Datasets:

Sahek
/

oon-relief-synthetic-cohorts

+---
+license: mit
+tags:
+- synthetic-data
+- ranking
+- recommender-systems
+- coordinated-inauthentic-behavior
+- ai-safety
+pretty_name: OON Relief Synthetic Cohorts
+---
+# OON Relief Synthetic Cohorts
+Synthetic candidate data used in the [OON Relief Simulation](https://huggingface.co/spaces/Sahek/velocity-gated-ranking-relief), a reference implementation of a velocity-gated out-of-network ranking relief mechanism.
+**This is illustrative synthetic data, not derived from any real platform telemetry.**
+## Cohorts
+- **breaking_event** (15 rows) — organic, accelerating engagement, low prior exposure
+- **normal_oon** (15 rows) — steady-state out-of-network baseline content
+- **coordinated_burst** (10 rows) — engineered to hit breaking-event-level raw velocity while impressions are already well past the macro-exposure ceiling, simulating a click-farm/botnet amplification pattern
+## Columns
+| Column | Description |
+|---|---|
+| cohort | Which synthetic cohort the row belongs to |
+| tweet_id | Synthetic identifier |
+| age_minutes | Post age at time of scoring |
+| fav_count / reply_count / repost_count / quote_count | Raw engagement counts |
+| in_network | Whether the candidate is in-network (always False here) |
+| is_policy_clean | Stand-in for content-policy classifier verdict |
+| author_followers | Synthetic author follower count, used for tier normalization |
+| network_impressions | Macro-exposure counter used by the impression-ceiling guard |
+| engagement_velocity_raw | Engagement per minute, unnormalized |
+| engagement_velocity_score | Velocity normalized against author-tier baseline, squashed to [0, 1] |
+## Generation
+Generated with fixed random seeds (1, 2, 3) via `synthetic_data.py` in the companion Space's repository, so the data is fully reproducible.
+## Author
+Alice (Kay) — [HuggingFace](https://huggingface.co/Sahek) · [X](https://x.com/kay_myg)

oon_relief_synthetic_cohorts.csv ADDED Viewed

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+cohort,tweet_id,age_minutes,fav_count,reply_count,repost_count,quote_count,in_network,is_policy_clean,author_followers,network_impressions,engagement_velocity_raw,engagement_velocity_score
+breaking_event,breaking_0,4.42,615,98,346,60,False,True,800,6415,253.2501,1.0
+breaking_event,breaking_1,3.69,1338,68,365,58,False,True,800,5718,495.7348,1.0
+breaking_event,breaking_2,6.79,1745,58,416,16,False,True,800,5371,328.9692,1.0
+breaking_event,breaking_3,2.17,628,84,247,24,False,True,4000,6227,453.8971,1.0
+breaking_event,breaking_4,18.91,2487,247,915,194,False,True,20000,2673,203.2795,1.0
+breaking_event,breaking_5,2.39,889,20,243,35,False,True,20000,2722,497.3155,1.0
+breaking_event,breaking_6,15.38,6006,346,2240,171,False,True,20000,7326,569.8904,1.0
+breaking_event,breaking_7,5.42,1384,194,704,60,False,True,4000,4917,432.3191,1.0
+breaking_event,breaking_8,2.62,813,50,278,22,False,True,800,7120,443.6451,1.0
+breaking_event,breaking_9,15.97,2892,325,1374,255,False,True,20000,4407,303.5375,1.0
+breaking_event,breaking_10,9.08,2782,194,545,156,False,True,4000,5111,405.0188,1.0
+breaking_event,breaking_11,12.41,1360,280,1832,196,False,True,20000,4547,295.6356,1.0
+breaking_event,breaking_12,17.49,3349,297,2276,146,False,True,800,7323,347.036,1.0
+breaking_event,breaking_13,13.87,5338,72,1689,232,False,True,20000,7146,528.7084,1.0
+breaking_event,breaking_14,15.33,3549,377,1155,46,False,True,800,7025,334.4627,1.0
+normal_oon,normal_0,574.94,209,122,144,94,False,True,500,2576,0.9897,0.8618
+normal_oon,normal_1,173.4,224,54,42,15,False,True,3000,1241,1.9319,0.4748
+normal_oon,normal_2,442.12,521,110,150,7,False,True,15000,179,1.7823,0.4479
+normal_oon,normal_3,294.99,540,70,264,12,False,True,15000,614,3.0035,0.6325
+normal_oon,normal_4,161.44,126,18,90,32,False,True,3000,2055,1.6476,0.4226
+normal_oon,normal_5,133.65,218,50,122,20,False,True,90000,2390,3.0677,0.185
+normal_oon,normal_6,231.66,113,90,172,22,False,True,90000,1638,1.7137,0.108
+normal_oon,normal_7,309.31,340,131,129,54,False,True,90000,2709,2.1144,0.1315
+normal_oon,normal_8,292.78,314,43,114,41,False,True,90000,581,1.7488,0.11
+normal_oon,normal_9,547.53,871,145,204,88,False,True,15000,2510,2.3889,0.549
+normal_oon,normal_10,350.45,266,50,196,65,False,True,90000,1907,1.6465,0.104
+normal_oon,normal_11,72.96,109,33,19,11,False,True,15000,270,2.3573,0.5442
+normal_oon,normal_12,402.16,508,143,371,61,False,True,15000,495,2.693,0.5925
+normal_oon,normal_13,181.53,344,14,164,28,False,True,3000,264,3.0298,0.6358
+normal_oon,normal_14,235.32,332,20,225,3,False,True,3000,2215,2.4647,0.5603
+coordinated_burst,burst_0,3.9,1808,9,1488,7,False,True,200,144783,848.4222,1.0
+coordinated_burst,burst_1,9.27,4086,29,2387,19,False,True,600,115598,703.4105,1.0
+coordinated_burst,burst_2,8.89,3284,14,4246,10,False,True,200,153997,849.8931,1.0
+coordinated_burst,burst_3,2.51,1325,8,729,0,False,True,600,126184,820.7777,1.0
+coordinated_burst,burst_4,7.75,4368,29,3691,9,False,True,600,194973,1044.6945,1.0
+coordinated_burst,burst_5,3.07,1258,3,1070,2,False,True,600,169056,759.1453,1.0
+coordinated_burst,burst_6,8.84,3769,38,3290,14,False,True,600,141795,804.2476,1.0
+coordinated_burst,burst_7,9.23,4659,43,4219,27,False,True,200,157806,969.068,1.0
+coordinated_burst,burst_8,4.61,2132,15,1066,9,False,True,600,99894,698.7453,1.0
+coordinated_burst,burst_9,2.51,1394,12,568,6,False,True,600,185593,789.573,1.0