wajib memberikan informasi lengkap berupa fotokopi KTP, surat penunjukan sebagai contact person atau perwakilan yang berwenang menangani operasional dan keuangan kerja sama, serta data kontak yang dapat dihubungi (nama, nomor telepon, dan email) untuk keperluan komunikasi antar Para Pihak berdasarkan Perjanjian ini.","behavior":"degenerate_repetition","conversation_hash":"4c4e5b92bfcae8d156ff2b4971425f2b","conversation_redacted":false,"conversation_toxic":false,"country":"Indonesia","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"Indonesian","model":"gpt-4.1-mini-2025-04-14","n_chars":445,"n_turns_in_conversation":9,"n_words":62,"source_row_offset":17885,"source_shard":"turns-00084.parquet","timestamp":"Sat, 28 Jun 2025 08:31:45 GMT","turn_id":"80ae10175045e40d8b546908","turn_index":3,"user_text":"buat 1 kalimat poin"},{"assistant_initiates":false,"asst_text":"Berikut revisi kalimat poin yang baku dan jelas untuk perjanjian Anda:  \n\n**f.** Informasi berupa fotokopi KTP dan surat penunjukan sebagai contact person atau perwakilan Mitra yang berwenang menangani pelaksanaan operasional dan keuangan Program Donasi berdasarkan Perjanjian ini, termasuk nama lengkap, nomor yang dapat dihubungi, dan alamat email aktif.","behavior":"degenerate_repetition","conversation_hash":"4c4e5b92bfcae8d156ff2b4971425f2b","conversation_redacted":false,"conversation_toxic":false,"country":"Indonesia","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"Indonesian","model":"gpt-4.1-mini-2025-04-14","n_chars":587,"n_turns_in_conversation":9,"n_words":78,"source_row_offset":17886,"source_shard":"turns-00084.parquet","timestamp":"Sat, 28 Jun 2025 08:31:45 GMT","turn_id":"45684f0320c4279f4bfa77ed","turn_index":4,"user_text":"f.\tinfromasi, KTP dan surat penunjukan sebagai contact person aau perwakilan Mitra yang berwenang menangani pelaksanaan operasional dan keuangan Program Donasi berdasarkan Perjanjian ini (nama, nomor yang dapat dihubungi, email)??"}],"shard":{"index":84,"name":"turns-00084.parquet","rows":46857}}