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Browse files- .gitattributes +1 -0
- README.md +44 -0
- data/recipes.jsonl +0 -0
- data/train.jsonl +3 -0
- data/val.jsonl +0 -0
.gitattributes
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# Video files - compressed
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README.md
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---
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pretty_name: TextCraft-Synth (flat)
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license: mit
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language: [en]
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tags: [textcraft, crafting, planning, rl-environment]
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size_categories: [1K<n<10K]
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train.jsonl
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- split: val
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path: data/val.jsonl
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- config_name: recipes
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data_files:
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- split: world
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path: data/recipes.jsonl
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---
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# TextCraft-Synth (flat)
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The 3,154 TextCraft-Synth tasks of [Recursive Agent Optimization](https://arxiv.org/abs/2605.06639)
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(Gandhi et al., 2026), as one row per task, for `datasets.load_dataset`. The rows are platoon's task files
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(`extensions/textcraft/src/platoon_textcraft/data/textcraft_synth_{train,val}.jsonl`, MIT) and the `recipes` config
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is the world (`recipes.json`) of the published Harbor export [`apurvaga/textcraft-synth`](https://huggingface.co/datasets/apurvaga/textcraft-synth).
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Content is unchanged; only the layout differs.
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| Split | Tasks | easy | medium | hard | extreme |
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|---|---:|---:|---:|---:|---:|
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| train | 2,522 | 588 | 852 | 544 | 538 |
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| val | 632 | 147 | 213 | 136 | 136 |
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Columns (`default`): `id`, `goal`, `difficulty`, `max_depth`, `num_craft_steps`, and JSON-encoded `target_items`,
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`initial_inventory` and `gold_trajectory` (dict fields are strings so the schema stays flat).
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Columns (`recipes`, split `world`, one row per item): `item`, `is_base`, `depth`, `result_count`, and JSON-encoded
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`ingredients` ({item: count}); base items have null `result_count` and `ingredients`.
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```python
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from datasets import load_dataset
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tasks = load_dataset("<org>/textcraft-synth-flat", revision="<commit>")
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medium = tasks["train"].filter(lambda r: r["difficulty"] == "medium") # RAO's 852 training tasks
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world = load_dataset("<org>/textcraft-synth-flat", "recipes", split="world", revision="<commit>")
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```
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version https://git-lfs.github.com/spec/v1
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oid sha256:29791240dcfceac0c1885983621f4a1e30c04edf40f285ddbae26c76cb3a6dda
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size 22867905
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data/val.jsonl
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