Add tasksource-jev-typed-decisions dataset card

README.md

@@ -20,22 +20,6 @@ tags:
 size_categories:
 - 1M<n<10M
 configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: validation
-    path: data/validation-*
-  - split: test
-    path: data/test-*
-- config_name: full
-  data_files:
-  - split: train
-    path: full/train-*
-  - split: validation
-    path: full/validation-*
-  - split: test
-    path: full/test-*
 - config_name: filtered-full
   data_files:
   - split: train
@@ -49,90 +33,6 @@ configs:
   - split: validation
     path: vision/validation-*
 dataset_info:
-- config_name: default
-  features:
-  - name: state
-    dtype: string
-  - name: kind
-    dtype: string
-  - name: id
-    dtype: string
-  - name: options
-    list: string
-  - name: target
-    list: float64
-  - name: question
-    dtype: string
-  - name: source
-    dtype: string
-  - name: variant
-    dtype: string
-  - name: split
-    dtype: string
-  - name: group_id
-    dtype: string
-  - name: question_id
-    dtype: string
-  - name: example_id
-    dtype: string
-  - name: license
-    dtype: string
-  - name: license_use
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 1357605662
-    num_examples: 999879
-  - name: validation
-    num_bytes: 19470492
-    num_examples: 14023
-  - name: test
-    num_bytes: 18690297
-    num_examples: 14202
-  download_size: 673696926
-  dataset_size: 1395766451
-- config_name: full
-  features:
-  - name: state
-    dtype: string
-  - name: kind
-    dtype: string
-  - name: id
-    dtype: string
-  - name: options
-    list: string
-  - name: target
-    list: float64
-  - name: question
-    dtype: string
-  - name: source
-    dtype: string
-  - name: variant
-    dtype: string
-  - name: split
-    dtype: string
-  - name: group_id
-    dtype: string
-  - name: question_id
-    dtype: string
-  - name: example_id
-    dtype: string
-  - name: license
-    dtype: string
-  - name: license_use
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 3394424881
-    num_examples: 2500000
-  - name: validation
-    num_bytes: 20827026
-    num_examples: 15000
-  - name: test
-    num_bytes: 19740492
-    num_examples: 15000
-  download_size: 1728254328
-  dataset_size: 3434992399
 - config_name: filtered-full
   features:
   - name: state
@@ -250,6 +150,7 @@ Exact split sizes are in the Dataset Viewer metadata. Task coverage and counts a
 | `target` | Distribution aligned with `options`, or `[p_true]` for `noul`. |
 | `id`, `group_id`, `question_id` | Decision identity and grouping of related questions. |
 | `example_id` | Content-derived example identity used by the build. |
+| `source_index` | Original row of the example in its source dataset, as `split:row` (the split before any re-splitting); empty for packed and generated rows. |
 | `source`, `split`, `variant` | Task identity, split annotation and recast variant. |
 | `license`, `license_use` | Recorded source terms and their usage classification. |
 | `images` | **Vision only:** ordered Hugging Face image features, decoded on access. |
@@ -272,7 +173,7 @@ Tasksource standardizes native labels and choices, adds task-specific questions
 
 Native source partitions are retained where available; derived group-based holdouts and overlap exclusions are documented per source. These checks do not establish absence of all cross-dataset or benchmark contamination. For example, Mind2Web text tasks use derived holdouts from public training trajectories, not official benchmark tests; alignment with private Decision Index evaluation rows is unverified. Mind2Web is excluded from the visual config.
 
-Source and recast reviews are coarse checks, not corpus-wide correctness guarantees. [English examples](https://github.com/sileod/tasksource/blob/main/docs/examples/english/README.md) illustrate the exported and canonical representations.
+Source and recast reviews are coarse checks, not corpus-wide correctness guarantees. [English examples](https://github.com/sileod/tasksource/blob/main/docs/examples.md) illustrate the exported and canonical representations.
 
 ## Licenses