update dataset card

README.md

@@ -24,8 +24,6 @@ dataset_info:
     dtype: string
   - name: paper_id
     dtype: string
-  - name: initial_prompt
-    dtype: string
   - name: analysis_target
     dtype: string
   - name: signal_model
@@ -38,15 +36,15 @@ dataset_info:
     dtype: string
   - name: score_mode
     dtype: string
-  - name: tolerance
-    dtype: float64
   - name: walltime
     dtype: string
   - name: difficulty
     dtype: string
   - name: tags
     list: string
-  - name: instructions_md
+  - name: initial_prompt
+    dtype: string
+  - name: task_md
     dtype: string
   - name: task_toml
     dtype: string
@@ -105,7 +103,7 @@ from datasets import load_dataset
 ds = load_dataset("Dariusfar/ColliderBench", split="train")
 print(ds)                                  # 10 sim tasks
 print(ds[0]["task_id"], ds[0]["paper_id"])
-print(ds[0]["instructions_md"][:400])      # what the agent gets shown
+print(ds[0]["task_md"][:400])              # what the agent gets shown
 print(ds[0]["template_yaml"][:400])        # the null-filled template
 print(ds[0]["paper_pdf"][:8])              # PDF magic bytes (b'%PDF-1.5')
 ```
@@ -127,19 +125,18 @@ scripts/run-agent --config configs/anthropics/claude_sonnet.yaml --task sus-16-0
 |---|---|---|
 | `task_id`            | string | Canonical task identifier, e.g. `sus-16-046_sim-T5Wg` |
 | `paper_id`           | string | CMS analysis identifier, e.g. `CMS-SUS-16-046` |
-| `initial_prompt`     | string | The system prompt the reference `simple` agent receives (from `agents/simple/run.py:build_prompt`); use as a starting point or replace with your own |
 | `analysis_target`    | string | Final state under study (`photons`, `single lepton`, `leptons + jets`) |
 | `signal_model`       | string | SUSY simplified-model name + slice (`T5Wg, high-H_T`, `T2tt, compressed`, …) |
 | `observable`         | string | Observable key as used by the scorer (`STgamma`, `MET`, …) |
 | `observable_pretty`  | string | LaTeX-style label (`S_T^gamma`, `E_T^miss`, `p_T^miss`) |
 | `plot_units`         | string | y-axis units of the histogram (`Events/bin`, `Events/GeV`) |
 | `score_mode`         | string | Scoring mode used by the harness (`shape_norm` for sim tasks) |
-| `tolerance`          | float64 | Per-bin tolerance band used in shape-pass-rate diagnostics |
 | `walltime`           | string | Harness walltime budget (e.g. `2h30m`) |
 | `difficulty`         | string | `easy` / `medium` / `hard` rough difficulty tag |
 | `tags`               | seq<string> | Free-form metadata tags |
-| `instructions_md`    | string | The full `TASK.md` text — the agent's primary instructions |
-| `task_toml`          | string | Verbatim `task.toml` content (paper id, observable, walltime, tolerance, …) |
+| `initial_prompt`     | string | The system prompt the reference `simple` agent receives (from `agents/simple/run.py:build_prompt`); use as a starting point or replace with your own |
+| `task_md`            | string | The full `TASK.md` text — the agent's primary instructions |
+| `task_toml`          | string | Verbatim `task.toml` content (paper id, observable, walltime, …) |
 | `template_yaml`      | string | Null-filled HEPData-style YAML the agent fills with predicted bin values |
 | `n_bins`             | int64  | Total bin count across all dependent variables in the template |
 | `paper_pdf`          | binary | Bytes of the CMS analysis paper (publicly available on CDS/Inspire-HEP) |