| --- |
| license: cc-by-4.0 |
| task_categories: |
| - text-classification |
| - token-classification |
| language: |
| - es |
| tags: |
| - signed-graphs |
| - relation-extraction |
| - political-networks |
| - text2graph |
| - benchmark |
| pretty_name: text2signed-graph Gold Standard (Synthetic v2) |
| size_categories: |
| - n<1K |
| configs: |
| - config_name: relations_full |
| data_files: relations_full.parquet |
| default: true |
| - config_name: articles |
| data_files: articles.parquet |
| - config_name: nodes |
| data_files: nodes.parquet |
| - config_name: edges |
| data_files: gold.parquet |
| --- |
| |
| # text2signed-graph — Gold Standard (Synthetic v2) |
|
|
| A synthetic benchmark for **extracting signed political relation graphs from news |
| articles**. Each relation is a directed, signed triple between political actors: |
| `(actor_u → act_type → actor_v, polarity)`, grounded in an evidence quote. |
|
|
| Built to evaluate `text2SG` extraction pipelines (NER → entity resolution → relation |
| extraction) in a **precision-first** setting, with planted distractors to penalize |
| over-extraction. |
|
|
| ## Contents |
|
|
| | File | Rows | Description | |
| |---|---|---| |
| | **`relations_full.parquet`** ⭐ | **914** | **the signed graph, denormalized & human-readable** — `actor_u → act_type → actor_v, polarity` with actor names + article metadata. Start here. | |
| | `articles.parquet` | 282 | input — synthetic news articles (incl. distractors) | |
| | `nodes.parquet` | 1,579 | graph nodes (actors per article) — normalized form | |
| | `gold.parquet` | 914 | graph edges (by `union_id`) — normalized form | |
| | `split.json` | — | `train` (207) / `test` (75) article split + seed | |
| | `unions.json` | — | raw nested form of the nodes | |
| |
| ### `relations_full.parquet` schema (start here — viewer-friendly) |
| `article_id`, **`actor_u`**, **`act_type`**, **`actor_v`**, **`polarity`** (the signed |
| edge), `u_type`, `v_type`, `is_reactive`, `issue`, `evidence_quote`, `source`, |
| `dispute_type`, `title`, `dominio`, `dureza`, `es_distractor`. Each row is one gold edge |
| `actor_u → act_type → actor_v (polarity)` with everything joined in. |
|
|
| ## The signed graph (the core) |
|
|
| Each article has a **gold signed graph**: `nodes.parquet` (actors) + `gold.parquet` |
| (signed edges between them). Join them on (`article_id`, `union_id` ↔ `u_from`/`u_to`). |
|
|
| ### `nodes.parquet` schema (the actors) |
| `article_id`, **`union_id`** (e.g. `U7`), **`type`** (`roster_actor` = known political |
| figure / `institutional_actor` / `non_roster_actor`), **`canonical_name`**, `surfaces` |
| (alias list). 1,579 nodes total. |
|
|
| ### `gold.parquet` schema (the signed edges) |
| `article_id`, **`u_from`**, **`u_to`** (→ `nodes.union_id`), `act_type` (e.g. `endorses`, |
| `attacks`, `allies_with`, `questions`…), **`polarity`** (`positive` / `negative` / |
| `neutral` — **the edge sign**), `is_reactive`, `issue`, `evidence_quote`, `source` |
| (`planted` / …), `n_inclusion_votes`, `dispute_type`. |
|
|
| ### `articles.parquet` schema (the input) |
| `article_id`, `title`, `body`, `dominio` (topic), **`dureza`** (relation difficulty: |
| `explicita` / `mixta` / `oblicua`), **`es_distractor`** (distractor flag). |
| |
| ## Why synthetic |
| |
| Real Chilean political news carry copyright (CC-BY-NC). This synthetic gold reproduces the |
| register, difficulty, and structure of real coverage — including **distractor articles and |
| near-miss relations** — so it can be shared openly as a reproducible benchmark. |
| |
| ## Evaluation |
| |
| Score a predicted relation set against `gold.parquet` on the `test` split. The reference |
| extractor (`id15` / `gemini_champion_v2`) reaches **f0.5 ≈ 0.89** on detection (undirected), |
| precision-first. Distractors and `dispute_type` test robustness to over-extraction. |
| |
| ## Lineage |
| |
| This gold standard was built and used to develop the **text2SG** extraction pipeline: |
|
|
| 1. **[text2graph-evolve](https://github.com/bpalas/text2graph-evolve)** — evolutionary engine |
| that optimizes extraction prompts/genomes against this gold (fitness = f0.5, precision-first). |
| The champion extractors (`id15`, `gemini_champion_v2`) were evolved here. |
| 2. **[chilean-political-dataset-signed-networks](https://github.com/bpalas/chilean-political-dataset-signed-networks)** |
| — applies those champions at scale to build a signed political network of Chile |
| (2014–2026): ~480k articles → 442k actor nodes, 2.5M signed edges. |
|
|
| So the flow is: **this gold → evolve the extractor → run it on real news → signed graph.** |
|
|
| ## Citation |
|
|
| Part of the **text2SG** line of work on signed political networks. Built by Benjamín Palacios. |
|
|
