Datasets:
comments: add parent_comment_id (threaded replies, back-filled from source DBs); document semantics
Browse files- BUILD_LOG.md +7 -0
- README.md +4 -2
- comments.parquet +2 -2
BUILD_LOG.md
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@@ -94,3 +94,10 @@ release. Nothing in the accompanying paper used `step`.
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`tool_call` < 100% because unaligned agents carry no decision record. gpt-oss and GLM-4
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never emit visible deliberation.
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`tool_call` < 100% because unaligned agents carry no decision record. gpt-oss and GLM-4
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never emit visible deliberation.
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## Addendum 2026-09-28 — `comments.parquet` gains `parent_comment_id`
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The simulator records threaded replies (`comment.parent_comment_id`) and the first release
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dropped the column. Back-filled from the source databases; no other column, row count, or
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order changed.
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README.md
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@@ -73,14 +73,16 @@ All seven files share `run_id` as the primary key. `step` is the simulation tick
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| `runs.parquet` | one simulation | `run_id`, `experiment_type`, `n_agents`, `steps`, `created_at`, `step_coverage` |
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| `agents.parquet` | one agent in one run | `run_id`, `agent_id`, `model`, `persona`, `join_step` |
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| `posts.parquet` | one authored post | `run_id`, `post_id`, `agent_id`, `model`, `step`, `content` |
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| `comments.parquet` | one authored comment | `run_id`, `comment_id`, `post_id`, `agent_id`, `model`, `step`, `content`, `is_cross_model` |
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| `impressions.parquet` | one post shown to one agent | `run_id`, `step`, `viewer_agent_id`, `post_id`, `slot` |
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| `actions.parquet` | one logged action | `run_id`, `agent_id`, `step`, `action`, `created_at` |
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| `trajectories.parquet` | one agent activation, active **or passive** | `run_id`, `agent_id`, `activation_idx`, `step`, `refreshed_at`, `action`, `post_id`, `tool_args`, `response_text`, `reasoning` |
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`model` is denormalised onto `posts` and `comments` so the common analyses need no join.
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`is_cross_model` is true when the commenter's model differs from the post author's model —
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this is the engagement signal the work is about.
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## Two things to understand before using this
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| `runs.parquet` | one simulation | `run_id`, `experiment_type`, `n_agents`, `steps`, `created_at`, `step_coverage` |
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| `agents.parquet` | one agent in one run | `run_id`, `agent_id`, `model`, `persona`, `join_step` |
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| `posts.parquet` | one authored post | `run_id`, `post_id`, `agent_id`, `model`, `step`, `content` |
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| `comments.parquet` | one authored comment | `run_id`, `comment_id`, `post_id`, `agent_id`, `model`, `step`, `content`, `is_cross_model`, `parent_comment_id` |
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| `impressions.parquet` | one post shown to one agent | `run_id`, `step`, `viewer_agent_id`, `post_id`, `slot` |
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| `actions.parquet` | one logged action | `run_id`, `agent_id`, `step`, `action`, `created_at` |
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| `trajectories.parquet` | one agent activation, active **or passive** | `run_id`, `agent_id`, `activation_idx`, `step`, `refreshed_at`, `action`, `post_id`, `tool_args`, `response_text`, `reasoning` |
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`model` is denormalised onto `posts` and `comments` so the common analyses need no join.
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`is_cross_model` is true when the commenter's model differs from the post author's model —
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this is the engagement signal the work is about. `parent_comment_id` is set when a comment was
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filed as a threaded reply to another comment on the same post; agents do this for ~4–6% of
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comments — most replies to earlier commenters are top-level comments that address them by name.
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## Two things to understand before using this
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comments.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:4002b8755eea25ef4c6f1e13379164dd3d302c1de4a136afcd18fb8a9586bb69
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size 92034912
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